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Ontology-based Semantic Classification of Unstructured Documents
Proceedings of the International School on Neural Networks
  • Ching Kang Cheng, California Polytechnic State University - San Luis Obispo
  • Xiao Shan Pan, Stanford University
  • Franz J. Kurfess, California Polytechnic State University, San Luis Obispo
Publication Date
2-26-2002
Abstract
As more and more knowledge and information becomes available through computers, a critical capability of systems supporting knowledge management is the classification of documents into categories that are meaningful to the user. In a step beyond the use of keywords, we developed a system that analyzes the sentences contained in unstructured or semi-structured documents, and utilizes an ontology reflecting the domain knowledge for a semantic classification of the documents. An experimental system has been implemented for the analysis of small documents in combination with a limited ontology; an extension to larger sets of documents and extended ontologies, together with an application to practical tasks, is the focus of ongoing work.
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Citation Information
Ching Kang Cheng, Xiao Shan Pan and Franz J. Kurfess. "Ontology-based Semantic Classification of Unstructured Documents" Proceedings of the International School on Neural Networks (2002) p. 275 - 292
Available at: http://works.bepress.com/fkurfess/15/