Abstract
To increase the precision and recall values of retrieved documents while using a voice information retrieval system for documents (VIRD), is to develop a model that best captures users’ objectives in query speech. An approach to achieving this objective is by establishing conceptual relationship between keywords in user’s query before search. Here, the research proposed a Universal Fuzzy Concept Network Language (UFCNL) that represents’ the users speech with a declarative formal language, and establishes an associated degree of relationship between conceptual relations (auxiliaries and determiners) and concepts. The essence is to produce new sets of conceptual queries with potentials to retrieve documents which are more relevant to the information seeker unlike the ordinary keyword extraction by spoken term detection in voice based retrieval or the conventional text based retrieval system.
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Onifade, O.F.W., Ibitoye, A.O.J. (2016). Conceptual Voice Based Querying Support Model for Relevant Document Retrieval. In: Snášel, V., Abraham, A., Krömer, P., Pant, M., Muda, A. (eds) Innovations in Bio-Inspired Computing and Applications. Advances in Intelligent Systems and Computing, vol 424. Springer, Cham. https://doi.org/10.1007/978-3-319-28031-8_43
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DOI: https://doi.org/10.1007/978-3-319-28031-8_43
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