A Loosely-Coupled Integration of a Text Retrieval System and an Object-Oriented Database System.

W. Bruce Croft, Lisa Ann Smith, Howard R. Turtle: A Loosely-Coupled Integration of a Text Retrieval System and an Object-Oriented Database System. SIGIR 1992: 223-232

@inproceedings{DBLP:conf/sigir/CroftST92,
  author    = {W. Bruce Croft and
               Lisa Ann Smith and
               Howard R. Turtle},
  editor    = {Nicholas J. Belkin and
               Peter Ingwersen and
               Annelise Mark Pejtersen},
  title     = {A Loosely-Coupled Integration of a Text Retrieval System and
               an Object-Oriented Database System},
  booktitle = {Proceedings of the 15th Annual International ACM SIGIR Conference
               on Research and Development in Information Retrieval. Copenhagen,
               Denmark, June 21-24, 1992},
  publisher = {ACM},
  year      = {1992},
  isbn      = {0-89791-523-2},
  pages     = {223-232},
  ee        = {db/conf/sigir/CroftST92.html},
  crossref  = {DBLP:conf/sigir/92},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

BibTeX

Abstract

Document management systems are needed for many business applications. This type of system would combine the functionality of a database system, (for describing, storing and maintaining documents with complex structure and relationships) with a text retrieval system (for effective retrieval based on full text). The retrieval model for a document management system is complicated by the variety and complexity of the objects that are represented. In this paper, we describe an approach to complex object retrieval using a probabilistic inference net model, and an implementation of this approach using a loose coupling of an object-oriented database system (IRIS) and a text retrieval system based on inference nets (INQUERY). The resulting system is used to store long, structured documents and can retrieve document components (sections, figures, etc.) based on their contents or the contents of related components. The lessons learnt from the implementation are discussed.

Copyright © 1992 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

Nicholas J. Belkin, Peter Ingwersen, Annelise Mark Pejtersen (Eds.): Proceedings of the 15th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Copenhagen, Denmark, June 21-24, 1992. ACM 1992, ISBN 0-89791-523-2
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Referenced by

Atsuyuki Morishima, Hiroyuki Kitagawa: A Data Modelling and Query Processing Scheme for Integration of Structured Document Repositories and Relational Databases. DASFAA 1997: 145-154
Marc Volz, Karl Aberer, Klemens Böhm: An OODBMS-IRS Coupling for Structured Documents. IEEE Data Eng. Bull. 19(1): 34-42(1996)
Gabriele Sonnenberger: Exploiting the Functionality of Object-Oriented Database Management Systems for Information Retrieval. IEEE Data Eng. Bull. 19(1): 14-23(1996)
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)
Marc Volz, Karl Aberer, Klemens Böhm: Applying a Flexible OODBMS-IRS-Coupling for Structured Document Handling. ICDE 1996: 10-19
Maxim Martynov, Boris Novikov: An Indexing Algorithm for Text Retrieval. ADBIS 1996: 171-175
Tak W. Yan, Jurgen Annevelink: Integrating a Structured-Text Retrieval System with an Object-Oriented Database System. VLDB 1994: 740-749

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