Ontology-based Semantic Classification of Unstructured DocumentsProceedings of the International School on Neural Networks
AbstractAs 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.
Citation InformationChing 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/