CN110750651B - Knowledge graph construction method based on scientific and technological achievements - Google Patents
Knowledge graph construction method based on scientific and technological achievements Download PDFInfo
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Abstract
The invention relates to the technical field of knowledge graph representation and reasoning, and discloses a knowledge graph construction method and a knowledge graph generation device based on scientific and technological achievements, wherein the knowledge graph construction method comprises the following steps: a basic framework for making a knowledge graph of the scientific and technological achievement comprises a first entity interval and a plurality of second entity intervals which are related to the first entity interval; acquiring metadata of the achievements based on description information and basic characteristics of the achievements, determining entity data and attributes of the entity data according to the metadata, and filling the entity data into a basic framework to form an achievements portrait based on technological achievements; and extracting keywords of the scientific and technological achievements according to the achievements, correlating the keywords to obtain other scientific and technological achievements related to the scientific and technological achievements, realizing the correlation of knowledge, filling the keywords and the related scientific and technological achievements into a basic framework, and realizing the construction of a knowledge graph. Through the steps, related technical achievements are collected, technical analysis is carried out on the related achievements, and the technical value and the advancement of the achievements are revealed.
Description
Technical Field
The invention relates to the technical field of knowledge graph representation and reasoning, in particular to a knowledge graph construction method and a knowledge graph generation device based on scientific and technological achievements.
Background
With the high-speed development of big data and artificial intelligence technology, a series of visualization methods are widely applied. Wherein, the knowledge graph is one of them.
The knowledge graph is a knowledge system composed of entities and entity relations, and a clear relation network is constructed by mapping different entities into different nodes and mapping the entity relations into edges of the nodes. The method displays the complex knowledge field through data mining, information processing, knowledge metering and graphic drawing, reveals the dynamic development rule of the knowledge field, and provides a practical and valuable reference for discipline research. In addition, the knowledge graph technology is a component part of the artificial intelligence technology, and the strong semantic processing and interconnection organization capability of the knowledge graph technology provide a basis for intelligent information application. With the development and application of artificial intelligence, knowledge maps have been widely used in intelligent search, intelligent question-answering, personalized recommendation, content distribution and some professional research fields as one of key technologies.
However, in the technological achievement transferring and converting process, there is a problem of low conversion rate, and the key point of the problem is that: the two sides of the achievement transformation have the problem of asymmetric information, the scientific research university is taken as an achievement supply party, the enterprise is taken as an achievement demand party, and a supply and demand relation is required to be established between the two parties. The conventional achievements conversion platform is not complete enough in description information of scientific achievements, only comprises basic introduction of achievements, lacks key descriptions of technical level, stage, application prospect, innovation and the like of the achievements, cannot draw attention of enterprises, and finally causes the problem that the demanded enterprises cannot acquire valuable scientific achievements, so that the scientific achievements cannot be converted smoothly.
In addition, the technological achievements on the existing conversion platform are too simple in description of the achievements, the advancement of the achievements cannot be comprehensively reflected, keyword extraction and knowledge association are needed for the achievements, all relevant technological achievements including domestic and foreign technological papers and patents are collected, and technological analysis is conducted on the relevant achievements, so that the technological value and advancement of the achievements are disclosed.
Therefore, a knowledge graph construction method based on achievement transformation is needed, and achievement data is analyzed by a visual method to help improve achievement transformation rate.
Disclosure of Invention
The invention aims to provide a knowledge graph construction method based on scientific and technological achievements, which can facilitate effective checking by a user and improve the achievement conversion rate by visualizing achievement information in a knowledge graph mode.
Another object of the present invention is to provide a generating apparatus capable of obtaining a knowledge graph by using the above-described construction method.
To achieve the purpose, the invention adopts the following technical scheme:
a knowledge graph construction method based on scientific and technological achievements comprises the following steps:
a basic framework of a knowledge graph of the scientific and technological achievement is established, wherein the basic framework comprises a first entity interval and a plurality of second entity intervals which are associated with the first entity interval;
based on the description information and basic characteristics of the scientific and technological achievements, metadata of the scientific and technological achievements are obtained, and entity data and attributes defining the entity data are determined according to the metadata;
filling the entity data into the basic framework, and forming a result portrait based on the technological result;
extracting keywords of the scientific and technological achievements according to the achievements portrait, and obtaining the scientific and technological achievements related to the scientific and technological achievements in a correlation mode according to the keywords so as to realize the correlation of knowledge;
and filling the keywords and the related scientific and technological achievements into the basic framework to construct a knowledge graph.
