WordNet Powered Faceted Semantic Search With Automatic Sense Disambiguation For Bioenergy Domain

Farazi, Mohammad Feroz and Chapman, C. and Raju, P. and Melville, L. (2016) WordNet Powered Faceted Semantic Search With Automatic Sense Disambiguation For Bioenergy Domain. In: Proceedings of IEEE Tenth International Conference on Semantic Computing. IEEE.

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Abstract

WordNet is a lexicon widely known and used as an ontological resource hosting comparatively large collection of semantically interconnected words. Use of such resources produces meaningful results and improves users’ search experience through the increased precision and recall. This paper
presents our facet-enabled WordNet powered semantic search work done in the context of the bioenergy domain. The main hurdle to achieving the expected result was sense disambiguation further complicated by the occasional fine-grained distinction of meanings of the terms in WordNet. To overcome this issue, a novel sense disambiguation approach based on automatically built domain specific ontologies, WordNet synset hierarchy and term (or word) sense ranks is proposed.

Item Type: Book Section
Uncontrolled Keywords: semantic search; faceted search; faceted semantic search; WordNet; ontology; bioenergy
Subjects: G400 Computer Science
Divisions: Faculty of Computing, Engineering and the Built Environment
Faculty of Computing, Engineering and the Built Environment > School of Engineering and the Built Environment
Faculty of Computing, Engineering and the Built Environment > School of Engineering and the Built Environment > Advanced Design Engineering
UoA Collections > UoA15: General Engineering
Depositing User: $ Ian McDonald
Date Deposited: 13 Apr 2017 10:36
Last Modified: 13 Apr 2017 10:36
URI: http://www.open-access.bcu.ac.uk/id/eprint/4304

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