Semantic annotation using ontology and bayesian networks

Authors:
Quratulain Rajput
Affiliations:
Faculty of Computer Science, Institute of Business Administration, Karachi, Pakistan
Venue:
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
Year:
2010

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Abstract

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.