Ontology-based Semantic Classification of Unstructured Documents
Ching Kang Cheng, Xiaoshan Pan, Franz Kurfeß · 2004
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. With the volume of knowledge and information available to computer users increasing at an ever accelerating rate, the need for an effective mechanism to organize not only information, but also knowledge becomes critically important. Document clustering techniques have been employed frequently to support the organization and retrieval of