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.
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References
Michelson, M., Knoblock, C.A.: Semantic annotation of unstructured and ungrammatical text. In: Proceedings of 19th International Joint Conference on Artificial Intelligence, pp. 1091–1098 (2005)
Ding, Y., Embley, D., Liddle, S.: Automatic Creation and Simplified Querying of Semantic Web Content: An Approach Based on Information-Extraction Ontologies. In: Mizoguchi, R., Shi, Z.-Z., Giunchiglia, F. (eds.) ASWC 2006. LNCS, vol. 4185, pp. 400–414. Springer, Heidelberg (2006)
Yildiz, B., Miksch, S.: OntoX - a method for ontology-driven information extraction. In: Gervasi, O., Gavrilova, M.L. (eds.) ICCSA 2007, Part III. LNCS, vol. 4707, pp. 660–673. Springer, Heidelberg (2007)
Rajput, Q.N., Haider, S.: Use of Bayesian Network in Information Extraction from Unstructured Data Sources. International Journal of Information Technology 5(4), 207–213 (2009)
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Rajput, Q. (2010). Semantic Annotation Using Ontology and Bayesian Networks. In: Farzindar, A., Kešelj, V. (eds) Advances in Artificial Intelligence. Canadian AI 2010. Lecture Notes in Computer Science(), vol 6085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13059-5_61
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DOI: https://doi.org/10.1007/978-3-642-13059-5_61
Publisher Name: Springer, Berlin, Heidelberg
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