Abstract
Knowledge Based Question Answering System (KBQA) aims to provide suitable answers for the queries posted by users using ontology. Ontology is supposed to refine the search with semantics and confer the best result to the user. Mapping of Question and Answers are mandatory in every Question Answering System . This research work proposed the framework for KBQA Mapping system, which helps in retrieving precise information from a large collection of documents. The KBQA system consists of three phases such as Question Preprocessing , Answer Evaluation and Concept Mapping of question with their answer . The question posted by the user will be evaluated to get the answer and the answer will be taken from the pool of KBQA. This research paper explores the novel approach to the mapping of Question and most relevant Answers in KBQA System.
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References
Thushari Atapattu, Katrina Falkner, and Nickolas Falkner “Educational Question Answering Motivated by Question-Specific Concept Maps” Springer International Publishing Switzerland, pp. 13–22, 2015.
Rupali R. Khune “Mapping of Semantic Web Ontology in User Query System” International Journal of Computer Applications (0975–8887) Volume 111 – No 14, February 2015.
G. Suresh Kumar and G. Zayaraj “Concept relation extraction using Naïve Bayes classifier for ontology-based question answering systems” Journal of King Saud University – Computer and Information Sciences, pp. 13–24, 2014.
Dang Truong Son, Dao Tien Dung “Apply A Mapping Question Approach In Building The Question Answering System For Vietnamese Language” Journal of Engineering Technology and Education and The 2012 International Conference on Green Technology and Sustainable Development (GTSD2012), pp. 380–386, 2012.
Abdullah M. Moussa and Rehab F. Abdel-Kader “QASYO: A Question Answering System for YAGO Ontology” International Journal of Database Theory and Application Vol. 4, No. 2, June, 2011.
A. H. Hafizullah, and A. Aniza, “The Spiral OWL Model? Towards Spiral Knowledge Engineering”, World Knowledge Engineering, World Academy of Science, Engineering and Technology Vol: 38 0000-00-00, 2010.
Saravanan, Ravindran & Raman. “Improving legal information retrieval using an ontological framework.” Arti. Intell. Law, 2009, 17(2), 101–24.
Chi & Chen. “Ontology and semantic rules in document dispatching”, The Electronic Library, 2009, 27(4), 694–707.
Z. Li, V. Raskin, and K. Ramani, “A Methodology of Engineering Ontology Development for Information Retrieval”, International Conference on Engineering Design, ICED’07. Paris, France. 2007.
Canas, A.J., et al.: “CmapTools: a knowledge modeling and sharing environment”, First International Conference on Concept Mapping, Pamplona, 2004.
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Mervin, R., Jaya, A. (2018). A Novel Approach to Mapping for KBQA System Using Ontology. In: Shetty, N., Patnaik, L., Prasad, N., Nalini, N. (eds) Emerging Research in Computing, Information, Communication and Applications. ERCICA 2016. Springer, Singapore. https://doi.org/10.1007/978-981-10-4741-1_9
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DOI: https://doi.org/10.1007/978-981-10-4741-1_9
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