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

Authors:

W. Bruce Croft,

Howard R. TurtleAuthors Info & Claims

SIGIR '92: Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval

Pages 223 - 232

https://doi.org/10.1145/133160.133203

Published: 01 June 1992 Publication History

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.

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Cited By

Stanković RKrstev CObradović IKitanović O(2017)Improving Document Retrieval in Large Domain Specific Textual Databases Using Lexical ResourcesTransactions on Computational Collective Intelligence XXVI10.1007/978-3-319-59268-8_8(162-185)Online publication date: 15-Jun-2017
https://doi.org/10.1007/978-3-319-59268-8_8
Fatudimu IUwadia CAyo C(2012)Improving Customer Relationship Management through Integrated Mining of Heterogeneous DataInternational Journal of Computer Theory and Engineering10.7763/IJCTE.2012.V4.523(518-522)Online publication date: 2012
https://doi.org/10.7763/IJCTE.2012.V4.523
Pasi GBordogna GVilla R(2006)The PENG SystemProceedings of the 17th International Conference on Database and Expert Systems Applications10.1109/DEXA.2006.136(445-449)Online publication date: 4-Sep-2006
https://dl.acm.org/doi/10.1109/DEXA.2006.136
Show More Cited By

Index Terms

A loosely-coupled integration of a text retrieval system and an object-oriented database system
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
2. Information systems
  1. Data management systems
    1. Database management system engines
  2. Information retrieval

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Information & Contributors

Information

Published In

cover image ACM Conferences

SIGIR '92: Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval

June 1992

352 pages

ISBN:0897915232

DOI:10.1145/133160

Chairman:
Edward Fox
VPI & State Univ., Blacksburg, VA
,
Editors:
Nicholas Belkin
Rutgers Univ., New Brunswick, NJ
,
Peter Ingwersen,
Annelise Mark Pejtersen

Copyright © 1992 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

SIGIR: ACM Special Interest Group on Information Retrieval
Royal School of Lib.: Royal School of Lib.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 June 1992

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Sponsor:

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Royal School of Lib.

SIGIR92: 15th International ACM/SIGIR Conference on Research & Development in Information Retrieval

June 21 - 24, 1992

Copenhagen, Denmark

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Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Cited By

Stanković RKrstev CObradović IKitanović O(2017)Improving Document Retrieval in Large Domain Specific Textual Databases Using Lexical ResourcesTransactions on Computational Collective Intelligence XXVI10.1007/978-3-319-59268-8_8(162-185)Online publication date: 15-Jun-2017
https://doi.org/10.1007/978-3-319-59268-8_8
Fatudimu IUwadia CAyo C(2012)Improving Customer Relationship Management through Integrated Mining of Heterogeneous DataInternational Journal of Computer Theory and Engineering10.7763/IJCTE.2012.V4.523(518-522)Online publication date: 2012
https://doi.org/10.7763/IJCTE.2012.V4.523
Pasi GBordogna GVilla R(2006)The PENG SystemProceedings of the 17th International Conference on Database and Expert Systems Applications10.1109/DEXA.2006.136(445-449)Online publication date: 4-Sep-2006
https://dl.acm.org/doi/10.1109/DEXA.2006.136
Ercegovac VDeWitt DRamakrishnan RBratbergsengen K(2005)The TEXTURE benchmarkProceedings of the 31st international conference on Very large data bases10.5555/1083592.1083631(313-324)Online publication date: 30-Aug-2005
https://dl.acm.org/doi/10.5555/1083592.1083631
Yangjun Chen McFadyen RFungyee Chan (2002)Mapping DTDs to object-oriented schemasProceedings of the Second International Conference on Web Information Systems Engineering10.1109/WISE.2001.996477(161-170)Online publication date: 2002
https://doi.org/10.1109/WISE.2001.996477
Chen YAberer K(2002)Combining Pat-Trees and Signature Files for Query Evaluation in Document DatabasesDatabase and Expert Systems Applications10.1007/3-540-48309-8_44(473-484)Online publication date: 18-Jun-2002
https://doi.org/10.1007/3-540-48309-8_44
Chen YAberer KPissinou NNicholas CFrench JGardarin G(1998)Layered index structures in document database systemsProceedings of the seventh international conference on Information and knowledge management10.1145/288627.288688(406-413)Online publication date: 1-Nov-1998
https://dl.acm.org/doi/10.1145/288627.288688
Bourbakis NMeng WWu ZSalerno JBorek S(1998)Removal of redundancy in documents retrieved from different resourcesProceedings Tenth IEEE International Conference on Tools with Artificial Intelligence (Cat. No.98CH36294)10.1109/TAI.1998.744799(112-119)Online publication date: 1998
https://doi.org/10.1109/TAI.1998.744799
Baeza-Yates RNavarro GVegas JDe La Fuente P(1998)A model and a visual query language for structured textProceedings. String Processing and Information Retrieval: A South American Symposium (Cat. No.98EX207)10.1109/SPIRE.1998.712977(7-13)Online publication date: 1998
https://doi.org/10.1109/SPIRE.1998.712977
Morishima AKitagawa H(1997)A data modeling approach to the seamless information exchange among structured documents and databasesProceedings of the 1997 ACM symposium on Applied computing10.1145/331697.331712(78-87)Online publication date: 1-Apr-1997
https://dl.acm.org/doi/10.1145/331697.331712
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