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Comprehensive body similarity detection method

A detection method and similarity technology, applied in the fields of instrumentation, calculation, electrical and digital data processing, etc., can solve problems such as imperfection and insufficient consideration of semantic information, and achieve the effect of improving accuracy

Inactive Publication Date: 2010-12-29
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology

[0040] In general, although the current research on ontology similarity detection technology has achieved some results, there are still many shortcomings: (1) Most of the existing methods are based on language grammar and pattern information, but do not fully consider the semantics contained in the ontology information
(3) In terms of the expressiveness, effectiveness, and balance of the calculation amount of the algorithm, it is still far from perfect

Method used

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Embodiment Construction

[0078] Relevant technical content and detailed description of the present invention, now cooperate accompanying drawing to explain as follows:

[0079] Such as figure 1 As shown, the present invention provides a comprehensive ontology similarity detection method, by calculating ontology concept similarity from four aspects of semantic similarity, pragmatic similarity, structural similarity and attribute similarity, which not only reflects the structural characteristics of ontology , the common cognition of numerical attributes and object attributes, and further analyze the domain knowledge contained in ontology from the perspective of semantics. Through the integration of network search results, the knowledge base is updated in time to reflect the real-time changes in the correlation between concepts, and to more accurately evaluate the similarity between ontology concepts. The method, including:

[0080] Step 1: Construct the tree structure of the ontology, and determine t...

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Abstract

The invention relates to a comprehensive body similarity detection method, which comprises the steps of constructing tree structures of bodies, calculating semantic similarity, pragmatic similarity, structural similarity and attribute similarity of a source node and a target node, and obtaining an integral similarity by weighted summation. The attribute characteristics and structural characteristics of the bodies are considered, semantic information contained in the bodies is taken as an important index for balancing the similarity, and weight assignments and network search results are added for dynamic update aiming at the characteristics of different bodies, so the accuracy of body similarity detection is improved by fully using the characteristics of the bodies to calculate the similarity of the bodies without obviously increasing the calculation complexity.

Description

technical field [0001] The invention belongs to the field of ontology modeling, and relates to a comprehensive ontology similarity detection method, in particular to a ontology similarity detection method based on comprehensive indicators of various aspects based on clear concept weights. Background technique [0002] An ontology is a formalized specification of a shared conceptual model. Ontology defines domain concepts and their relationships, and facilitates knowledge sharing and reuse. In recent years, it has become a hot topic in research fields such as semantic web, artificial intelligence, data integration, and information retrieval, and plays an important role in these fields. However, in the process of rapid development, ontology construction lacks a unified standard, resulting in different representations of domain knowledge by ontology researchers in the same field, and there is a certain degree of heterogeneity among the constructed ontologies, which affects the ...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 王芙蓉田颖
Owner HUAZHONG UNIV OF SCI & TECH
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