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.
['Feroz Farazi', 'Craig Chapman', 'Pathmeswaran Raju', 'Lynsey Melville']
WordNet Powered Faceted Semantic Search with Automatic Sense Disambiguation for Bioenergy Domain