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

Mohammad Feroz Farazi, C. Chapman, P. Raju, L. Melville

    Research output: Contribution to journalArticlepeer-review


    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.
    Original languageEnglish
    JournalInternational Journal of Big Data Intelligence
    Issue number1/2
    Publication statusPublished (VoR) - 29 Sept 2017


    • semantic search; faceted search; faceted semantic search; knowledge base; WordNet; ontology; bioenergy; semantics; domain; domain ontologies.


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