The Multi-model DBMS Architecture and XML Information Retrieval

A.P. de Vries, J.A. List, H.E. Blok

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Abstract

Since long, computer science has distinguished between information retrieval and data retrieval, where information retrieval entails the problem of ranking textual documents on their content (with the goal to identify documents relevant for satisfying a user's information need) while data retrieval involves exact match, that is, checking a data collection for presence or absence of (precisely specified) items. But, now that XML has become a standard document model that allows structure and text content to be represented in a combined way, new generations of information retrieval systems are expected to handle semi-structured documents instead of plain text, with usage scenarios that require the combination of `conventional' ranking with other query constraints; based on the structure of text documents, on the information extracted from various media (or various media representations), or through additional information induced during the query process.
Original languageEnglish
Title of host publicationIntelligent Search on XML Data: Applications, Languages, Models, Implementations, and Benchmarks
EditorsHenk Blanken, T. Grabs, H-J. Schek, R. Schenkel, G. Weikum
Place of PublicationBerlin, Germany
PublisherSpringer
Pages179-191
Number of pages15
ISBN (Electronic)978-3-540-45194-5
ISBN (Print)978-3-540-40768-3
DOIs
Publication statusPublished - 2003

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume2818
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • IR-63669
  • EWI-8102
  • DB-XMLDB: XML DATABASES
  • DB-XMLIR: XML INFORMATION RETRIEVAL
  • DB-PRJMOA: MAGNUM OBJECT ALGEBRA
  • METIS-216058

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  • Cite this

    de Vries, A. P., List, J. A., & Blok, H. E. (2003). The Multi-model DBMS Architecture and XML Information Retrieval. In H. Blanken, T. Grabs, H-J. Schek, R. Schenkel, & G. Weikum (Eds.), Intelligent Search on XML Data: Applications, Languages, Models, Implementations, and Benchmarks (pp. 179-191). (Lecture Notes in Computer Science; Vol. 2818). Berlin, Germany: Springer. https://doi.org/10.1007/978-3-540-45194-5_12