CN113377926B - Construction method of registration meta-model of quality information ontology evolution - Google Patents
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Abstract
The invention discloses a construction method of a registration meta-model of quality information ontology evolution, which is used for widely and deeply researching the application scene and application requirements of a quality information ontology, determining the construction purpose, the use object, the organization range and the application scope of the quality information ontology, estimating the workload of the construction project of the quality information ontology according to the scale and the complexity of domain knowledge, determining the composition and the implementation unit of ontology construction personnel, and reasonably planning the implementation and the scheduling arrangement of the construction of the quality information ontology. The invention provides a construction method of a registration meta-model of quality information body evolution, which specifies the construction method of a quality information body through the arrangement of quality information, defines the quality information body and the registration meta-model of quality information body evolution, and provides the implementation steps of the interoperation of quality inspection information resources based on the body, thereby promoting the standardization of the quality information resources and strengthening the cross-system communication and sharing of the quality information resources based on semantics.
Description
Technical Field
The invention relates to the field of quality information, in particular to a construction method of a registration meta-model of quality information ontology evolution.
Background
The quality management work is well done, the development law of product quality movement is mastered, a full line is needed, research and study are earnestly performed, a large amount of complete and accurate information data are mastered, the accuracy, the integrity and the timeliness of the quality information can seriously influence the quality of decision, the quality information is an indispensable important basis for quality management, the quality management method is used for improving the product quality, organizing two feedbacks inside and outside a factory, improving the most direct original data of the working quality of each link, correctly recognizing the internal relation of the change of factors influencing the product quality and the fluctuation of the product quality, mastering the basic means for improving the regularity of the product quality, is the basis for performing the quality management by using an electronic computer, and is indispensable basic work for strengthening the quality management.
In the evolution process of a quality information ontology, in order to promote standardization of quality information resources, a model is constructed, but the existing construction method cannot effectively arrange quality information and cannot record change rules in the evolution process of the quality information ontology, and therefore, the construction method of the registration meta-model for the evolution of the quality information ontology is provided.
Disclosure of Invention
Based on the technical problems existing in the background technology, the invention provides a construction method of a registration meta-model of quality information ontology evolution, which aims to solve the problems in the background technology.
The invention provides the following technical scheme:
a construction method of a registration meta-model of quality information ontology evolution comprises the following steps:
A. positioning of the quality information body: extensive and deep investigation is carried out on the application scene and the application requirement of the quality information body, the purpose, the use object, the organization range and the application scope of the quality information body construction are determined, the workload of the quality information body construction project is estimated according to the scale and the complexity of the domain knowledge, the composition and the implementation unit of body construction personnel are determined, and the implementation and the scheduling arrangement of the quality information body construction are reasonably planned;
B. collection of quality data: extracting core concepts and relations among the core concepts in the quality inspection field from a quality inspection field knowledge base, a database and a document base, and performing refining and classified management on the core concepts and relations among the core concepts to serve as a construction basis of a quality information body;
C. normalization of quality terms: standardizing and standardizing the extracted concepts and the relation between the extracted concepts, converting terms with unclear meanings, non-standardized description or low formalization degree into terms defined and described by using a standard formalization language according to a certain rule, and organizing the domain knowledge in the quality inspection field into a corresponding quality information ontology conceptual model for describing the application field and the solution of the quality information ontology;
D. modeling of quality information ontology: referring to the existing manual construction method of the domain ontology, selecting one method or combining a plurality of methods to construct a quality information semantic model, and defining classes and a grade system in the quality information ontology;
E. evaluation of quality information ontology: and evaluating the constructed initial quality information ontology according to the application requirement of the quality information ontology, and perfecting the initial quality information ontology by using an iteration method to obtain a field ontology in the quality inspection field.
Preferably, the registration model of the quality information ontology in the step a is composed of a core model of the quality information ontology, an evolution information model of the quality information ontology, and an evolution rule model of the quality information ontology.
Preferably, in the step B, in the collection process of the quality-related data, the integrity and the validity of the data collection are ensured as much as possible, and the application domain of the data is clearly divided.
Preferably, in the step D, one or more ontology description languages may be used to represent the quality information ontology, and the normalized terms in the step C are converted into an ontology-based formal expression.
