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Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Information Extraction from Free-Text Business Documents

Information Extraction from Free-Text Business Documents
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Author(s): Witold Abramowicz (The Poznan University of Economics, Poland) and Jakub Piskorski (German Research Center for Artificial Intelligence (DFKI), Germany)
Copyright: 2002
Pages: 5
Source title: Issues & Trends of Information Technology Management in Contemporary Organizations
Source Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-930708-39-6.ch164
ISBN13: 9781930708396
EISBN13: 9781466641358

Abstract

One of the most difficult aspects of using search technology is the process of getting information in shape for searching. The objective of this paper is an investigation of the applicability of information extraction techniques in real-world business applications dealing with textual data since business relevant data is mainly transmitted through free-text documents. Further, we demonstrate an enormous indexing potential of lightweight linguistic text processing techniques applied in information extraction systems in other closely related fields of information technology which concern processing vast amounts of textual data.

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