Integration of Probabilistic Fact and Text Retrieval.

Norbert Fuhr: Integration of Probabilistic Fact and Text Retrieval. SIGIR 1992: 211-222

@inproceedings{DBLP:conf/sigir/Fuhr92,
  author    = {Norbert Fuhr},
  editor    = {Nicholas J. Belkin and
               Peter Ingwersen and
               Annelise Mark Pejtersen},
  title     = {Integration of Probabilistic Fact and Text Retrieval},
  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     = {211-222},
  ee        = {db/conf/sigir/Fuhr92.html},
  crossref  = {DBLP:conf/sigir/92},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

BibTeX

Abstract

In this paper, a model for combining text and fact retrieval is described. A query is a set of conditions, where a single condition is either a text or fact condition. Fact conditions can be interpreted as being vague, thus leading to nonbinary weights for fact conditions with respect to database objects. For text conditions, we use descriptions of the occurence of terms in documents instead of precomputed indexing weights, thus treating terms similar to attributes. Probabilistic indexing weights for conditions are computed by introducing the notion of correctness (or acceptability) of a condition w.r.t. an object. These indexing weights are used in retrieval for a probabilistic ranking of objects based on the retrieval for a probabilistic ranking of objects based on the retrieval-with-probabilistic-indexing (RPI) model, for which a new derivation is given here.

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

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)
Norbert Fuhr: Models for Integrated Information Retrieval and Database Systems. IEEE Data Eng. Bull. 19(1): 3-13(1996)

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