Abstract
To address 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 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 collections of policy documents and is a considerable reference for the construction of ontology in other domains.
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Liu, G., Sun, L., Fu, W. (2019). A Knowledge Mining and Ontology Constructing Technology Oriented on Massive Social Security Policy Documents. In: Hwang, S., Tan, S., Bien, F. (eds) Proceedings of the Sixth International Conference on Green and Human Information Technology. ICGHIT 2018. Lecture Notes in Electrical Engineering, vol 502. Springer, Singapore. https://doi.org/10.1007/978-981-13-0311-1_15
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DOI: https://doi.org/10.1007/978-981-13-0311-1_15
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