Probabilistic Datalog - A Logic For Powerful Retrieval Methods.

Norbert Fuhr: Probabilistic Datalog - A Logic For Powerful Retrieval Methods. SIGIR 1995: 282-290

@inproceedings{DBLP:conf/sigir/Fuhr95,
  author    = {Norbert Fuhr},
  editor    = {Edward A. Fox and
               Peter Ingwersen and
               Raya Fidel},
  title     = {Probabilistic Datalog - A Logic For Powerful Retrieval Methods},
  booktitle = {SIGIR'95, Proceedings of the 18th Annual International ACM SIGIR
               Conference on Research and Development in Information Retrieval.
                Seattle, Washington, USA, July 9-13, 1995 (Special Issue of
               the SIGIR Forum)},
  publisher = {ACM Press},
  year      = {1995},
  isbn      = {0-89791-714-6},
  pages     = {282-290},
  ee        = {db/conf/sigir/Fuhr95.html},
  crossref  = {DBLP:conf/sigir/95},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

BibTeX

Abstract

In the logical approach to information retrieval, retrieval is considered as uncertain inference. Here we present a new, powerfull inference method for this purpose which combines Datalog with probability theory on the basis of intensional semantics. We describe syntax and semantics of probabilistic Datalog and also present an evaluation method and a prototype implementation. This approach allows for easy formulation of specific retrieval models for arbitrary applications, and classical probabilistic IR models can be implemented by specifying the appropriate rules. In comparison to other approaches, the possibility of recursive rules allows for more powerfhl inferences. Finally, probabilistic Datalog can be used as a query language for integrated information retrieval and database systems.

Copyright © 1995 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

Edward A. Fox, Peter Ingwersen, Raya Fidel (Eds.): SIGIR'95, Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Seattle, Washington, USA, July 9-13, 1995 (Special Issue of the SIGIR Forum). ACM Press 1995, ISBN 0-89791-714-6
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Referenced by

William W. Cohen: Providing Database-like Access to the Web Using Queries Based on Textual Similarity. SIGMOD Conference 1998: 558-560
William W. Cohen: Integration of Heterogeneous Databases Without Common Domains Using Queries Based on Textual Similarity. SIGMOD Conference 1998: 201-212
Norbert Fuhr, Thomas Rölleke: HySpirit - A Probabilistic Inference Engine for Hypermedia Retrieval in Large Databases. EDBT 1998: 24-38
Norbert Fuhr: Models for Integrated Information Retrieval and Database Systems. IEEE Data Eng. Bull. 19(1): 3-13(1996)

BibTeX

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