Ontology Based Semantic Relation Verification for TCM Semantic Grid

Abstract

Traditional Chinese Medicine (TCM) Semantic Grid is an application of Semantic Grid technique in TCM domain. It comprises TCM ontology and TCM Databases as data resources and Dart Search, Dart Query etc. as TCM application. This paper reports an ontology engineering component of the TCM Semantic Grid. Although ontology engineering has gained significant progress, ontology construction still mainly depends on manual work and tends to be mistaken prone. In this paper, we introduce a semantic relation verification method based on both domain ontology and domain publications. A modified vector space model is used to extract semantic relations from domain publications, which is particularly useful when the semantic relation cannot be extracted directly. Association rule learning method is used to distinguish significant relations from trivial ones. Further verification method is used to give user recommendations of relation types. We use Traditional Chinese Medicine Language System, domain ontology for Traditional Chinese Medicine, and relevant publications to validate our approach. But our method is not limited to this field. In fact, any data source that can be extracted into relevant instance pairs is applicable.