Book Chapter or Conference Paper Title

Semantic annotation using ontology and Bayesian networks

Faculty / School

Faculty of Computer Sciences (FCS)

Department

Department of Computer Science

Was this content written or created while at IBA?

Yes

Document Type

Conference Paper

Publication Date

6-2010

Conference Name

Canadian Conference on Artificial Intelligence

Conference Location

Ottawa, ON, Canada

Conference Dates

31 May - 2 June 2010

ISBN/ISSN

77953741581 (Scopus)

Volume

6085

First Page

416

Last Page

418

Publisher

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.

Citation/Publisher Attribution

Rajput, Q. (2010, May). Semantic annotation using ontology and bayesian networks. In Canadian Conference on Artificial Intelligence (pp. 416-418). Springer, Berlin, Heidelberg.

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