CN114817573A

CN114817573A - Knowledge management platform of knowledge graph

Info

Publication number: CN114817573A
Application number: CN202210532553.6A
Authority: CN
Inventors: 房奎凯; 于学超; 吴传伟; 张学辉; 黄咏文; 王焰; 刘泓伯; 李玉文
Original assignee: Shanghai Waigaoqiao Shipbuilding Co Ltd
Current assignee: Shanghai Waigaoqiao Shipbuilding Co Ltd
Priority date: 2022-05-07
Filing date: 2022-05-07
Publication date: 2022-07-29

Abstract

The invention discloses a knowledge management platform of a knowledge graph, which comprises: the system comprises a knowledge application system, a knowledge operation and maintenance system, a knowledge base and an information acquisition system; the information acquisition system, the knowledge application system and the knowledge operation and maintenance system are respectively in communication connection with the knowledge base; the information acquisition system is used for acquiring information data of ship manufacturing and transmitting the information data to the knowledge base for storage; the knowledge application system is used for acquiring information data from the knowledge base and applying the information data to ship manufacturing; the knowledge operation and maintenance system is used for maintaining information data in the knowledge base, so that the knowledge management construction of the ship manufacturing industry can realize the full life cycle management of knowledge and typical application modes such as knowledge acquisition, pushing and the like, can perform data integration and application integration with various business systems, and is seamlessly embedded into various business applications in various service forms, so that the automation degree and the digitization of design results are improved, and meanwhile, the management networking is realized.

Description

Knowledge management platform of knowledge graph

Technical Field

The invention relates to the technical field of computers, in particular to a knowledge management platform of a knowledge graph.

Background

Knowledge management is an important pushing hand for intelligent manufacturing construction of enterprises, and is an important foundation for promoting digitization, realizing networking and supporting intelligence of the enterprises. In the gathering and refining process of knowledge resources, the standardization and digitization of semi-structured and unstructured resources inside and outside an enterprise are realized; the method comprises the following steps of realizing communication of bottom layer data in knowledge resource interconnection, and supporting upper layer service cooperation; based on knowledge extraction and knowledge interconnection, and further knowledge model mining, the automation and the intellectualization of the business can be supported, and the leading effect of the enterprise is really realized.

The knowledge management platform provides a powerful customizable knowledge management portal for users, and builds a knowledge integration and value-added place. At present, the knowledge map field is developed vigorously and widely applied to knowledge management in the general field and the vertical field. For the ship manufacturing industry, knowledge is the foundation and support for business trend informatization, automation and intellectualization. Especially in the whole process of primary design, detailed design and production design of the ship, knowledge is deeply fused with design activities and designers, a new design mode is created, and the automation of the design activities, the digitization of design results and the networking of design management are realized without the support of knowledge management. At present, in the ship manufacturing industry, a knowledge graph is not developed, and the following problems exist in the knowledge data management mode:

firstly, the automation degree of the design activity is low: the collection, processing, pushing and accumulation of data, information and knowledge related to design activities are manually participated, so that the design efficiency is low and the design quality is difficult to ensure;

secondly, the digitization of the design result is weak: from contract signing to production delivery, the intermediate process data and results can not be visible, manageable and shareable, and can not support standard management and result reuse;

thirdly, management is not networked: the networked work cooperation and information sharing of all designers can not be realized, and the full-flow online management of ship construction projects is supported based on a design activity network and a knowledge network.

Disclosure of Invention

The invention aims to overcome the defects that the automation degree of design activities is low, the digitalization of design results is weak, and networking is not realized in management in the prior art, and provides a knowledge management platform of a knowledge graph.

The invention solves the technical problems through the following technical scheme:

the invention provides a knowledge management platform of a knowledge graph, which is applied to knowledge management of ship manufacturing, and comprises the following components: the system comprises a knowledge application system, a knowledge operation and maintenance system, a knowledge base and an information acquisition system;

the information acquisition system, the knowledge application system and the knowledge operation and maintenance system are respectively in communication connection with the knowledge base;

the information acquisition system is used for acquiring information data of ship manufacturing and transmitting the information data to the knowledge base for storage;

the knowledge application system is used for acquiring the information data from the knowledge base and applying the information data to ship manufacturing;

the knowledge operation and maintenance system is used for maintaining the information data in the knowledge base.

Preferably, the knowledge application system comprises:

the system comprises a one-stop search module, a collaborative space module, a knowledge community module, a service standard package module, a knowledge operation module, a knowledge graph module, a personal space module, an S3D intelligent push module and a Tribon search module;

the one-stop searching module is used for enabling a user to acquire related knowledge information through an intelligent searching application;

the collaborative space module is used for providing a service module for project retrieval, project space and data sharing of ship manufacturing for a user;

the knowledge community module is used for providing a space for a user to develop social contact around knowledge of ship manufacturing;

the business standard package module is used for drawing up a product standard package aiming at the development of a new project for shipbuilding;

the knowledge operation module is used for counting the knowledge, document data, projects, communities, standard packages and user behaviors of ship manufacturing;

the knowledge graph module is used for describing knowledge of ship manufacturing and the incidence relation between the knowledge by using a graph model;

the personal space module is used for carrying out centralized management on personal related and interested knowledge and related behavior records and creating a personal exclusive knowledge application space;

the S3D intelligent pushing module is used for pushing knowledge of shipbuilding;

the Tribon searching module is used for providing a searching mode for a user; the searching mode comprises tag searching and keyword searching.

