Natural Language Processing Agents and Document Clustering in Knowledge Management: The Semantic Web Case

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Author(s): Steve Legrand (University of Jyväskylä, Finland)and JRG Pulido (University of Colima, Mexico)
Copyright: 2008
Pages: 23
Source title: Handbook of Research on Global Information Technology Management in the Digital Economy
Source Author(s)/Editor(s): Mahesh S. Raisinghani (Texas Woman's University, USA)
DOI: 10.4018/978-1-59904-875-8.ch022

Keywords: Computer Science & IT / Global Information Technology / Information Science Reference

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Abstract

While HTML provides the Web with a standard format for information presentation, XML has been made a standard for information structuring on the Web. The mission of the Semantic Web now is to provide meaning to the Web. Apart from building on the existing Web technologies, we need other tools from other areas of science to do that. This chapter shows how natural language processing methods and technologies, together with ontologies and a neural algorithm, can be used to help in the task of adding meaning to the Web, thus making the Web a better platform for knowledge management in general.

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Natural Language Processing Agents and Document Clustering in Knowledge Management: The Semantic Web Case

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