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Concept Forest: A New Ontology-assisted Text Document Similarity Measurement Method
2007
IEEE/WIC/ACM International Conference on Web Intelligence (WI'07)
Although using ontologies to assist information retrieval and text document processing has recently attracted more and more attention, existing ontologybased approaches have not shown advantages over the traditional keywords-based Latent Semantic Indexing (LSI) method. This paper proposes an algorithm to extract a concept forest (CF) from a document with the assistance of a natural language ontology, the WordNet lexical database. Using concept forests to represent the semantics of text
doi:10.1109/wi.2007.11
dblp:conf/webi/WangT07
fatcat:byhme53t4fej5gejke6jmm5cje