Ontology concept-based lexical semantic similarity solving method

A technology of lexical semantics and similarity, applied in the field of semantic network, it can solve the problems of misunderstanding, neglect, and inapplicability of massive data, and achieve the effect of improving the effect and improving the accuracy.

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

Although many applications today can cover up this problem to some extent due to the use of massive data, in many cases, the method of massive data is not

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  • Ontology concept-based lexical semantic similarity solving method
  • Ontology concept-based lexical semantic similarity solving method
  • Ontology concept-based lexical semantic similarity solving method

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Embodiment Construction

[0017] To solve the problem of how to obtain similar terms for each term, combine figure 1 The present invention has been described in detail, and its specific implementation steps are as follows:

[0018] Step 1: Initialize the statistical method module.

[0019] Step 2: the word to be compared (c 1 , c 2 ) into the initial statistical method module.

[0020] Step 3: the word to be compared (c 1 , c 2 ) is mapped to the ontology concept module.

[0021] 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:

[0022] The word to be compared C∈(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∈(c 1 ,c 2 ) is more specific and more convenient to calculate the words to be compared C∈(c 1 , c 2 ) semantic similarity. This depth is easy to find in the statistical modules, for ...

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Abstract

The invention provides an ontology concept-based lexical semantic similarity solving method, which comprises the steps of mapping to-be-compared words input in a statistical method module into an ontology concept; selecting ontology concepts, with corresponding maximum depths, of the to-be-compared words from an ontology concept module, calculating the distance between the ontology concepts and calculating the most recent common ancestor depth; and finally calculating the similarity between the two to-be-compared words. The ontology concept-based lexical semantic similarity solving method is closer to an empirical value of an expert in quantitative concept; the factors of the distance between the ontology concepts, with the corresponding maximum depths, of the to-be-compared words (c1, c2), the depths and the like are more fully and comprehensively considered, so that the accuracy of the semantic similarity result is greatly improved; and the ontology reasoning effect is better improved.

Description

technical field [0001] The invention relates to the technical field of semantic network, in particular to a method for solving lexical semantic similarity based on an ontology concept. 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. Predecessors mainly consider the similarity of concepts from the aspects of concept names, attributes, and structures. Previously, the calculation of concept similarity was divided into two layers: "initial similarity" and "similarity reflected by non-hypernym relations". The former is mainly calculated by using the distance between concepts, and the latter is calculated by the predecessors On the basis of , it is calculated through the non-hypernym relationship of the concept; and then the actual similarity of the concept in the domain onto...

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/334G06F16/367
Inventor 金平艳
Owner SICHUAN YONGLIAN INFORMATION TECH CO LTD
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