Ontology-based faceted semantic search with automatic sense disambiguation for bioenergy domain

Farazi, Mohammad Feroz and Chapman, C. and Raju, P. and Melville, L. (2017) Ontology-based faceted semantic search with automatic sense disambiguation for bioenergy domain. International Journal of Big Data Intelligence. ISSN 2053-1389 (In Press)

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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, this paper proposes a sense disambiguation methodology that uses bioenergy domain related ontologies (extracted from WordNet automatically), WordNet concept hierarchy and term sense rank.

Item Type: Article
Uncontrolled Keywords: semantic search; faceted search; faceted semantic search; knowledge base; WordNet; ontology; bioenergy; semantics; domain; domain ontologies.
Subjects: G400 Computer Science
Divisions: Faculty of Computing, Engineering and the Built Environment
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology > Enterprise Systems
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: 12 Apr 2017 14:57
Last Modified: 12 Oct 2017 09:53
URI: http://www.open-access.bcu.ac.uk/id/eprint/4299

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