Preferably, the knowledge operation and maintenance system comprises: the system comprises a system management module, an NLP tool module and an operation management module;

the system management module is used for managing knowledge classification, labels, relation rules, terms and templates of ship manufacturing;

the system management module is used for managing user synchronization, role management, function authorization and logs;

the NLP tool module is used for managing the linguistic data, the dictionary and the processing model;

the operation management module is used for managing topics, questions and answers and points.

Preferably, the knowledge base comprises a knowledge template creating module and a knowledge system constructing module;

the knowledge template creating module is used for creating matched templates for knowledge of different types of ship manufactures;

the knowledge system construction module is used for constructing different knowledge systems according to the knowledge of ship manufacturing; the knowledge system comprises a knowledge classification system, a knowledge relation system, a graph data system, a search engine index system and a file system.

Preferably, the knowledge base further comprises a data security management module;

the data security management module is integrated with a unified identity management system of a ship manufacturing enterprise to realize unified management, unified authentication and dynamic linkage of application accounts.

Preferably, the information acquisition system comprises a knowledge life cycle management module and a data source acquisition module;

the knowledge life cycle management module is used for managing the whole process of information acquisition, data cleaning, knowledge processing, knowledge verification, knowledge release and knowledge authority configuration of the knowledge of ship manufacturing;

the data source acquisition module is used for acquiring internal knowledge sources of the shipbuilding enterprises and experience knowledge of users.

Preferably, the collaborative space module comprises: item search unit, item space unit, data sharing unit;

the item retrieval unit is used for searching the ship manufacturing items;

the item space unit is used for providing a matched item space for the ship manufacturing item;

the data sharing unit is used for providing data sharing of the shipbuilding project for users;

and/or, the personal space module comprises: the system comprises a personal data statistical unit and a subscription unit;

the personal data statistics unit is used for personal information overview and displaying data statistics related to individuals

The subscription unit is used for subscribing the information and pushing the information to the user after the information is updated.

Preferably, the service standard packet module comprises a standard packet carding unit, a standard packet uploading unit, a system processing unit, a standard packet management unit and a standard packet application unit;

the standard packet uploading unit is respectively in communication connection with the standard packet carding unit and the system processing unit;

the standard packet management unit is respectively in communication connection with the system processing unit and the standard packet application unit;

the standard packet carding unit is used for carding a standard packet service architecture, a standard packet document structure and standard packet file compression, and transmitting the carded standard packet to the standard packet uploading unit, and the standard packet uploading unit transmits the carded standard packet to the system processing unit for processing of compressed packet decompression and document processing to obtain a target standard packet;

the standard package management unit is used for acquiring the target standard package from the system processing unit to perform standard package authorization, whole package updating and replacing, single document maintenance, knowledge conversion and standard package reference management, so that the standard package application unit performs standard package searching, reference and attachment preview.

Preferably, the knowledge graph module comprises a concept graph unit, an example graph unit and a background management unit;

the concept graph unit is used for displaying concept nodes and relations among the nodes;

the example graph unit is used for displaying example nodes and relations among the nodes;

and the background management unit is used for maintaining and managing the knowledge graph.

Preferably, the S3D smart push module includes: the system comprises a standard specification pushing unit, a drawing pushing unit and an associated guide pushing unit;

the standard specification pushing unit is used for pushing the standard specification of ship manufacturing;

the drawing pushing unit is used for pushing the drawing for ship manufacturing;

the associated guide pushing unit is used for pushing the associated guide of the ship manufacturing.

The positive progress effects of the invention are as follows:

the invention provides a knowledge management platform of a knowledge map, which is provided with a knowledge application system, a knowledge operation and maintenance system, a knowledge base and an information acquisition system, wherein the information acquisition system is used for acquiring information data of ship manufacturing and transmitting the information data to the knowledge base for storage; the knowledge application system acquires the information data from a knowledge base and applies the information data to ship manufacturing; the knowledge operation and maintenance system maintains the information data in the knowledge base, so that the knowledge management construction of the ship manufacturing industry can realize the full life cycle management of knowledge and typical application modes such as knowledge acquisition, pushing and the like, can perform data integration and application integration with various business systems, and can be seamlessly embedded into various business applications in various service forms, thereby improving the automation degree and the digitization of design results, simultaneously realizing management networking and ensuring that ship-building enterprises develop digital transformation and step-by-step intelligent manufacturing.

Drawings

FIG. 1 is a schematic diagram of a first module of a knowledge management platform of a knowledge graph according to an embodiment of the invention;

FIG. 2 is a diagram of a second module of the knowledge management platform of the knowledge-graph in accordance with an embodiment of the present invention;

FIG. 3 is a schematic diagram of a knowledge base construction concept in an embodiment of the present invention;

FIG. 4 is a route diagram of traffic grooming in an embodiment of the present invention;

FIG. 5 is a block diagram of a knowledge application system in an embodiment of the invention;

FIG. 6 is a block diagram of a framework for implementing a one-stop search module according to an embodiment of the present invention;

FIG. 7 is a logic diagram of an implementation of a collaborative space module according to an embodiment of the present invention;

FIG. 8 is a block diagram of an embodiment of the operation and maintenance system of the present invention;

FIG. 9 is a block diagram of a knowledge base in an embodiment of the invention;

FIG. 10 is a block diagram of an information collection system in an embodiment of the invention;

FIG. 11 is a block diagram of a collaborative space module according to an embodiment of the present invention;

FIG. 12 is a block diagram of a personal space module in an embodiment of the invention;

FIG. 13 is a block diagram of a service standard packet module according to an embodiment of the present invention;

FIG. 14 is a block diagram of an implementation framework of a service standard package module according to an embodiment of the present invention;

FIG. 15 is a block diagram of a knowledge-graph module in an embodiment of the invention;

FIG. 16 is a diagram of a frame for implementing a map recognition module in an embodiment of the present invention;

fig. 17 is a schematic block diagram of an S3D smart pushing module in an embodiment of the present invention.

