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Novel method for solving lexical semantic similarity between ontology concepts

A technology of vocabulary semantics and similarity, which is applied in the field of semantic network, can solve the problem of not being able to realize the detailed subdivision of concept semantic similarity, and achieve the effect of improving accuracy, standardizing data processing, and improving accuracy

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

The traditional ontology-based conceptual 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 shared information between two concepts, which has high theoretical rigor, but can only be roughly Quantifying the semantic similarity between concepts cannot realize the detailed subdivision of the semantic similarity of concepts; another method is a distance-based method, which uses the length of the path between concepts as a measure of the semantic distance. The semantic distance between concepts is used to calculate the semantic similarity of concepts. This method is simple and intuitive, but it ignores many other factors that affect the semantic distance

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  • Novel method for solving lexical semantic similarity between ontology concepts
  • Novel method for solving lexical semantic similarity between ontology concepts
  • Novel method for solving lexical semantic similarity between ontology concepts

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Embodiment Construction

[0021] In order to solve the problem of obtaining similar terms of each term more accurately and to consider influencing factors such as word form, ontology concept, and depth of common ancestor of ontology concept, combined with figure 1 The present invention has been described in detail, and its specific implementation steps are as follows:

[0022] Step 1: Initialize the statistical method module.

[0023] Step 2: the word to be compared (c 1 , c 2 ) into the initial statistical method module.

[0024] Step 3: the word to be compared (c 1 , c 2 ) is mapped to the ontology concept module.

[0025] Step 4: Select the words to be compared respectively (c 1 , c 2 ) corresponds to the deepest ontology concept g 1 , g 2 , its specific description is as follows:

[0026] The word to be compared (c 1 , c 2 ) and the concept is a one-to-many relationship, when the depth of the selected concept is deeper, the word to be compared (c 1 , c 2 ) is more specific and more co...

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Abstract

The invention provides a novel method for solving the lexical semantic similarity between ontology concepts. The method comprises the steps of calculating the similarity between the ontology concepts, with the maximum depths, of to-be-compared words input into a statistical method module; calculating the word form similarity between the two to-be-compared words, calculating the influence of the most recent common ancestor depth of the two to-be-compared words on the similarity between the two to-be-compared words and constructing an impact factor function; and finally calculating the similarity between the two to-be-compared words. The novel method is closer to an empirical value of an expert in quantitative concept; the factors of the distance between the ontology concepts, with corresponding maximum depths, of the to-be-compared words, the depths, the density and the like are more fully and comprehensively considered, so that the accuracy of the semantic similarity result is greatly improved; the ontology reasoning effect is better improved; better improvement of the accuracy of the word form similarity result and the semantic similarity result between the words is considered; data processing of various influence factors is more standard; and the novel method accords with the practical application effect.

Description

technical field [0001] The invention relates to the technical field of semantic network, in particular to a new method for solving semantic similarity of ontology concept vocabulary. Background technique [0002] At present, many scholars are paying attention to the calculation method of ontology concept similarity, and the similarity problem has been deeply researched and analyzed in many disciplines such as philosophy and semantics. The traditional ontology-based conceptual 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 be roughly Quantifying the semantic similarity between concepts cannot realize the detailed subdivision of the semantic similarity of concepts; another method is a distance-based method, which uses the length of the path between concepts as a measure ...

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Application Information

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IPC IPC(8): G06F17/27
CPCG06F40/30
Inventor 金平艳
Owner SICHUAN YONGLIAN INFORMATION TECH CO LTD
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