A method for semantics-based conceptual expansion of ontology

Authors:
Liping Zhou;Dezheng Zhang;Xin Chen;Chengcui Zhang
Affiliations:
University of Science and Technology, Beijing, China;University of Science and Technology, Beijing, China;University of Alabama at Birmingham;University of Alabama at Birmingham
Venue:
Proceedings of the 2008 ACM symposium on Applied computing
Year:
2008

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Abstract

For the past few years, automatic Ontology construction and expansion is one of the most important research subjects in the field of knowledge engineering. Compared with the traditional Term Frequency method, we propose a semantics-based method to extract concepts from a large corpus of text documents and expand the concepts of the known Ontology based on the semantic relations between two terms. The proposed method explores how to identify the candidate concepts, and how to give suggestions to knowledge engineers on where the concepts should be inserted in a given Ontology. The effectiveness of the proposed approach is demonstrated by experiments on a Traditional Chinese Medicine text corpus.