Detailed Description

The invention is further illustrated by the following examples, which are not intended to limit the scope of the invention.

Example 1

As shown in fig. 1 and fig. 2, the present embodiment discloses a knowledge management platform of a knowledge graph, which is applied to knowledge management of ship manufacturing, and the knowledge management platform of the knowledge graph includes: the system comprises a knowledge application system 1, a knowledge operation and maintenance system 2, a knowledge base 3 and an information acquisition system 4;

the information acquisition system 4, the knowledge application system 1 and the knowledge operation and maintenance system 2 are respectively in communication connection with the knowledge base 3;

the information acquisition system 4 is used for acquiring information data of ship manufacturing and transmitting the information data to the knowledge base 3 for storage;

the knowledge application system 1 is used for acquiring the information data from the knowledge base 3 and applying the information data to ship manufacturing;

the knowledge operation and maintenance system 2 is used for maintaining the information data in the knowledge base 3.

In this embodiment, the content stored in the knowledge base mainly includes knowledge of 18 types of knowledge forms, including standard specifications, drawings, design guides, design conventions, check points, quality cases, experience summaries, operation manuals, commonalities opinions, purchase item lists, outfitting POR, POR manifest, supplier equipment data process attachments, technical agreements, patents, general knowledge, industry vocabularies, and the like. The content stored in the knowledge base is mainly various types of knowledge achievements, such as: scientific and technological achievements, standards, processes, personal experiences, industry information, project experiences, journal documents, cases, patents, data knowledge, business standard packages and the like; the stored content of the project library mainly comprises: project information, project document index, IPD document index, etc.; the community library stores contents mainly comprising: topics, exchange stickers, questions and answers, personal data details, point details, commodity introduction, and the like; the system library mainly comprises the following stored contents: templates, knowledge classifications, object instances, relationship rules, ship terms, etc.; the content stored in the basic library mainly comprises: user, organization, administrator logs, roles, user role relationship tables, login logs, and the like;

the stored content of the processing library mainly comprises: the system comprises a classification model, a classification rule, an attribute identification model, a named entity identification model, knowledge to be processed and knowledge to be released after the processing is finished; the content stored in the behavior database mainly comprises: browsing history, collection history, search history, download history, review history, and the like.

From a computer technology point of view, the management of the knowledge base itself is also a special class of databases. According to the technical route of database construction, based on the logic model, different physical models can be projected according to different data management requirements, so that the requirements of data acquisition, storage and application are met.

The knowledge base is a data base of knowledge sharing application, internal and external knowledge sources are analyzed from the perspective of knowledge content acquisition, data acquisition and processing are realized by means of a knowledge life cycle management tool, and an administrator checks, issues and stores the data. The whole process is dependent on the construction achievement of a knowledge system, including knowledge types, templates, knowledge classification and the like. Knowledge base construction idea as shown in fig. 3, the construction based on the knowledge system includes knowledge classification, knowledge templates, knowledge relationships and dictionaries, and the construction process of the knowledge base specifically includes: and analyzing and determining a knowledge source, acquiring data, processing knowledge and warehousing the knowledge.

Wherein analyzing the explicit knowledge sources comprises: and combing knowledge query requirements in the business process according to business analysis and defining data sources including internal and external data sources according to the knowledge query requirements.

The business analysis is used for guiding business requirements, analyzing the business requirements at a more specific level, meanwhile, the business analysis focuses on understanding users and business, and designs an engineering method or tool with strong practicability, so that business personnel can be helped to design rules, structures and technologies to support and improve the work of the business personnel, thereby solving business problems and obtaining remarkable business effects by utilizing business opportunities. Therefore, business analysis is the basis for knowledge base and knowledge graph construction.

As shown in fig. 4, the main idea of service combing is to firstly define the core service constructed this time, to comb the service flow of the core service and key service activities in the flow, including knowledge, knowledge source, knowledge form, etc. required by each activity, and finally to perform knowledge management analysis, which is mainly developed from the current knowledge management state, knowledge application form and knowledge security management state. The results of the service combing include: analysis of core services, analysis of required knowledge contents, analysis of knowledge sources, advantages and disadvantages of the current knowledge management mode, related systems, safety management requirements and the like.

In a specific embodiment, the data sources and data volumes involved in the ship design business are shown in table 1:

TABLE 1

From table 1, it can be seen that the data sources for the items to be integrated include:

OA (standard specification scientific and technological information platform, supplier cooperation platform, King butterfly system, budget system, sunlight purchasing platform), TECH network (quality case management platform, SEM, TRIBON), SWS TIME, Smart.3D; and others: shared folders, personalized small programs of each professional room, files stored in a personal computer and the like; in addition, data of the SWS identity authentication system needs to be integrated to ensure the use safety of users. The total number of the information system sources is 13, and about 500 million basic data can be obtained, so that the project can be ensured to be built into a million-level knowledge base.

