Main body complexity analyzing evaluation method based on concepts model

A conceptual model and complex technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of insufficient systematic and comprehensive evaluation and analysis methods, insufficient rationality verification, and single analysis methods.

Inactive Publication Date: 2008-01-30
TONGJI UNIV
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Problems solved by technology

[0011] Aiming at the shortcomings of the existing ontology complexity evaluation and analysis methods and indicators, the present invention proposes an ontology complexity analysis and evaluation method based on a conceptual model to overcome the fact that the existing evaluation and analysis methods are not systematic enough, the analysis means are relatively single, and the analysis is reasonable The lack of convincing verification and insufficient analysis of the reasons for complexity changes

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  • Main body complexity analyzing evaluation method based on concepts model
  • Main body complexity analyzing evaluation method based on concepts model
  • Main body complexity analyzing evaluation method based on concepts model

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[0032] An ontology complexity analysis and evaluation method based on a conceptual model. For the convenience of explaining this method, the following definitions are first given:

[0033] Concept: The concept in the ontology conceptual model is a concept in a broad sense. Except for the general concept, it can refer to any affairs, such as tasks, functions, behaviors, strategies, reasoning processes, etc., and is represented by a lowercase symbol c. In other ontologies, "Concept" may be called "Class" or "Term".

[0034] Concept set: the set of all concepts in the concept model, represented by a capital symbol C, that is, C={c 1 , c 2 ,...,c m}. The number of elements in the concept set |C|=m means that the concept model contains m concepts.

[0035] Relationship: The relationship in the ontology concept model refers to the interaction between concepts, which is represented by the lowercase symbol r. The relationships in this approach include only those that reflect inhe...

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Abstract

An analysis and evaluation method of the body complexity based on a conceptual model mainly comprises the following steps. The first step is to get the needed version of the analysis body which is converted to the form of a DAG graph. The second step is to sort all the concepts inside a single body from high to low according to the importance, calculate and store the number of the paths, the longest path length and the average path length of every concept being sorted in the form of a table, and analyze the properties and rules of the distributing complexity of the single body. In the second step, the concepts with the same degree of importance are sorted from low to high according to the average length of the path. From the mutual reliable relationship among the concept, relation and path, the invention overcomes the deficiencies of the non-systematic and non-complete evaluation and analysis method, the lack of convincingness of the reasonability verification of the analysis and the insufficiency of the analysis to the reasons for the change of the complexity through the analysis of the body conceptual model, and has wide applicable scope.

Description

technical field [0001] The invention relates to a method for analyzing and evaluating the complexity of the constructed ontology during ontology evolution. It is oriented towards the field of computer ontology engineering. Background technique [0002] At present, the Web is developing rapidly, and various applications on the Web are becoming more and more complex. However, the existing information on the Web is incomprehensible to computers, which greatly affects the automation, integration and intelligence of Web applications. So Berners-Lee proposed the goal of the next-generation Web—Semantic Web, which is to make the information on the Web have semantics that computers can understand. One of the important ideas is to use ontology to represent semantic information, thereby improving the intelligence of Web information services. and automation. This poses a new challenge to ontology planners, designers and developers—ontology engineering, that is, the construction of o...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/00
Inventor 张大陆杨哲叶钏
Owner TONGJI UNIV
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