Book Chapter or Conference Paper Title
Semantic annotation using ontology and Bayesian networks
Faculty / School
Faculty of Computer Sciences (FCS)
Department of Computer Science
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Canadian Conference on Artificial Intelligence
Ottawa, ON, Canada
31 May - 2 June 2010
Springer, Berlin, Heidelberg
Abstract / Description
The research presents a semantic annotation framework, named BNOSA. The framework uses ontology to conceptualize a problem domain and uses Bayesian networks to resolve conflicts and to predict missing data. Experiments have been conducted to analyze the performance of the presented semantic annotation framework on different problem domains. The sets of corpuses used in the experiment belong to selling-purchasing websites where product information is entered by ordinary web users.
Rajput, Q. (2010, May). Semantic annotation using ontology and bayesian networks. In Canadian Conference on Artificial Intelligence (pp. 416-418). Springer, Berlin, Heidelberg.
Rajput, Q. (2010). Semantic annotation using ontology and Bayesian networks., 6085, 416-418. https://doi.org/10.1007/978-3-642-13059-5_61