And (4) data acquisition, namely, performing data acquisition by using a data acquisition tool on the basis of defining a data source.

Knowledge processing is a key means for constructing knowledge association and forming a knowledge base and a knowledge graph, and is a tool for realizing conversion from raw materials to knowledge. Specifically, the acquired data are processed, mapping between the acquired data and the template is realized based on knowledge template design, and knowledge processing such as word segmentation, classification and extraction is realized through a relevant natural language processing technology. For example, for proof points, a professional proof manual is a raw material and a carrier of knowledge, not the knowledge itself. Knowledge processing is to extract specific check points in a check manual, and associate the profession, the design stage, the design task, the design area and other background information, so that a user can find the check points from any dimension and any angle.

The knowledge processing implementation steps are as follows:

step one, knowledge processing business requirements: and (3) combing the contents needing knowledge processing and mining according to knowledge system design, particularly knowledge templates and knowledge relations to form a business requirement specification of knowledge processing and mining, wherein the business requirement specification comprises the processing contents of each knowledge type and the types needing to form association.

Step two, the technical scheme of knowledge processing: according to the service requirement specification of knowledge processing mining, a specific technical route of a general technical scheme and a key link of the knowledge mining is designed, and each content needing to be associated needs to be supported by the processing scheme and the processing model. Meanwhile, technical indexes of overall knowledge mining and each subentry knowledge mining are determined according to project requirements. This is in part the responsibility of the intelligent technician.

The third step: pre-researching and verifying a machining model technology: and cooperating with service experts, establishing a seed corpus sample base and a dictionary base for each knowledge processing mining model, developing technical pre-research and verification, training the model to expand the sample base, and optimizing a technical route to confirm whether each subentry and the overall technical route can meet the requirement of knowledge mining. Wherein, the system can be participated by business experts and intelligent technicians. The business experts mainly provide the contents of the corpus samples, dictionaries and the like related to the business.

Fourthly, designing and realizing a software system: the goal of this stage is to design and implement a software system and pass system testing, including knowledge engineering using validated knowledge engineering models. This step is handled by intelligent demanders, developers and testers.

And fifthly, continuous knowledge processing and improvement optimization: after the system is realized, continuous processing is needed, and in the processing process, the accuracy may fluctuate or even decrease along with the continuous increase of the knowledge amount, so that the model needs to be improved and optimized according to new corpora. This step is suggested to be commonly attended by business experts as well as intelligent technicians. Wherein, the service expert mainly judges the processing effect.

The knowledge processing order is calculated as follows:

in one embodiment, the document-level data of a ship manufacturing project is not completely counted as follows:

technical data and drawings: each ship has 148 parts of technical agreement, 238 parts of detailed design, 8374 parts of production design and 129 parts of supplier drawings; in total, 4,444,500 parts (148+238+8374+129) × 500 from 500 SWS established ships in the end of 2020; the number of drawings of a single luxury cruise ship exceeds that of a civil ship, but only one is available at present, so that the number of drawings is not counted temporarily.

And (3) enterprise standards: 347+660 parts by weight of 1007 parts; the international standard, the national standard, the classification standard, etc. are expected to be about 1 ten thousand.

Case (2): and item 255.

Design practice, proof manual: one for each specialty, and therefore up to 20 parts in total.

Designing a model and a component: currently, only the storage amount is needed, and the quantity is not enough to be estimated.

The data of the object instance has the following contents: organization (including employees): one 457 and two 170 were designed, so the total of 627 people were assigned to the two departments, and it was concluded that the total number of levels of the organization was added to the number of people, at most 1000.

Ship/project: about 500.

Material supply: 105941+6025 ═ 111966.

Based on the data, the project needs to process about 500 million of data, and a million-level professional knowledge base and a knowledge graph have sufficient data resource foundation. In the system construction, the technical route of data automatic acquisition and supervised automatic knowledge processing is preferably considered to support the automatic expansion of the knowledge base after the future project acceptance.

In this scheme, the implementation content of knowledge processing includes: chinese word segmentation, named entity recognition, automatic classification, document fragmentation and example map construction.

The processing amount of Chinese word segmentation is determined by the magnitude of the professional terms, 189 term standards exist at present, about 200 professional terms exist in each term standard, and more than 3 ten thousand professional terms are incompletely counted. Characteristic words (specific in an algorithm model and not completely professional terms) generated during Chinese word segmentation are expected to be more than 10 ten thousand, the related labeled corpus magnitude needs to be hundreds of thousands of magnitudes, and the work load and difficulty of word segmentation are large.

The construction and fusion workload of the example graph is related to the magnitude of nodes, attributes and relations of the example graph, the requirement of a million-level graph can be met through prediction at present, and the example graph belongs to a medium-scale knowledge graph.

Except that Chinese word segmentation and example map construction are fused, other knowledge processing contents are finally determined according to knowledge templates and knowledge association relations defined by knowledge types, and according to the initial design result of the current knowledge system, the specific implementation contents and workload prediction of the knowledge processing are as shown in Table 2:

TABLE 2

The manual checking, the design convention, the inspection list and the like are fewer in number, and the fragmentation mode of manual splitting is recommended to be more economical and efficient. These quantities of knowledge after fragmentation are estimated to amount to hundreds.

