Ontology-based faceted semantic search with automatic sense disambiguation for bioenergy domain Online publication date: Fri, 29-Sep-2017
by Feroz Farazi; Craig Chapman; Pathmeswaran Raju; Lynsey Melville
International Journal of Big Data Intelligence (IJBDI), Vol. 5, No. 1/2, 2018
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.
Online publication date: Fri, 29-Sep-2017
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