Further, the basic framework for making the knowledge graph of the scientific and technological achievement further comprises: determining attribute relationships between the first entity interval and the second entity interval, and determining attribute relationships between the two associated second entity intervals.
Further, the determining the attribute relationship between the first entity interval and the second entity interval includes: and determining the attribute relationship between the entity data in the first entity interval and the second entity interval which are mutually related according to the appointed field.
Further, the entity data includes: technical field, technical method, technical problem, beneficial effect and application field of achievements.
Further, the entity data is respectively filled in the first entity interval or the second entity interval.
Further, the defining the attribute of the entity data includes: and dividing and classifying the entity data according to the appointed field, and filling the entity data into the first entity interval or the second entity interval.
Further, the achievement portrait includes: related patents or papers of achievements, research institutions, contact ways, responsible persons, types of achievements, industry classifications, technical fields, technical methods, technical problems, beneficial effects and application fields.
Further, the first entity interval is defined as a core interval, and the second entity interval is defined as an expansion interval.
Further, the achievements are filled in the core interval, and the technical field, the technical method, the technical problem, the application field and the beneficial effects are respectively filled in the unfolding interval;
and filling the attribute relationship in a connecting line of the core interval and the unfolding interval.
A generating apparatus comprising:
an acquisition unit that acquires metadata of an outcome from release information of the outcome;
an extraction unit which picks up the metadata of the result to obtain entity data of the result;
the identification unit is used for identifying attribute information of the entity data and classifying the entity data;
and the storage unit is used for storing the constructed knowledge graph.
The invention has the beneficial effects that:
the invention provides a knowledge graph construction method and a knowledge graph generation device based on scientific and technological achievements, wherein the knowledge graph construction method comprises the following steps: firstly, a basic framework of a knowledge graph of a scientific and technological achievement is established, wherein the basic framework comprises a first entity interval and a plurality of second entity intervals which are associated with the first entity interval; secondly, based on description information and basic characteristics of the achievements, metadata of the achievements are obtained, entity data and attributes of the entity data are determined according to the metadata, and the entity data are filled into a basic framework to form a achievements portrait based on technological achievements; and extracting keywords of the scientific and technological achievements according to the achievements and correlating to obtain other scientific and technological achievements related to the scientific and technological achievements according to the keywords, so that knowledge correlation is realized, and the keywords and the related scientific and technological achievements are filled into a basic framework to realize knowledge graph construction. Through the steps, the method is beneficial to collecting related technical achievements, including domestic and foreign scientific papers and patents, and technical analysis is carried out on the related achievements, so that the technical value and the advancement of the achievements are revealed.
Drawings
FIG. 1 is a flow chart of a method of constructing a knowledge graph provided by the present invention;
FIG. 2 is a schematic diagram of a achievements representation based on a scientific achievements of the present invention;
FIG. 3 is a schematic diagram of a basic framework of a knowledge graph based on technological achievements of the present invention;
FIG. 4 is a schematic diagram of a basic framework of a knowledge graph based on a scientific and technological achievement;
FIG. 5 is a schematic diagram III of a basic framework of a knowledge graph based on a scientific and technological achievement;
fig. 6 is a schematic diagram of a basic framework of a knowledge graph based on a scientific and technological achievement.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures.
In the description of the present invention, it should be noted that the terms "first," "second," "third," and the like are used merely to distinguish between descriptions and are not to be construed as indicating or implying relative importance. In the description of the present invention, unless otherwise indicated, the meaning of "a plurality" is two or more.
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative only and are not to be construed as limiting the invention.
In the existing technological achievement conversion platform, when basic information of technological achievement is displayed, the mode of presentation is generally as follows: the segmented spread results in a certain problem for users to read or understand, and in addition, a problem that the description information of part of technological achievements is unclear. Therefore, in order to solve the above-mentioned problems, the present invention provides a knowledge graph construction method based on technological achievements, so as to disclose the advancement and value of the achievements and assist the technological achievements to effectively transfer and transform.