The invention provides a construction method of a registration meta-model of quality information body evolution, which specifies the construction method of a quality information body through the arrangement of quality information, defines the quality information body and the registration meta-model of quality information body evolution, and provides the implementation steps of the interoperation of quality inspection information resources based on the body, thereby promoting the standardization of the quality information resources and strengthening the cross-system communication and sharing of the quality information resources based on semantics.
Drawings
FIG. 1 is a schematic diagram of the ontology-based quality information system interoperation of the present invention;
FIG. 2 is a schematic diagram of a quality information ontology core model according to the present invention;
FIG. 3 is a model of the evolution information of the quality information ontology of the present invention;
FIG. 4 is a model of the evolution rules of the quality information ontology of the present invention;
FIG. 5 illustrates the ontology-based quality information system interoperation of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-5, the present invention provides a technical solution:
a construction method of a registration meta-model of quality information ontology evolution comprises the following steps:
A. positioning of the quality information body: the method comprises the following steps of widely and deeply investigating application scenes and application requirements of a quality information body, determining the purpose, use objects, organization range, application scope and the like of the quality information body construction, estimating the workload of the quality information body construction project according to the scale and complexity of domain knowledge, determining the composition, implementation units and the like of body construction personnel, and reasonably planning the implementation and scheduling arrangement of the quality information body construction;
B. collection of quality data: extracting core concepts and relations among the core concepts in the quality inspection field from a quality inspection field knowledge base, a database and a document base, and carrying out refinement and classification management on the core concepts and relations among the core concepts as a construction basis of a quality information body;
C. normalization of quality terms: standardizing and standardizing the extracted concepts and the relation between the extracted concepts, converting terms which are unclear in meaning expression, irregular in description or low in formalization degree into terms defined and described by using a standard formalization language according to a certain rule, and organizing the domain knowledge in the quality inspection field into a corresponding quality information ontology conceptual model for describing the application field and the solution of the quality information ontology;
D. modeling of quality information ontology: selecting one method or combining a plurality of methods for constructing a quality information semantic model by referring to the existing manual construction method of the domain ontology, and defining classes, a grade system and the like in the quality information ontology;
E. evaluation of quality information ontology: and evaluating the constructed initial quality information body according to the application requirement of the quality information body, and perfecting the initial quality information body by using an iteration method to obtain a field body in the quality inspection field.
Example one
The method comprises the steps of extensively and deeply researching application scenes and application requirements of a quality information body, determining the purpose, use objects, organization range, application scope and the like of the quality information body construction, estimating the workload of a quality information body construction project according to the scale and complexity of domain knowledge, determining the composition, implementation units and the like of body construction personnel, and reasonably planning implementation and scheduling arrangement of the quality information body construction, wherein a registration model of the quality information body comprises three models, namely a core model of the quality information body, an evolution information model of the quality information body, an evolution rule model of the quality information body and the like, the core model of the quality information body is mainly used for registering the basic structure of the quality information body, the evolution rule information model of the quality information body is used for recording the change rules adopted when the quality information body evolves, the evolution information model and the evolution rule model of the quality information body both depend on the core model of the quality information body, and meanwhile, the evolution rule model of the quality information body also depends on the evolution information model of the quality information body; extracting core concepts and relations among the core concepts in the quality inspection field from a quality inspection field knowledge base, a database and a document base, and carrying out refinement and classification management on the core concepts and relations among the core concepts as a construction basis of a quality information body; standardizing and standardizing the extracted concepts and the relation between the extracted concepts, converting terms which are unclear in meaning expression, irregular in description or low in formalization degree into terms defined and described by using a standard formalization language according to a certain rule, and organizing the domain knowledge in the quality inspection field into a corresponding quality information ontology conceptual model for describing the application field and the solution of the quality information ontology; selecting one method or combining a plurality of methods for constructing a quality information semantic model by referring to the existing manual construction method of the domain ontology, and defining classes, a grade system and the like in the quality information ontology; and evaluating the constructed initial quality information body according to the application requirement of the quality information body, and perfecting the initial quality information body by using an iteration method to obtain a field body in the quality inspection field.