In summary, the content of the project knowledge processing includes 1 set of models for Chinese word segmentation, 1 set of models for instance map construction and fusion, and 5 processing models for named entity recognition, automatic classification and the like, wherein 7 models are counted to support knowledge tagging, form knowledge cards and construct knowledge maps.

Therefore, the final finished processing results including knowledge of document granularity, knowledge point extraction granularity and document fragmentation granularity can be determined, and millions of example nodes of the graph are expected; the number of relationships of the example graph is at least 500 ten thousand calculated by averaging 5 relationships per node.

In the scheme, the step of storing the knowledge specifically comprises the steps that the processed knowledge is audited by an administrator and is released for storage, and meanwhile, a knowledge graph is automatically constructed on the basis of classification and relation definition in a knowledge system.

The scheme discloses a knowledge management platform of a knowledge map, which is provided with a knowledge application system, a knowledge operation and maintenance system, a knowledge base and an information acquisition system, wherein the information acquisition system is used for acquiring information data of ship manufacture and transmitting the information data to the knowledge base for storage; the knowledge application system acquires the information data from a knowledge base and applies the information data to ship manufacturing; the knowledge operation and maintenance system maintains the information data in the knowledge base, so that the knowledge management construction of the ship manufacturing industry can realize the full life cycle management of knowledge and typical application modes such as knowledge acquisition, pushing and the like, can perform data integration and application integration with various business systems, and can be seamlessly embedded into various business applications in various service forms, thereby improving the automation degree and the digitization of design results, simultaneously realizing management networking and ensuring that ship-building enterprises develop digital transformation and step-by-step intelligent manufacturing.

In an implementable manner, as shown in fig. 5, the knowledge application system 1 includes:

the system comprises a one-stop searching module 11, a collaborative space module 12, a knowledge community module 13, a service standard package module 14, a knowledge operation module 15, a knowledge graph module 16, a personal space module 17, an S3D intelligent pushing module 18 and a Tribon searching module 19;

the one-stop searching module 11 is used for enabling a user to acquire related knowledge information through an intelligent searching application;

specifically, the one-stop search module 11 ensures convenience of operation and friendly interface by optimal design. The one-stop search module 11 provides an intelligent search platform for knowledge retrieval for users using the application, and provides corresponding support for finding related knowledge during work. The implementation framework of the one-stop search module 11 is shown in fig. 6, and the one-stop search, i.e. the intelligent search, includes a front-end application and a background management. The front-end application comprises a search home page, a search result list page and a knowledge detail page; background management includes advanced search configuration and search weight configuration.

The main implementation logic of the one-stop search module is shown in table 3:

TABLE 3

Function item	Description of functions
		Searching	Performing a common search and an advanced search
Search in results	In the search result, searching again
		Keyword	Displaying keywords currently in use
Search range switching	Switching different search ranges
		Result screening	Screening again through the screening items in the search result
Sorting	Sorting by relevance and time
		Search result presentation	Presenting search results
Knowledge graph	Displaying a knowledge graph centered on a currently matched graph node
		Related recommendations	Showing the same kind of knowledge of the map node matched with the current one
Extended recommendations	Displaying extended knowledge of graph nodes currently matched

Searching a home page: and carrying out knowledge search in a keyword matching mode.

And carrying out semantic analysis on the search content, and carrying out accurate search by combining a knowledge graph according to an analysis result.

Providing advanced conditions for knowledge search: and searching the recommended search content, clicking to change the batch, and checking the recommendation of the second page.

And (3) searching a result list: and displaying a result list obtained by searching, including a spectrum searching result and a keyword searching result, and supporting viewing according to all and different searching contents.

Knowledge details page: and showing detailed information of knowledge, including text, abstract, knowledge type, label, source, release time, attachment and the like.

The component call design of the one-stop search module 11 is shown in table 4:

TABLE 4

The interface design of the one-stop search module 11 is as follows: atlas search is part of an intelligent search application, with data from the atlas originating from the platform. And when the knowledge data of the platform is newly added or modified, the knowledge data can be synchronized into the map.

The non-functional requirements of the one-stop search module 11 are shown in table 5:

TABLE 5

The collaborative space module 12 is used for providing a service module for project retrieval, project space and data sharing of ship manufacturing for a user;

specifically, a project principal for shipbuilding creates a project on a knowledge management platform and manages project documents and catalogs. Project members can view, maintain and upload project documentation in the project space, and meanwhile, communication discussion among the project members can be provided for the project, and related knowledge pushed by the system can be viewed according to the pushing definition.

The project responsible person can selectively convert the topics of project document data, project problem summary and communication into system knowledge for scientific research personnel to search and view. The specific implementation framework of the collaborative space module 12 is shown in fig. 5: the project space includes applications and background management of the front end. The foreground application comprises a project space home page, a created project and a project detail page; background management includes item management, deleted item management, searching.

As shown in fig. 7, the main implementation logic of the collaborative space module 12 is as follows: the project space home page has the functions of counting according to project types, creating project entries, performing matching search and advanced search on project names/project numbers according to keywords; creating a project for newly building the project and maintaining related information of the project; the project detail page is used for displaying project basic information including names, project states and main research contents; the project members are displayed according to the role dimensions; the maintenance items set the member authority. Various dynamic information in the project home page project, such as uploading files, sharing knowledge and the like; contributing knowledge to select a knowledge type and contributing according to a selected knowledge type template; project data, knowledge recommendation, knowledge precipitation, exchange discussion and product standard packages.

