Semi-automatic Ontology Extension Using Text Mining
نویسندگان
چکیده
This paper addresses the process of the ontology extension for a selected domain of interest which is defined by keywords and possibly a glossary of relevant terms. A new methodology for semi-automatic ontology extension, aggregating the elements of text mining and user-dialog approaches for ontology extension, is proposed and evaluated. We conduct a set of ranking, tagging and illustrative question answering experiments using Cyc ontology and business news collection. The experiments show that the precision of business news tagging increases from 61% to 87% and the corresponded recall increases from 46% to 81% after the ontology extension with concepts extracted from
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