Example two
The method comprises the steps of carrying out extensive and deep investigation on application scenes and application requirements of a quality information body, determining the purpose, use objects, organization range, application scope and the like of the quality information body, estimating the workload of a quality information body construction project according to the scale and complexity of domain knowledge, determining the composition, implementation units and the like of body construction personnel, and reasonably planning the implementation and scheduling arrangement of the quality information body construction, wherein a registration model of the quality information body consists of a core model of the quality information body, an evolution information model of the quality information body, an evolution rule model of the quality information body and the like, the quality information body is an abstract meta class and records basic management information of the quality information body, a quality information body component is an abstract meta class and designates management information of sentences contained in a certain quality information body, the size of sentence granularity can be determined by a user, a quality information body concept is an abstract class and designates management information of a certain non-logical symbol used in the sentences, and the quality information body and a quality information local body are subclass fields of the quality information body, wherein the quality information body designates a quality information body standard body; the quality information local ontology specifies an ontology used by a specific quality inspection application system, and the quality information local ontology should be based on at least one quality information global ontology, the quality information global ontology component and the quality information local ontology component are subclasses of the quality information global ontology component, the quality information global ontology component specifies sentences constituting the quality information global ontology, the sentences registered as the quality information global ontology component can also be contained in the quality information local ontology, and the quality information local ontology component specifies sentences contained in the quality information local ontology; the quality information global ontology concept and the quality information local ontology concept are subclasses of the quality information ontology concept, the quality information global ontology concept specifies non-logical symbols used in sentences registered as quality information global ontology components, the non-logical symbols registered as the quality information global ontology concept can also be used in sentences registered as quality information local ontology components, and the quality information local ontology concept specifies non-logical symbols used in sentences registered as quality information local ontology components; the non-logical symbols specified by the quality information local ontology concept can only be used by sentences registered as quality information local ontology components; extracting core concepts and relations among the core concepts in the quality inspection field from a quality inspection field knowledge base, a database and a document base, refining and classifying the core concepts and the relations among the core concepts to serve as a construction basis of a quality information body, ensuring the integrity and effectiveness of data collection as much as possible in the collection process of quality related data, and clearly dividing the application fields of the data; standardizing and standardizing the extracted concepts and the relation between the extracted concepts, converting terms which are unclear in meaning expression, irregular in description or low in formalization degree into terms defined and described by using a standard formalization language according to a certain rule, and organizing the domain knowledge in the quality inspection field into a corresponding quality information ontology conceptual model for describing the application field and the solution of the quality information ontology; referring to the existing manual construction method of the domain ontology, selecting one method or combining a plurality of methods to construct a quality information semantic model, and defining classes, a grade system and the like in the quality information ontology; and evaluating the constructed initial quality information body according to the application requirement of the quality information body, and perfecting the initial quality information body by using an iteration method to obtain a field body in the quality inspection field.
EXAMPLE III
The method comprises the steps of widely and deeply researching application scenes and application requirements of a quality information body, determining the purpose, use objects, organization range, application scope and the like of the quality information body construction, estimating the workload of a quality information body construction project according to the scale and complexity of domain knowledge, determining the composition, implementation units and the like of body construction personnel, reasonably planning implementation and scheduling arrangement of the quality information body construction, wherein a registration model of the quality information body comprises a core model of the quality information body, an evolution information model of the quality information body, an evolution rule model of the quality information body and the like, an evolution information model of the quality information body is mainly used for recording all information related to the quality information body in the evolution and change processes, evolution information records all evolution information experienced by the quality information body, the evolution of the quality information body can comprise a plurality of evolution steps, and an evolution information item is used for recording each evolution step of the quality information body; the quality information body evolution rule model defines an evolution rule and a corresponding check criterion which can be used by a quality information body in the evolution process so as to ensure that semantic conflict does not exist in the evolved quality information body, the evolution rule specifies a rule which can be used by the quality information body in the evolution process, and the renaming rule is used for renaming the concepts of the quality information body, a quality information body component and the quality information body; deletion rules are used to remove redundant or no longer existing concepts in the quality information ontology; the new rule is used to add a new concept to the quality information ontology, which can be applied to the merging of the quality information ontology. The checking criterion is used for checking the consistency of the evolutionary rule in the aspects of semantics and the like so as to ensure that no conflict exists in the evolved quality information body; extracting core concepts and relations among the core concepts in the quality inspection field from a quality inspection field knowledge base, a database and a document base, refining and classifying the core concepts and the relations among the core concepts to serve as a construction basis of a quality information body, ensuring the integrity and effectiveness of data collection as much as possible in the collection process of quality related data, and clearly dividing the application fields of the data; standardizing and standardizing the extracted concepts and the relation between the extracted concepts, converting terms which are unclear in meaning expression, irregular in description or low in formalization degree into terms defined and described by using a standard formalization language according to a certain rule, and organizing the domain knowledge in the quality inspection field into a corresponding quality information ontology conceptual model for describing the application field and the solution of the quality information ontology; referring to the existing manual construction method of the domain ontology, selecting one method or fusing several methods for constructing the semantic model of the quality information, defining the class, the level system and the like in the quality information ontology, representing the quality information ontology by using one or more ontology description languages, and converting the normalized terms in the step C into formal expression based on the ontology; and evaluating the constructed initial quality information body according to the application requirement of the quality information body, and perfecting the initial quality information body by using an iteration method to obtain a field body in the quality inspection field.
