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
Keywords
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.
DOI
https://doi.org/10.1007/978-3-642-13059-5_61
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.
Recommended Citation
Rajput, Q. (2010). Semantic annotation using ontology and Bayesian networks., 6085, 416-418. https://doi.org/10.1007/978-3-642-13059-5_61
COinS