The component invocation design for the collaborative space module 12 is shown in Table 6:

TABLE 6

The collaborative space module 12 interface design is as follows: a TIME & SEM interface for providing 34-class (standard specification TIME, standard specification large-class TIME, standard specification small-class TIME, drawing SEM, purchase list TIME, outfitting POR SEM, supplier equipment data TIME, supplier equipment data SEM, POR detailed list TIME, POR detailed list SEM, supplier equipment data process accessory TIME, supplier equipment data process accessory SEM, technical protocol TIME, technical protocol SEM, supplier TIME, supplier SEM, drawing type TIME, drawing type SEM, detailed/production design professional code TIME, detailed/production design professional code SEM, drawing area corresponding relation table, large area TIME, large area SEM, partition, total section TIME, total section SEM, partition TIME, subsection SEM, shipdon TIME, shipdon's society TIME, ship-level society TIME, SEM) interface for synchronizing TIME and SEM system data, and updating interface data at regular TIME;

S3D interface: and the cooperative work of Smart3D is provided, and the knowledge push of related scenes in the process of working is provided for Smart 3D.

The non-functional requirements of the collaborative space module 12 are shown in Table 7:

TABLE 7

specifically, the knowledge community module 13 develops social space around knowledge, helps a user quickly and accurately obtain desired knowledge in the business processes of scientific research, modeling design and the like, and can also expand and discover new associated knowledge from the knowledge and the desired knowledge, thereby improving the business work development efficiency. The method provides a space surrounding knowledge to develop social contact for designers, and can join with the colleagues and experts, establish personal prestige and mutual communication, discuss, study and participate in activities, continuously enhance the professional ability of the designers and expand the relationship of interpersonal activities.

The main logic of the knowledge community module 13 is as follows: entering the application through the knowledge community APP; searching: global search can be performed through keywords; after entering the application, the home page is recommended to be a default page, and page switching can be performed by clicking the hot list, topics and questions and answers; recommending: recommending related content according to the user portrait, wherein the content is from knowledge community (topics, questions and answers) and project space (topics, questions and answers); the list detail page can be entered for viewing; and sorting by time.

The knowledge community module 13 displays the recommended sources as shown in table 8:

TABLE 8

The knowledge community module 13 component invokes the design, as shown in Table 9:

TABLE 9

The non-functional requirements of the knowledge community module 13 are shown in Table 10:

watch 10

The business standard package module 14 is used for drawing up a product standard package aiming at the development of a new project for shipbuilding;

the service standard package module 14 is described in terms of its logic implementation, which is specifically shown in table 11:

TABLE 11

The component call design of the service standard package module 14 is specifically shown in table 12:

TABLE 12

The non-functional requirements of the service standard package module 14 are shown in table 13:

watch 13

The knowledge operation module 15 is used for counting knowledge, document data, projects, communities, standard packages and user behaviors of ship manufacturing;

the knowledge mapping module 16 is used for describing knowledge of ship manufacturing and the incidence relation between the knowledge by using a graph model;

the main logic implementation description of the knowledge-graph module 16 is shown in table 14:

TABLE 14

The components of knowledge graph module 16 call the design, as shown in table 15:

watch 15

The non-functional requirements of the knowledge-graph module 16 are shown in table 16:

TABLE 16

The personal space module 17 is used for centrally managing personal related and interested knowledge and related behavior records and creating a personal exclusive knowledge application space;

specifically, the application-oriented system user centrally manages the personal related and interested knowledge and the related behavior records, creates a personal exclusive knowledge application space, and can acquire the concerned and interested content in the space in a one-stop manner to provide corresponding support for the user in work.

The implementation framework of the personal space module 17 is as follows: (ii) personal related data statistics; after the user subscribes the relevant information, my subscription is pushed to the user at the first time after the user is updated; my contribution looks at the knowledge of the user's contribution; the exchange discussion can view the topics published by me and the questions initiated/answered by me; the my attention shows that I pay attention to and pay attention to my people and the problems and topics that I pay attention to; my message can view system messages received by me and messages needing to be processed by me; the my collection can be cancelled by checking the knowledge, topics, questions and answers and the like of the collection; the document can perform search and management of the document.

The logic implementation of the personal space module 17 is specifically shown in table 17:

TABLE 17

Function item	Description of functions
		Statistical data	Display I-related data statistics
Personal map	Shows a map with me as the center
		Searching	Keyword search
Screening	Knowledge type screening
		Is provided with	Subscription settings
Topic(s)	Topic related to me
		Question-answering	I initiated/answered questions
People i are concerned with	List and quantity display of people who are concerned by me
		Paying attention to my people	List of people who are interested in my and quantity display
Topic i concern about	Topic list i are interested in
		I concern about the problem	List of I's problems of concern
System messages	Received system message
		Task messages	I receive messages that i need to process
Rules of integration	Display system supported integration rules
		My points	My points acquisition and consumption records

The personal space module 17 has a component design as shown in table 18:

watch 18

The non-functional requirements of the personal space module 17 are shown in table 19:

watch 19

The S3D intelligent pushing module 18 is used for pushing knowledge of shipbuilding;

the Tribon search module 19 is used for providing a search mode for a user; the searching mode comprises tag searching and keyword searching.