The quality information ontology is a professional ontology in the quality inspection and supervision field, describes public and core concepts in the quality inspection field and relations among the concepts by using a formalized method, can be used as a standard representation of quality inspection field knowledge, provides a public semantic basis for information sharing, exchange and interoperation among different quality inspection departments in the quality inspection working practice, and can be used for promoting interaction, cooperation and interoperation among heterogeneous quality inspection information systems. The ontology-based quality information system interoperation in fig. 5 may be implemented by the following implementation steps:
(1) Constructing a quality information body as a semantic basis for interoperation of a quality information system;
(2) Establishing a glossary of a quality control information system, and defining the definition and meaning of terms contained in the glossary;
(3) Establishing semantic association between terms in a term list of a quality inspection information system and corresponding concepts in a quality information body, wherein the semantic association can be equivalent semantic association, parent-child association and the like in the working practice of quality inspection.
(4) And (4) realizing information exchange and semantic interoperation among different quality inspection information systems based on the semantic association established in the step (3).
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (2)
1. A construction method of a registration meta-model of quality information ontology evolution is characterized by comprising the following steps:
A. positioning of the quality information body: the method comprises the steps of extensively and deeply researching application scenes and application requirements of a quality information body, determining the purpose, use objects, organization range and application scope of the quality information body construction, estimating the workload of a quality information body construction project according to the scale and complexity of domain knowledge, determining the composition and implementation units of body construction personnel, and reasonably planning the implementation and scheduling arrangement of the quality information body construction, wherein a registration model of the quality information body comprises three models, namely a core model of the quality information body, an evolution information model of the quality information body and an evolution rule model of the quality information body, the core model of the quality information body is mainly used for registering the basic structure of the quality information body, the evolution information model of the quality information body is used for recording the evolution and change information of the quality information body, and the evolution rule model of the quality information body is used for recording the change rule adopted when the quality information body evolves;
B. collection of quality data: extracting core concepts and relations among the core concepts in the quality inspection field from a quality inspection field knowledge base, a database and a document base, and carrying out refinement and classification management on the core concepts and relations among the core concepts as a construction basis of a quality information body;
C. normalization of quality terms: standardizing and standardizing the extracted concepts and the relation among the extracted concepts, converting terms with unclear meaning expression, non-standardized description or low formalization degree into terms defined and described by using standard formalization language according to a certain rule, and organizing the field knowledge in the quality inspection field into a corresponding quality information ontology conceptual model for describing the application field and the solution of the quality information ontology;
D. modeling of quality information ontology: selecting one method or combining a plurality of methods for constructing a quality information semantic model by referring to the existing manual construction method of the domain ontology, and defining the class and the level system in the quality information ontology;
E. evaluation of quality information ontology: evaluating the constructed initial quality information ontology according to the application requirement of the quality information ontology, and perfecting the initial quality information ontology by using an iteration method to obtain a field ontology in the quality inspection field;
in the step D, one or more ontology description languages may be used to represent the quality information ontology, and the normalized terms in the step C are converted into an ontology-based formal expression.
2. The method for constructing the registration meta-model evolved by the quality information ontology according to claim 1, wherein: in the step B, in the collection process of the quality-related data, the integrity and the effectiveness of data collection are ensured, and the application domain of the data is clearly divided.
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