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An Ontology-based Computation Method for Density Adaptive Conceptual Semantic Similarity

A technology of semantic similarity and similarity calculation, applied in computing, semantic analysis, semantic tool creation, etc.

Inactive Publication Date: 2020-10-23
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

[0006] The purpose of the present invention is to solve the problem that the introduction of regional density through a smoothing parameter in the edge-based method is a method based on empirical values, and combine the edge-based method with information theory to propose an ontology-based density adaptive Conceptual semantic similarity calculation method, so that it does not require additional parameters and can adapt to the influence of different densities on edges

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  • An Ontology-based Computation Method for Density Adaptive Conceptual Semantic Similarity
  • An Ontology-based Computation Method for Density Adaptive Conceptual Semantic Similarity
  • An Ontology-based Computation Method for Density Adaptive Conceptual Semantic Similarity

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Embodiment 1

[0058] figure 1 It is a flowchart of a method for calculating the semantic similarity of density-adaptive concepts based on ontology of the present invention, figure 2 It is a schematic structural diagram of an ontology-based density adaptive concept semantic similarity calculation method of the present invention. As can be seen from the figure, this method includes the following steps:

[0059] Step A: Input the concepts bird and cock, query the ontology WordNet3.0, and get the corresponding meaning items of bird and cock respectively;

[0060] The meaning of the concept bird is: {bird},{bird,fowl},{dame,doll,wench,skirt,chick,bird},{boo,hoot,Bronx_cheer,hiss,raspberry,razzing,razz,snort,bird}, {shuttlecock,bird,birdie,shuttle};

[0061] The meaning of the concept cock is: {cock,prick,dick,shaft,pecker,peter,tool,putz},{stopcock,cock,turncock},{hammer,cock},{cock,rooster},{cock};

[0062] Among them, in WordNet3.0, each node is represented by a set, and the sense items in the same...

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Abstract

The invention relates to a density self-adaption conceptual semantic similarity calculation method based on ontology, and belongs to the technical field of natural language understanding in the artificial intelligence field. The semantic similarity calculation method includes the steps that an edge weight function is derived by combining an edge statistic model and information theories, then the depths of concepts and shortest path weights between the concepts are expressed, finally the depths and the shortest path weights are applied to a traditional method based on edges, and the conceptualsemantic similarity is calculated. The model has the performance similar to that of an existing method which has the best effect and is based on information content, additional parameters are not needed, the model can self-adapt to the influences of different densities on the edges, good universality is achieved, time complexity has obvious advantages compared with the method based on the information content, and the conceptual semantic similarity method is high in performance and efficiency, and has better application prospects.

Description

Technical field [0001] The invention relates to a conceptual semantic similarity calculation method, in particular to an ontology-based density adaptive conceptual semantic similarity calculation method, which belongs to the natural language understanding technical field in the artificial intelligence field. Background technique [0002] Concept semantic similarity calculation is a basic research content of natural language processing, and it has a wide range of applications in intelligent retrieval, word sense disambiguation, machine learning, spelling correction, machine translation, and information extraction. At present, the research strategy of concept semantic similarity calculation is roughly divided into three categories: one is to use a large-scale corpus for statistics, which mainly uses the probability distribution of context information as the reference basis for concept semantic similarity, which requires a covering a certain field A corpus of all information, obviou...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/36G06F16/33G06F40/30G06F40/247
CPCG06F16/3344G06F16/367G06F40/247G06F40/30
Inventor 李飞廖乐健何景
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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