Domain ontology concept automatic-acquisition method based on Bootstrapping technology

Abstract

In order to realize the automatic acquisition of domain concepts, the invention provides a domain ontology concept automatic-acquisition method based on a Bootstrapping technology. The method comprises the following steps of: first, in order to solve the problem that ontology concept in a composite form cannot be extracted, extracting compound words based on mutual information and left and right information entropies; then extracting candidate domain concepts based on the decision condition of the candidate concepts with co-occurring sentence frequency; evaluating the candidate concepts by applying a method for combining M evaluation with T evaluation, extracting the domain concept conforming to evaluation criterions, and choosing the domain concept with a higher evaluating value as a key concept for a new round of learning process; in order to avoid missing the domain concepts with low frequency of occurrence and similar meanings, introducing a semantic factor, and extracting the domain concepts with similar meanings by calculating semantic similarity; and finally, providing a detailed algorithm realization flow.

Description

technical field [0001] The invention belongs to a method for automatically acquiring domain concepts, in particular to a method for automatically acquiring domain ontology concepts based on Bootstrapping technology. This method improves the existing methods, can extract compound domain concepts and domain concepts with similar semantics, and improves the recall rate and accuracy rate of automatic acquisition. Background technique [0002] Ontology is a knowledge representation method used to describe concepts and the relationship between concepts. Since it was proposed, it has attracted extensive attention from many researchers at home and abroad. It has been applied to many fields such as semantic Web, intelligent information retrieval, and information integration. , the construction of domain ontology is the basis of these studies. However, many ontologies currently rely heavily on domain experts to build them. This method of building ontologies that relies entirely on ma...

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Problems solved by technology

[0003] At present, the concept acquisition mainly adopts methods based on linguistics and statistics, but when using linguistic methods, it is difficult to establish and maintain rules and templates, and the portability is poor; most methods based on statistics do not consider the extraction of compound words, so Domain concepts in the form of compound words are often unable to be extracted. In addition, statistical methods generally ignore semantic factors, resulting in some domain concepts with similar semantics being missed due to their low frequency of occurrence.

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