As shown in fig. 1, the invention provides a knowledge graph construction method based on scientific and technological achievements, which comprises the following steps:
s10: making a basic framework of a knowledge graph of the scientific and technological achievements;
s20: based on the description information and basic characteristics of the scientific and technological achievements, metadata of the scientific and technological achievements are obtained, and entity data and attributes of the entity data are determined according to the metadata;
s30: filling entity data into a basic framework, and forming a achievement portrait based on scientific and technological achievements;
s40: extracting keywords of the scientific and technological achievements according to the achievements, and obtaining the scientific and technological achievements related to the scientific and technological achievements in a correlated way according to the keywords so as to realize the correlation of knowledge;
s50: and filling the keywords and related scientific and technological achievements into a basic framework to realize the construction of the knowledge graph. Through the steps, related entity data can be extracted according to the description information of the achievements and the basic characteristics thereof, the drawn basic framework is filled in, the relation between the attributes of the entity data and the related entity data is defined, so that the construction of a knowledge graph is realized, the related achievements of the achievements are associated through keywords, the association of knowledge is realized, the knowledge graph is analyzed, the advancement and the feasibility of the achievements are revealed, and finally the conversion rate of the technical achievements of the family is improved.
Specifically, step S10 is to make a basic framework of the knowledge graph, as shown in fig. 2-6, where the basic framework includes a first entity section located in the center and a plurality of second entity sections associated with the first entity section. The basic framework further comprises attribute definitions for the first entity section and the second entity section, and attribute relationships between the first entity section and the second entity section. As shown in fig. 2, the relationship between the technological achievement and the technical problem is "solution problem", and the "technological achievement" and the "technical problem" are defined as the attribute of the first entity zone and the second entity zone.
The attribute relationship between the first entity interval and the second entity interval, namely the relationship between the two entity intervals added with the association on the connecting line of the basic framework, such as the relationship between the 'technological achievement' and the 'technical method', can be defined as 'containing' or 'existence'; the relationship between "technical method" and "technical problem" may be defined as "solution". Of course, the attribute relationship between the first entity interval and the second entity interval may be determined, and then the entity data may be respectively filled into the basic frames.
By establishing attribute relationships with associated entity data, relevance between entity data and convenience of indexing can be realized. Meanwhile, the attribute relationship among the entity data is also beneficial to expanding the knowledge graph, and further can be associated with other scientific and technological achievements.
Further, defining a relationship between adjacent two entity data includes: and determining attribute relations between the two entity data which are associated with each other according to the designated field. Namely, the attribute relationship is filled in the connection line between the first entity interval and the second entity interval, or the attribute relationship is filled in the connection line between the two second entity intervals.
The descriptive information and cost-saving characteristics of the result described in step S20 include basic information, result level, market analysis, transaction information, and other information. Wherein, the basic information includes: patent/paper for result name, introduction, study and release time, application field, key technology/technical index and result output; the achievement level includes: the technical level of achievements (leading position in the world and in the home), innovation points, maturity/achievements stage and application condition; market analysis includes: practical objects of achievements, application prospects, economic value analysis, market risk analysis and construction production conditions; the transaction information includes: contact means and transaction means; other information includes: team, member introduction, affiliated project, and winning information.
And acquiring metadata of the result according to the description information of the result. The metadata of the achievements are titles of scientific achievements, and can also be patents or scientific papers, such as 'abstract', 'description', 'beneficial effect' of the patents, or 'names', 'introduction', 'experimental method' and 'conclusion', etc. of the papers.
In step S20, entity data of the scientific and technological achievement and attributes defining the entity data are extracted from the obtained metadata. Specifically, the entity data includes: technical field, technical method, technical problem, beneficial effect and application field of achievements still include: technical points, the achievement patent, research institutions, responsible persons, industry classification, achievement types and the like. Defining the attribute of the entity data to be obtained, classifying the entity data, if the entity data of the scientific and technological achievement belongs to a technical method, classifying the entity data into a group of technical methods; if the entity data belongs to the application field, the entity data is classified into a group of the application field. This approach can help to facilitate capturing entity data for the construction of a map.
As shown in fig. 2, the location filled with the "scientific and technological achievement" is a first entity section, and the plurality of locations connected with the first entity section by a connection are second entity sections, where the first entity section and the second entity section can be used for filling in entity data.
In addition, in this embodiment, the first entity section may be defined as a core section, and the second entity section may be defined as an expansion section. As the name implies, the expansion section is expanded based on the core section, that is, the entity data filled into the expansion section is expanded in association with the entity data filled into the core section, it can be understood that the entity data filled into the core section is a larger set, and the entity data filled into the expansion section is an element in the larger set. According to the idea, it can be understood that the knowledge graph is developed according to the method of total-score so as to realize the development of the entity data and the association with other entity data.
