Ontology-based faceted semantic search with automatic sense disambiguation for bioenergy domain
International Journal of Big Data Intelligence
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. The main focus of Craig's career has been research, development and the application of design engineering automation and the development of Knowledge Based Engineering solutions, enabling companies to rapidly respond to design engineering changes and explore multiple solutions with consideration to all life cycle phases. Dr Pathmeswaran Raju is a Reader in Knowledge Modelling and Engineering at Birmingham City University. His current research interests include knowledge engineering for design, engineering and manufacturing disciplines for the development of knowledge-based engineering systems. He was involved with developing knowledge based decision support system for the Energetic Algae (EnAlgae) INTERREG IVB NWE Programme, and developing requirements and knowledge models for Platform Independent Knowledge Model (PIKM) project as part of Technology Strategy Board (TSB)/Rolls-Royce funded Strategic Investment in Low-carbon Engine Technology 2 (SILOET2) programme and EU Clean Sky initiative. Dr Lynsey Melville is a Reader in Bioenergy and Director of the Centre for Low Carbon Research. She is currently leading the Bioenergy research group whose focus is on accelerating the adoption of environmentally sustainable and commercially viable energy from biomass. This involves supervision of both post doctoral and PhD researchers. Lynsey was principle investigator on two large EU funded programmes -EnAlgae and BioenNW. Working closely with the knowledge based engineering group and a broad range of stakeholders. The aim of this work was to capture data and information from across the whole bioenergy delivery chain. One of the outcomes of this work was a number of innovative and adaptive decision support systems, which enable stakeholders to identify optimal sites, partners and markets and develop project plans which can be tailored to regional conditions.