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Title |
The Role of MultiWord Terminology in Knowledge Management |
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Author(s) |
James Dowdall (1), Will Lowe (2), Jeremy Ellman (3), Fabio Rinaldi(1), Michael Hess(1) (1) Institute of Computational Linguistics, University of Zurich, Switzerland {dowdall, hess, rinaldi}@cl.unizh.ch; (2) WordMap Ltd., Bath, UK, will.lowe@wordmap.com; (3) School of Informatics, Northumbria University, UK, jeremy.ellman@northumbria.ac.uk |
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Session |
O24-TW |
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Abstract |
One of the major obstacles for knowledge management remains MultiWord Terminology (MWT). This paper explores the difficulties that arise and describes real world solutions implemented as part of the Parmenides project. Parmenides is being built as an integrated knowledge management package that combines information, MWT and ontology extraction methods in a semi-automated framework. The focus of this paper is on eliciting ontological fragments based on dedicated MWT processing. |
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Keyword(s) |
Knowledge Managenemt, MultiWord Terminology, Ontology |
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Language(s) |
English |
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Full Paper |