Large-scale ontology mapping method for Chinese languages

Abstract

The invention provides a mapping method for large-scale Chinese ontology. The method comprises the following steps: initializing a correlation degree computing method on the basis of the concept integrating Chinese thesaurus and an edit distance similarity algorithm; compressing large-scale ontology mapping scale on the basis of a pseudo-nuclear-force field potential function integrating concept similarity and dissimilarity improved by initial correlation degree; performing similarity measurement on complex concepts in the Chinese ontology through introducing a global sequence alignment algorithm. Chinese works have the phenomena of polysemy and sensitive word order, and the computing cost of large-scale ontology mapping is high, and according to the method, firstly, the existing pseudo-nuclear-force field potential function is improved, so that the measurement of similarity among concepts and the scale compression of the ontology to be mapped are more reasonable. Secondly, a global sequence alignment technology is adopted to map complex Chinese concepts, further defects of a traditional Chinese ontology mapping system are overcome, and finally the mapping efficiency of the system is improved, and the precision ratio and the recall ratio are increased.

Description

technical field [0001] The invention relates to the field of Chinese ontology mapping. Background technique [0002] The vision of the Semantic Web is to build a "Web of Data" (Web of Data) to enable machines to understand semantic information on the Web. Ontology, as the core element of Semantic Web, is a formalized and standardized description to describe shared concepts in a specific field, and is the basis for realizing network knowledge sharing and semantic interoperability. At present, due to the heterogeneity among different ontologies, it becomes difficult to reuse and share between ontologies. [0003] The task of ontology alignment (Ontology Alignment) is to discover the conceptual semantic association between heterogeneous ontologies. However, due to cultural and background reasons, there is still a lack of a mature ontology mapping system for Chinese language description. With the development of the Semantic Web, large-scale ontology and knowledge bases descri...

AI Technical Summary

Problems solved by technology

[0013] Therefore, there are still few Chinese large-scale ontology published on the web, and there is a large heterogeneity, and the existing Chinese ontology mapping system is inefficient and unavailable when facing large-scale ontology mapping tasks. high

At the same time, there is still a lack of related systems for Chinese language descriptions that are suitable for large-scale ontology mapping tasks in the semantic web environment

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