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Knowledge Extraction to Improve Information Retrieval in Scientific Documents

Knowledge Extraction to Improve Information Retrieval in Scientific Documents
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Author(s): Rocío Abascal (INSA of Lyon, France) and Béatrice Rumpler (INSA of Lyon, France)
Copyright: 2006
Pages: 3
Source title: Emerging Trends and Challenges in Information Technology Management
Source Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-59904-019-6.ch089
ISBN13: 9781616921286
EISBN13: 9781466665361

Abstract

Annotation is a key way in which documents grow and increase in value. This paper explores the possibility to use concepts extracted from documents by using a Natural Language Processing tool to characterize the content of digital theses. Then, using the results of the study, the paper explores the use of annotated theses in order to access to pertinent information stored in these documents and to extract knowledge by an “intelligent” search system.

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