A Relevance Terminological Logic for Information Retrieval.
Carlo Meghini, Umberto Straccia:
A Relevance Terminological Logic for Information Retrieval.
SIGIR 1996: 197-205@inproceedings{DBLP:conf/sigir/MeghiniS96,
author = {Carlo Meghini and
Umberto Straccia},
editor = {Hans-Peter Frei and
Donna Harman and
Peter Sch{\"a}uble and
Ross Wilkinson},
title = {A Relevance Terminological Logic for Information Retrieval},
booktitle = {Proceedings of the 19th Annual International ACM SIGIR Conference
on Research and Development in Information Retrieval, SIGIR'96,
August 18-22, 1996, Zurich, Switzerland (Special Issue of the
SIGIR Forum)},
publisher = {ACM},
year = {1996},
isbn = {0-89791-792-8},
pages = {197-205},
ee = {db/conf/sigir/MeghiniS96.html},
crossref = {DBLP:conf/sigir/96},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Abstract
A Terminological Logic is presented as an information retrieval model, with a four-valued semantics that gives to its inference relation the flavour of relevance, that is a strict connection in meaning between the premises and the conclusion of the arguments licensed by the logic.
The logic also permits the expression of meta-knowledge enforcing a closed-world reading of the knowledge concerning specified individuals and primitive concepts.
A Gentzen-style, sound and complete calculus for reasoning in the logic is given, thus establishing the basis for an information retrieval engine.
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BibTeX
Printed Edition
Hans-Peter Frei, Donna Harman, Peter Schäuble, Ross Wilkinson (Eds.):
Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'96, August 18-22, 1996, Zurich, Switzerland (Special Issue of the SIGIR Forum).
ACM 1996, ISBN 0-89791-792-8
Contents BibTeX
Citation page
Referenced by
- Norbert Fuhr, Thomas Rölleke:
HySpirit - A Probabilistic Inference Engine for Hypermedia Retrieval in Large Databases.
EDBT 1998: 24-38
BibTeX
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