Loosely-coupled integration of a text retrieval system and an object-oriented database system

W. Bruce Croft, Lisa A. Smith, Howard R. Turtle

Research output: Chapter in Book/Entry/PoemConference contribution

4 Scopus citations

Abstract

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 text contents or the contents related components. The lessons learnt from the implementation are discussed.

Original languageEnglish (US)
Title of host publicationSIGIR Forum (ACM Special Interest Group on Information Retrieval)
EditorsNicholas Belkin, Peter Ingwersen, Annelise Mark Pejtersen
PublisherPubl by ACM
Pages223-232
Number of pages10
ISBN (Print)0897915232
StatePublished - 1992
EventProceedings of the 15th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval - Copenhagen, Den
Duration: Jun 21 1992Jun 24 1992

Publication series

NameSIGIR Forum (ACM Special Interest Group on Information Retrieval)
ISSN (Print)0163-5840

Other

OtherProceedings of the 15th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
CityCopenhagen, Den
Period6/21/926/24/92

ASJC Scopus subject areas

  • Management Information Systems
  • Hardware and Architecture

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