An ontology constructing technology oriented on massive social security policy documents. (May 2020)

• Record Type: Journal Article
• Authors: Liu, Gang; Zhang, Hanwen
• Is Part Of: Cognitive systems research. Volume 60(2020)
• Page Start: 97
• Page End: 105
• Publication Date: 2020-05
• Subjects: Ontology expansion -- Text fragment extraction -- Semi-automatic construction; Cognition -- Periodicals; Cognitive engineering (System design) -- Periodicals; Artificial intelligence -- Periodicals; 153.05
• DOI: 10.1016/j.cogsys.2019.09.005
• Languages: English
• ISSNs: 1389-0417

Abstract

Abstract: To solve the problem brought from enormous policy documents and complex management in the social security domain, the article uses ontology as the way of representing and storing knowledge. The article first constructs the framework of ontology through manual work so that it can ensure the relative accuracy of the ontology structure. Then it achieves the automatic ontology expansion based on the inclusion relationship of property sets or operational object sets. The article uses a semi-automatic method that extracts hierarchical concepts and non-hierarchical concepts from domain thesaurus by using the method combining statistics with rules to construct the ontology. Besides constructing the ontology, the article proposes the concepts of concept phrase vector model and high frequency characteristics phrase vector model. The experiment result indicates that ontology semi-automatic construction process can help experts to construct the social security ontology effectively oriented on massive policy documents and is a considerable reference for the construction of ontology in other domains.