Specifically, in the present embodiment, the results are filled into the core section; and filling the technical field, the technical method, the technical problem, the application field and the technical points into the unfolding interval respectively.
Further, defining attributes of entity data includes: and dividing and classifying the entity data according to the appointed field, and filling the entity data into the first entity interval or the second entity interval. Specifically, the "specified domain" herein may classify the entity data according to the technical domain to which the result belongs, such as mechanical, medical health, electronic communication, etc., so as to facilitate the subsequent filling into the basic framework.
Step S30 is to fill the entity data into the basic framework and form a result image based on the technological result, as shown in FIG. 2, the result image comprises: related patents or papers of achievements, research institutions, contact ways, responsible persons, types of achievements, industry classifications, technical fields, technical methods, technical problems, beneficial effects and application fields. The result portrait can be understood as classifying and summarizing the result description information, intuitively displaying the basic characteristics of the result and facilitating the understanding and analysis of technicians.
Specifically, when making the fruit representation, the entity data can be respectively filled into the first entity area or the second entity area. With continued reference to FIG. 2, the "technological effort" is filled into the first physical section in accordance with the "larger set" described above, and correspondingly, other "elements" according to the development of the technological effort are filled into the second physical sections.
Step S40 is to extract keywords of technological angles of technological achievements according to the achievements, and associate the related technological achievements through the keywords so as to realize knowledge association. Specifically, as shown in fig. 3, keywords are extracted from the "technical points" of the "technological achievement", and a search is made by a plurality of keywords, so that the related/belonging technical field of the family technological achievement is searched, the technical problem in the related/belonging technical field and the technical point for solving the technical problem can be further associated to obtain the related technological achievement, and the association of knowledge is realized.
In step S50, the above keywords, entity data and related technological achievements are filled into the basic frame to implement knowledge graph construction and expansion. Through the synergistic effect of the steps, the detailed analysis of the technological achievement information and the analysis of technological achievement advancement and the correlation of knowledge are realized.
The construction of knowledge maps based on technological achievement transformation is explained in connection with fig. 4-6:
the knowledge graph construction method based on technological achievement transformation comprises two routes: technology line and application line. The technical line is developed by a technical method, technical points and technical problems to be solved; the application line is unfolded by the application angle of the application field.
Fig. 4 shows a technical line based on scientific achievements, technical fields, technical methods, technical points and technical problems, specifically: technological achievement existence/inclusion technical method, technological method existence/inclusion technical point, technical point solve technical problem, technical field solve technical problem. The attribute relationship between the specific entity data exists on the connecting line between the adjacent entity data.
The knowledge graph shown in fig. 5 is located in the core region, and the "technical field" is consistent with the "technical field" shown in fig. 2, and all the knowledge graphs represent the technical field of technological achievements. Fig. 4 mainly shows a knowledge graph developed by taking the "technical field" as a core, wherein the "technical field" and the "related technical field" in the technical field are included, and it should be noted that the technical field to which the technological achievement belongs may belong to a branch field, so that development analysis needs to be performed on the technical field and the related field. Of course, attribute relationships are established for both the technical problem existing in the "technical field" and the technical point of solving the technical problem. And shows scientific and technological achievements related to the technical field and application fields to which the technical field belongs.
The development is performed based on the technical field, so that the development is beneficial to related achievements of the technological achievements, technical problems solved by the related technological achievements and the like, the coverage range of the knowledge graph is enlarged, and all information of the technological achievements to be converted is more comprehensively displayed.
Fig. 6 shows a knowledge graph developed by taking a "technical point" as a core, including technical fields, scientific achievements and technical methods related to the technical point. The technical points shown in the figure are all pointed objects, so that the technical points can be unfolded as a core interval to be related to other entity data.
In this embodiment, for the arrow direction shown in the figure, the attribute relationship is represented by the fact that the originating end of the arrow points to the pointed end, i.e., the entity data of the originating end has "solve" or "contain" the entity data of the pointed end.
Further, the technical fields, application fields, technical methods, technical points, technical problems, intentional effects, and the like mentioned herein are all considered to be broadly construed as follows:
technical field: namely, technological achievements are found, positioned and classified based on the technical point of view.
Application field: the application scenes of the scientific achievements are classified from the aspect of achievements application.
The technical method comprises the following steps: the technical features are connected through corresponding relations to form a complete technical means.
