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Improved computing method for resolving ontology concept semantic similarity based on semantic distance

A technology of semantic similarity and semantic distance, which is applied in the field of semantic network, can solve the problems of incomplete semantic distinction, etc., and achieve the effect of improving the effect, widely applying research value, and high accuracy

Inactive Publication Date: 2017-05-03
SICHUAN YONGLIAN INFORMATION TECH CO LTD
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Problems solved by technology

[0003] Aiming at the shortcomings of the information theory method, semantic distance is introduced to overcome the problem of the semantic distinction of the information theory method. In the semantic distance-based method, the semantic similarity of concepts is not only related to the semantic distance, but also affected by the hierarchical depth of the concept in the ontology tree, In order to improve the accuracy of solving semantic similarity and solve various multiple inheritance problems at the same time, the present invention provides an improved calculation method for solving semantic similarity of ontology concepts based on semantic distance

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  • Improved computing method for resolving ontology concept semantic similarity based on semantic distance
  • Improved computing method for resolving ontology concept semantic similarity based on semantic distance
  • Improved computing method for resolving ontology concept semantic similarity based on semantic distance

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Embodiment Construction

[0021] In view of the above problems, the present invention proposes an improved calculation method for solving ontology concept semantic similarity based on semantic distance.

[0022] In order to solve the defects of the information theory method, the semantic distance is introduced to overcome the problem of the semantic distinction of the information theory method. In the semantic distance-based method, the semantic similarity of concepts is not only related to the semantic distance, but also affected by the hierarchical depth of the concept in the ontology tree. , density influence, in order to improve the accuracy of solving semantic similarity and solve various multiple inheritance problems at the same time, combined with figure 1 The present invention has been described in detail, and its specific implementation steps are as follows:

[0023] Step 1: Initialize the ontology concept domain module.

[0024] Step 2: Calculate the two ontology concepts (g 1 , g 2 ) betw...

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Abstract

The invention discloses an improved computing method for resolving ontology concept semantic similarity based on semantic distance. The method comprises the following steps: computing the semantic distance d1 between the ontology concepts (g1, g2) through an initialized ontology concept module and computing a distance factor d2 based on the semantic distance so as to construct the semantic similarity sim1(g1, g2); constructing the semantic similarity sim2(g1, g2) according to the corresponding depth and density of two ontology concept nodes; and finally obtaining the concept semantic similarity sim2(g1, g2). Compared with the traditional method for resolving the semantic similarity based on the information theory method and the semantic distance method, the accuracy of the semantic similarity resolved by use of the method disclosed by the invention is higher; and the semantic distance computation has a certain theory preciseness; the obtained result is more accurate by integrating the information theory and the semantic distance method; the multi-inheritance problem of the node in the ontology tree is solved; this method for computing the semantic similarity is more close to the experience point of an expert on the quantization concept; the ontology inference effect is better improved, and more extensive application research value is realized.

Description

technical field [0001] The invention relates to the technical field of semantic network, in particular to an improved calculation method for solving ontology concept semantic similarity based on semantic distance. Background technique [0002] With the wide application of ontology in information retrieval, artificial intelligence and other fields, ontology-oriented conceptual similarity calculation has become a hot spot in ontology research. At present, the research on concept similarity in domain ontology mainly uses the hyponymy relationship of concepts to calculate, but this does not fully reflect the semantic information of concepts. Traditional ontology-based concept semantic similarity calculation methods are mainly divided into two types: one is based on information theory, which uses information theory to calculate the degree of information sharing between two concepts, which has high theoretical rigor, but can only Roughly quantifying the semantic similarity betwee...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27
CPCG06F40/30
Inventor 金平艳
Owner SICHUAN YONGLIAN INFORMATION TECH CO LTD
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