Advanced Retrieval From Heterogeneous Fact Databases: Integration of Data Retrieval, Conversion, Aggregation and Deductive Techniques.

Kalervo Järvelin, Timo Niemi: Advanced Retrieval From Heterogeneous Fact Databases: Integration of Data Retrieval, Conversion, Aggregation and Deductive Techniques. SIGIR 1991: 173-182

@inproceedings{DBLP:conf/sigir/JarvelinN91,
  author    = {Kalervo J{\"a}rvelin and
               Timo Niemi},
  editor    = {Abraham Bookstein and
               Yves Chiaramella and
               Gerard Salton and
               Vijay V. Raghavan},
  title     = {Advanced Retrieval From Heterogeneous Fact Databases: Integration
               of Data Retrieval, Conversion, Aggregation and Deductive Techniques},
  booktitle = {Proceedings of the 14th Annual International ACM SIGIR Conference
               on Research and Development in Information Retrieval. Chicago,
               Illinois, USA, October 13-16, 1991 (Special Issue of the SIGIR
               Forum)},
  publisher = {ACM},
  year      = {1991},
  isbn      = {0-89791-448-1},
  pages     = {173-182},
  ee        = {db/conf/sigir/JarvelinN91.html},
  crossref  = {DBLP:conf/sigir/91},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

BibTeX

Abstract

Modern distributed fact databases are heterogeneous and autonomous. Their heterogeneity is due to many reasons, including varying data models, data structures, attribute naming conventions, units of measurement or naming of data values, composition of data as attributes, technical representation of data, abstraction levels of data, etc. Database autonomity means that the database users have hardly any means for reducing such heterogeneity. Present information retrieval (IR) systems either provide no support for overcoming such heterogeneity or their support is insufficient and difficult to utilize. In this paper we offer integrated and powerful data conversion, aggregation and deductive techniques for advanced IR in such environments. These techniques allow the users to overcome data inconsistency due to units of measurement or naming of data values, composition of data as attributes, abstraction levels of data, and difficulties related to deductive use of hierarchically classified data. In complex situations, all these inconsistencies appears together. Therefore we also show how these techniques are integrated into a powerful query language which has been implemented in Prolog in a workstation environment.

Copyright © 1991 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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Abraham Bookstein, Yves Chiaramella, Gerard Salton, Vijay V. Raghavan (Eds.): Proceedings of the 14th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Chicago, Illinois, USA, October 13-16, 1991 (Special Issue of the SIGIR Forum). ACM 1991, ISBN 0-89791-448-1
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