The technical points are as follows: also known is the technical feature, namely the most central invention point related to the technical method.
Technical problems: namely, the technical problem which is solved by the corresponding technical method is the technical problem.
The beneficial effects are that: namely, the effect achieved by solving the technical problems is achieved by corresponding to the technical problems.
Type of achievement: i.e. which type of outcome is defined, such as drug, material, device, etc.
The invention also provides a knowledge graph generation device based on scientific and technological achievements, which comprises the following steps:
and an acquisition unit that acquires metadata of the result based on the release information of the result. The metadata of the technological achievements are obtained through webpage crawling, voice content extraction, video resource subtitle crawling or third-party server acquisition and the like.
And the extraction unit is used for picking up the metadata of the result to obtain the entity data of the result. On the basis of the acquired metadata, the lexical, grammatical and/or semantic of the metadata are analyzed, and entity data and attribute relations among the entity data are obtained by capturing.
And the identification unit is used for identifying attribute information of the entity data and classifying the entity data.
And the storage unit is used for storing the constructed knowledge graph. The constructed knowledge graph can be stored in a relational database, a Hash table mode or an index mode and the like.
Through the knowledge graph construction method and the knowledge graph generation device, the knowledge graph construction method and the knowledge graph generation device can be effectively combined with technological achievement transformation, information of the technological achievement is completely displayed in a knowledge graph mode, comprehensive display is provided for the technical problems of the related technical field, the technical method and the solution, expansion in the technological achievement transformation process is facilitated, and technological achievement transformation is promoted.
It is to be understood that the above examples of the present invention are provided for clarity of illustration only and are not limiting of the embodiments of the present invention. Other variations or modifications of the above teachings will be apparent to those of ordinary skill in the art. It is not necessary here nor is it exhaustive of all embodiments. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the invention are desired to be protected by the following claims.
Claims (9)
1. The knowledge graph construction method based on the scientific and technological achievements is characterized by comprising the following steps of:
a basic framework of a knowledge graph of the scientific and technological achievement is established, wherein the basic framework comprises a first entity interval and a plurality of second entity intervals which are associated with the first entity interval;
based on the description information and basic characteristics of the scientific and technological achievements, metadata of the scientific and technological achievements are obtained, and entity data and attributes defining the entity data are determined according to the metadata;
filling the entity data into the basic framework, and forming a result portrait based on the technological result;
extracting keywords of the scientific and technological achievements according to the achievements portrait, and obtaining the scientific and technological achievements related to the scientific and technological achievements in a correlation mode according to the keywords so as to realize the correlation of knowledge;
and filling the keywords and the related scientific and technological achievements into the basic framework to construct a knowledge graph.
2. The knowledge graph construction method based on technological achievements according to claim 1, wherein the making of the basic framework of the knowledge graph of technological achievements further comprises: determining attribute relationships between the first entity interval and the second entity interval, and determining attribute relationships between the two associated second entity intervals.
3. The knowledge graph construction method based on technological achievements according to claim 2, wherein the determining the attribute relationship between the first entity section and the second entity section includes: and determining the attribute relationship between the entity data in the first entity interval and the second entity interval which are mutually related according to the appointed field.
4. The knowledge graph construction method based on technological achievements according to claim 2, wherein the entity data includes: technical field, technical method, technical problem, beneficial effect and application field of achievements.
5. The knowledge graph construction method based on technological achievements according to claim 1, wherein the entity data is respectively filled in the first entity area or the second entity area.
6. The knowledge-graph construction method based on technological achievements according to claim 1, wherein the defining the attributes of the entity data includes: and dividing and classifying the entity data according to the appointed field, and filling the entity data into the first entity interval or the second entity interval.
7. The knowledge graph construction method based on technological achievements according to claim 1, wherein the achievements portrait includes: related patents or papers of achievements, research institutions, contact ways, responsible persons, types of achievements, industry classifications, technical fields, technical methods, technical problems, beneficial effects and application fields.
8. The knowledge graph construction method based on technological achievements according to claim 4, wherein the first entity section is defined as a core section and the second entity section is defined as an expansion section.
9. The knowledge graph construction method based on technological achievements according to claim 8, wherein the fruits are filled in the core section, and the technical field, the technical method, the technical problem, the application field and the beneficial effects are respectively filled in the expansion section;
and filling the attribute relationship in a connecting line of the core interval and the unfolding interval.
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