出版社：Know-Center, Graz in cooperation with IICM, Graz University of Technology
摘要：This paper describes a system to semi-automatically extend and refine ontologies
by mining textual data from the Web sites of international online media.
Expanding a seed ontology creates a semantic network through co-occurrence
analysis, trigger phrase analysis, and disambiguation based on the WordNet
lexical dictionary. Spreading activation then processes this semantic network to
find the most probable candidates for inclusion in an extended ontology.
Approaches to identifying hierarchical relationships such as subsumption, head
noun analysis and WordNet consultation are used to confirm and classify the
found relationships. Using a seed ontology on "climate change" as an example,
this paper demonstrates how spreading activation improves the result by
naturally integrating the mentioned methods
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