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2008

Ontology generation for large email collections

11 years 6 months ago
Ontology generation for large email collections
This paper presents a new approach to identifying concepts expressed in a collection of email messages, and organizing them into an ontology or taxonomy for browsing. It incorporates techniques from text mining, information retrieval, natural language processing and machine learning to generate a concept ontology. Nominal N-gram mining is used to identify candidate concepts. Wordnet and surface text pattern matching are used to identify relationships among the concepts. A supervised clustering algorithm is then used to further cluster the concepts. The experiments show that the approach is effective. Categories and Subject Descriptors H.4 [Information Systems Applications]: Miscellaneous Keywords concept ontology, supervised clustering, eRulemaking
Hui Yang, Jamie Callan
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where DGO
Authors Hui Yang, Jamie Callan
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