The scheme is characterized in that a one-stop searching module 11, a collaborative space module 12, a knowledge community module 13, a business standard package module 14, a knowledge operation module 15, a knowledge graph module 16, a personal space module 17, an S3D intelligent pushing module 18 and a Tribon searching module 19 are arranged in a knowledge application system, so that the knowledge management construction of the ship manufacturing industry can realize the full life cycle management of knowledge and the application modes of typical knowledge acquisition and pushing, and can create a personal exclusive knowledge application space, and can acquire the concerned and interested contents in one stop in the space, provide corresponding support and social space around knowledge for the user in work, help the user to quickly and accurately acquire the wanted knowledge in the business processes of research, modeling design and the like, and can expand and discover new associated knowledge, and the development efficiency of business work is improved.

In an implementation manner, as shown in fig. 8, the knowledge operation and maintenance system 2 includes: a system management module 21, a system management module 22, an NLP tool module 23 and an operation management module 24;

the system management module 21 is used for managing knowledge classification, labels, relationship rules, terms and templates of ship manufacturing;

the system management module 22 is used for managing user synchronization, role management, function authorization and logs;

the NLP tool module 23 is configured to manage corpora, dictionaries, and processing models;

the operation management module 24 is configured to manage topics, questions and answers, and points.

Specifically, the operation management module carries out content condition statistics from a knowledge base, document materials, projects, community contents and standard packages in several dimensions. The operation management module performs statistical analysis on dimensionalities such as user access conditions, average online time, active user conditions and the like to complete analysis on user behaviors. The operation management module carries out transverse comparison on the use conditions of different applications and statistics on longitudinal comparison among different functions of each application, thereby providing decision basis for daily decision and operation activity development related to knowledge.

The operation management module 24 mainly implements the description of logic, which is specifically shown in table 20:

watch 20

The component call design of the operation management module 24 is specifically shown in table 21:

TABLE 21

The non-functional requirements of the operations management module 24 are shown in table 22:

TABLE 22

In the scheme, the system management module 21, the system management module 22, the NLP tool module 23 and the operation management module 24 are arranged in the knowledge operation and maintenance system 2, so that the content of a knowledge management platform of a knowledge map can be counted from a knowledge base, document materials, projects, community content and several dimensions of a standard packet, the user behavior analysis can be counted and analyzed from the dimensions of user access conditions, average online time, active user conditions and the like, in addition, the use conditions of different modules can be transversely compared, and the longitudinal comparison among different functions of each module can be counted, so that a decision basis is provided for the daily decision related to knowledge and the development of operation activities.

As shown in FIG. 9, in an implementable manner, the knowledge base 3 includes a knowledge template creation module 31 and a knowledge hierarchy construction module 32;

the knowledge template creation module 31 is used for creating matched templates for knowledge of different types of ship manufactures;

the knowledge system construction module 32 is used for constructing different knowledge systems according to the knowledge of ship manufacturing; the knowledge system comprises a knowledge classification system, a knowledge relation system, a graph data system, a search engine index system and a file system.

Wherein the knowledge base further comprises a data security management module 33;

the data security management module 33 is integrated with a unified identity management system of a shipbuilding enterprise to realize unified management, unified authentication and dynamic linkage of application accounts.

According to the scheme, the knowledge template creating module, the knowledge system constructing module and the data security management module are arranged in the knowledge base, so that mapping of collected data on the template is achieved, meanwhile, the knowledge system constructing module achieves reorganization and ordering of knowledge resources, through structural organization and clear description of the knowledge resources, high ordering of the knowledge resources is achieved, and sharing and utilization of the knowledge resources are promoted. In addition, the data security management module is arranged to ensure the data security of the database.

As shown in FIG. 10, in one implementable manner, the information collection system 4 includes a knowledge lifecycle management module 41 and a data source collection module 42;

the knowledge life cycle management module 41 is used for managing the whole process of information acquisition, data cleaning, knowledge processing, knowledge verification, knowledge release and knowledge authority configuration of knowledge of ship manufacturing;

the data source collection module 42 is used to collect internal knowledge sources of the shipbuilding enterprise and experience knowledge of the user.

According to the scheme, the knowledge life cycle management module 41 and the data source acquisition module 42 are arranged in the information acquisition system 4, so that the full life cycle management of knowledge can be realized, and in addition, the data source acquisition module can accurately and comprehensively acquire the internal knowledge source of the ship manufacturing enterprise and the experience knowledge of the user.

In one possible implementation, as shown in fig. 11, the collaborative space module 12 includes: an item search unit 121, an item space unit 122, and a data sharing unit 123;

the item retrieval unit 121 is configured to search for an item of shipbuilding;

the item space unit 122 is used for providing a matched item space for the ship-made item;

the data sharing unit 123 is used for providing data sharing of the shipbuilding project for users.

According to the scheme, the project retrieval unit 121, the project space unit 122 and the data sharing unit 123 are arranged in the collaborative space module 12, so that a project principal of ship manufacturing can create projects on a knowledge management platform and manage project documents and catalogues, and in addition, project members of ship manufacturing can view, maintain and upload project document data in the project space. Meanwhile, communication discussion among project group members can be provided for projects, and related knowledge pushed by the system can be viewed according to the pushing definition.

