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Method and system for controlling multi-level ontology matching based on semantemes

A control method and multi-level technology, which is applied in the fields of instrumentation, computing, and electrical digital data processing, etc., can solve the problem of inaccurate matching results and achieve strong semantics and good matching results

Inactive Publication Date: 2012-08-15
EAST CHINA NORMAL UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Most of the actual systems use a combination of multiple similarity methods, because the matching result of a single standard is not accurate enough

Method used

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  • Method and system for controlling multi-level ontology matching based on semantemes
  • Method and system for controlling multi-level ontology matching based on semantemes
  • Method and system for controlling multi-level ontology matching based on semantemes

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Embodiment Construction

[0033] figure 1 A schematic diagram showing an example of a first body according to a specific embodiment of the present invention. Specifically, those skilled in the art understand that in this specific implementation, the first ontology is divided into three levels, wherein the first level of the first ontology is "Electronics", and the second level under it includes "Personal_computer " and "Photo_and_Cameras", the relationship between the two layers is the relationship of "Is_a", that is, the relationship of the second layer "Is_a" to the first layer. Further, the third layer corresponding to the "Personal_computer" includes "Microprocessors" and "Accessories", and the relationship between the third layer and the second layer is "Part_of". Similarly, the third layer corresponding to the "Photo_and_Cameras" includes "Name", "Quantity" and "Price", and the relationship between the third layer and the second layer is "Attitude_of". based on figure 1 , those skilled in the ...

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Abstract

The invention provides a novel semantic ontology matching method, and in the method, the structure features and semantic features of ontologies are taken into overall consideration, and an ontology to be matched is measured from three aspects. The method comprises the following steps: firstly, carrying out preprocessing including operations such as word segmentation, classification or deletion and the like on an ontology 1 and an ontology 2; then, respectively calculating the element similarity, attribute based structure similarity and relation based structure similarity of the two ontologies by virtue of a semantic dictionary based semantic similarity algorithm; and finally, carrying out weighted averaging on the three similarities, and giving a matching result according to a preset threshold value. The method has stronger semantic properties, because in the method, the semantic features of concepts in the ontology and the semantic features in the structure of the ontology are taken into consideration, and a semantic dictionary based semantic similarity measuring method is used in the processes of calculating the three similarities, the semantic features of the ontology to be matched can be exploited well, therefore, the results of ontology matching implemented by using the method are extremely good.

Description

technical field [0001] The invention relates to the technical field of natural language processing (NLP), specifically a method for performing semantic measurement on two ontologies from three levels based on a semantic dictionary. More specifically, the present invention relates to a control method and a corresponding control system for semantically-based multi-level matching of two ontologies in information retrieval, machine translation, and knowledge management system applications. Background technique [0002] As the core technology of Semantic Web, ontology has been widely used. However, due to the distributed nature of ontology development, different users create different ontologies for the same field, resulting in the emergence of many different ontologies in one field. These ontologies are heterogeneous, and they often cannot communicate with each other, nor can users understand each other. In order to use and reuse ontology more effectively, to complete the task...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27
Inventor 吕钊梁璐曹艳娇李琴
Owner EAST CHINA NORMAL UNIV
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