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      A Logical Relational Approach for Information Retrieval Indexing

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      Proceedings of the 19th Annual BCS-IRSG Colloquium on IR Research (IR)

      IR Research

      8-9 April 1997

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          Abstract

          In a relational indexing approach (see e.g. Farradane’s work), information is carried by a fixed set of relationship types over an underlying set of terms. The idea is that the essence of the meaning of information is encapsulated in the relationships between terms. The importance of relationships is now widely recognized within many fields such as relational databases and knowledge representation formalisms. These fields have substantially improved our understanding of relationships and the problems involved in trying to formalize them. However, although those relationships can be correctly represented by almost all the well-known formalisms in such fields, they are not exploited as much as the objects by concrete operations. In information retrieval, previous attempts at managing relationships have mainly addressed structural aspects, and exclude the manipulation of index expressions by relational operations. This paper suggests a prime use of the relation properties through a logical framework, in a way that it can improve the effectiveness of the matching operation.

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          Most cited references 6

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          A model of information retrieval based on a terminological logic

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            (invited paper) A new theoretical framework for information retrieval

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              About Retrieval Models and Logic

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                Author and article information

                Conference
                April 1997
                April 1997
                : 1-18
                Affiliations
                CLIPS-IMAG, MRIM Team, University of Grenoble

                BP 53, 38041 Grenoble Cedex, France
                Department of Information Systems, University of Nijmegen

                Toernooiveld 1, NL-6525 ED Nijmegen, The Netherlands
                Article
                10.14236/ewic/IR1997.7
                © Iadh Ounis et al. Published by BCS Learning and Development Ltd. Proceedings of the 19th Annual BCS-IRSG Colloquium on IR Research, Aberdeen, Scotland

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                Proceedings of the 19th Annual BCS-IRSG Colloquium on IR Research
                IR
                19
                Aberdeen, Scotland
                8-9 April 1997
                Electronic Workshops in Computing (eWiC)
                IR Research
                Product
                Product Information: 1477-9358BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Categories
                Electronic Workshops in Computing

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