In one possible implementation, as shown in fig. 12, the personal space module 17 includes: a personal data counting unit 171 and a subscription unit 172;

the personal data statistics unit 171 is used for personal information overview and displaying data statistics related to a person

The subscription unit 172 is used for subscribing information and then pushing the information to the user after the information is updated.

According to the scheme, the personal data statistical unit 171 and the subscription unit 172 are arranged in the personal space module 17, so that a user can centrally manage personal related and interested knowledge and related behavior records, and create a personal exclusive knowledge application space, so that the user can acquire the concerned and interested content in the space in a one-stop manner and provide corresponding support for the user in work.

As shown in fig. 13 and fig. 14, in an implementable manner, the service standard packet module 14 includes a standard packet combing unit 141, a standard packet uploading unit 142, a system processing unit 143, a standard packet managing unit 144, and a standard packet applying unit 145;

the standard packet uploading unit 142 is in communication connection with the standard packet carding unit 141 and the system processing unit 143 respectively;

the standard packet management unit 144 is respectively connected to the system processing unit 143 and the standard packet application unit 145 in a communication manner;

the standard packet combing unit 141 is configured to comb a standard packet service architecture, a standard packet document structure, and a standard packet file compression, and transmit the combed standard packet to the standard packet uploading unit 142, where the standard packet uploading unit 142 transmits the combed standard packet to the system processing unit 143 for processing of compression packet decompression and document processing to obtain a target standard packet;

the standard package management unit 144 is configured to obtain the target standard package from the system processing unit 143 to perform standard package authorization, whole package update replacement, single document maintenance, knowledge transformation, and standard package reference management, so that the standard package application unit performs standard package search, reference, and attachment preview.

According to the scheme, the standard package carding unit 141, the standard package uploading unit 142, the system processing unit 143, the standard package management unit 144 and the standard package application unit 145 are arranged in the service standard package module, so that designers can focus on service work, efficiency is greatly improved, and learning cost of novices is reduced.

As shown in fig. 15, in an implementation manner, the knowledge graph module 16 includes a concept graph unit 161, an instance graph unit 162 and a background management unit 163;

the concept graph unit 161 is used for displaying concept nodes and relationships between the nodes;

the instance graph unit 162 is used for displaying instance nodes and relationships between the nodes;

the background management unit 163 is used for maintaining and managing the knowledge graph.

Specifically, the implementation framework of the knowledge-graph module is shown in fig. 16, and the knowledge-graph module includes a front-end application and a background management. Wherein the front-end application comprises a concept graph and an example graph; background management includes knowledge graph management.

According to the scheme, the concept graph unit 161, the example graph unit 162 and the background management unit 163 are arranged in the knowledge graph module 16, so that functions of viewing, retrieving and managing the concept graph and the example graph and the like can be provided for a user, and corresponding support is provided for the user in work.

As shown in fig. 17, in an implementable manner, the S3D smart pushing module 18 includes: a standard specification pushing unit 181, a drawing pushing unit 182, and an associated guide pushing unit 183;

the standard specification pushing unit 181 is configured to push a standard specification for shipbuilding;

the drawing pushing unit 182 is used for pushing the drawing for the ship manufacturing;

the related guide pushing unit 183 is configured to push related guides for manufacturing of ships.

According to the scheme, the standard specification pushing unit 181, the drawing pushing unit 182 and the associated guide pushing unit 183 are arranged in the S3D intelligent pushing module 18, so that the standard specification, the drawing and the associated guide in ship manufacturing can be pushed.

While specific embodiments of the invention have been described above, it will be appreciated by those skilled in the art that this is by way of example only, and that the scope of the invention is defined by the appended claims. Various changes and modifications to these embodiments may be made by those skilled in the art without departing from the spirit and scope of the invention, and these changes and modifications are within the scope of the invention.

Claims

1. The knowledge management platform of the knowledge graph is applied to knowledge management of ship manufacturing, and is characterized by comprising the following components: the system comprises a knowledge application system, a knowledge operation and maintenance system, a knowledge base and an information acquisition system;

2. The knowledge-graph knowledge management platform of claim 1, wherein the knowledge application system comprises:

3. The knowledge management platform of a knowledge-graph of claim 1, wherein the intellectual operation system comprises: the system comprises a system management module, an NLP tool module and an operation management module;

the NLP tool module is used for managing corpora, a dictionary and a processing model;

4. The knowledge management platform of a knowledge graph of claim 1, wherein the knowledge base comprises a knowledge template creation module and a knowledge hierarchy construction module;

5. The knowledge-graph knowledge management platform of claim 4, wherein the knowledge base further comprises a data security management module;

6. The knowledge management platform of a knowledge-graph of claim 1, wherein the information collection system comprises a knowledge lifecycle management module and a data source collection module;

7. The knowledge management platform of a knowledge graph of claim 2, wherein the collaborative space module comprises: item search unit, item space unit, data sharing unit;

the item retrieval unit is used for searching the ship manufacturing items;

8. The knowledge management platform of a knowledge graph of claim 2, wherein the business standard package module comprises a standard package carding unit, a standard package uploading unit, a system processing unit, a standard package management unit, a standard package application unit;

9. The knowledge-graph knowledge management platform of claim 2, wherein the knowledge-graph module comprises a concept graph unit, an instance graph unit, and a back-office management unit;

10. The knowledge management platform of a knowledge-graph of claim 2, wherein the S3D smart push module comprises a standard specification push unit, a drawing push unit, and an associated guideline push unit;