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Information Retrieval and Structured Documents

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Lectures on Information Retrieval (ESSIR 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1980))

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Abstract

Standard Information Retrieval considers documents as atomic units of information that are indexed and retrieved as a whole. Modern evolution of document design and storage have since a long time introduced more elaborate representations of documents; standards such as SGML, then HTML and now XML are of course major contributions in this domain. These standards underly today evolutions towards modern electronic documents. In this context, retrieving structured documents refers to index and retrieve information according to a given structure of documents. This means that documents are no longer considered as atomic entities, but as aggregates of interrelated objects that can be retrieved separately: given a retrieval query, one may retrieve the set of document components that are most relevant to this query.

In this chapter we shall first emphasise some aspects which, in our opinion, relate explicit use of document structure to interactive retrieval performances, such as efficiency while browsing or querying information. In a second step we shall investigate two classes of implementation approaches dealing with indexing and retrieving structured documents: passage retrieval and explicit use of hierarchical structures of documents.

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Author information

Authors and Affiliations

  1. CLIPS Laboratory, Grenoble Cedex 6, BP 53. 38041, France

    Yves Chiaramella

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  1. Yves Chiaramella
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Editors and Affiliations

  1. Dipartimento di Elettronica e Informatica, Universitá di Padova, Via Ognissanti,72, 35131, Padova

    Maristella Agosti

  2. Department of Computer Science, University of Strathclyde, G1 1XH, Glasgow, Scotland,UK

    Fabio Crestani

  3. Consiglio Nazionale delle Ricerche, ITIM, Via Ampere, 56, 20131, Milano, Italy

    Gabriella Pasi

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Chiaramella, Y. (2000). Information Retrieval and Structured Documents. In: Agosti, M., Crestani, F., Pasi, G. (eds) Lectures on Information Retrieval. ESSIR 2000. Lecture Notes in Computer Science, vol 1980. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45368-7_12

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  • DOI: https://doi.org/10.1007/3-540-45368-7_12

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  • Print ISBN: 978-3-540-41933-4

  • Online ISBN: 978-3-540-45368-0

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