SPIDER: A Multiuser Information Retrieval System for Semistructured and Dynamic Data.

Peter Schäuble: SPIDER: A Multiuser Information Retrieval System for Semistructured and Dynamic Data. SIGIR 1993: 318-327

@inproceedings{DBLP:conf/sigir/Schauble93,
  author    = {Peter Sch{\"a}uble},
  editor    = {Robert Korfhage and
               Edie M. Rasmussen and
               Peter Willett 0002},
  title     = {SPIDER: A Multiuser Information Retrieval System for Semistructured
               and Dynamic Data},
  booktitle = {Proceedings of the 16th Annual International ACM-SIGIR Conference
               on Research and Development in Information Retrieval. Pittsburgh,
               PA, USA, June 27 - July 1, 1993},
  publisher = {ACM},
  year      = {1993},
  isbn      = {0-89791-605-0},
  pages     = {318-327},
  ee        = {db/conf/sigir/Schauble93.html},
  crossref  = {DBLP:conf/sigir/93},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

BibTeX

Abstract

The access structure, the retrieval model, and the system architecture of the SPIDER information retrieval system are described. The access structure provides efficient weighted retrieval on dynamic data collections. It is based on signatures and non-inverted item descriptions. The signatures provide upper bounds for the exact retrieval status values such that only a small number of exact retrieval status values have to be computed. SPIDER's retrieval model is a probabilistic retrieval model that is capable to exploit the database scheme of semistructured data collections. This model can be considred as a further development of the Binary Independence Indexing (BII) model. The system architecture was derived systematically from a given set of requirements such as effective and efficient retrieval on dynamic data collections, exploitation of the database scheme, computed views, and the integration of information retrieval functionality and database functionality.

Copyright © 1993 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.

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BibTeX

Printed Edition

Robert Korfhage, Edie M. Rasmussen, Peter Willett (Eds.): Proceedings of the 16th Annual International ACM-SIGIR Conference on Research and Development in Information Retrieval. Pittsburgh, PA, USA, June 27 - July 1, 1993. ACM 1993, ISBN 0-89791-605-0
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Referenced by

William W. Cohen: Integration of Heterogeneous Databases Without Common Domains Using Queries Based on Textual Similarity. SIGMOD Conference 1998: 201-212
Daniel Knaus, Peter Schäuble: The System Architecture and the Transaction Concept of the SPIDER Information Retrieval System. IEEE Data Eng. Bull. 19(1): 43-52(1996)
Yasushi Ogawa: Effective & Efficient Document Ranking without using a Large Lexicon. VLDB 1996: 192-202
Marc Volz, Karl Aberer, Klemens Böhm: Applying a Flexible OODBMS-IRS-Coupling for Structured Document Handling. ICDE 1996: 10-19
Markus Tresch, Neal Palmer, Allen Luniewski: Type Classification of Semi-Structured Documents. VLDB 1995: 263-274
Charles L. Viles, James C. French: On the Update of Term Weights in Dynamic Information Retrieval Systems. CIKM 1995: 167-174

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