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@inproceedings{DBLP:conf/sigir/RollekeF96,
author = {Thomas R{\"o}lleke and
Norbert Fuhr},
editor = {Hans-Peter Frei and
Donna Harman and
Peter Sch{\"a}uble and
Ross Wilkinson},
title = {Retrieval of Complex Objects Using a Four-Valued Logic},
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 = {206-214},
ee = {db/conf/sigir/RollekeF96.html},
crossref = {DBLP:conf/sigir/96},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
The aggregated structure of documents plays a key role in full-text, multimedia, and network Information Retrieval (IR). Considering aggregation provides new querying facilities and improves retrieval effectiveness. We present a knowledge representation for IR purposes which pays special attention to this aggregated structure of objects. In addition, further features of objects can be described. Thus, the structure of full-text documents, the heterogeneity and the spatial and temporal relationships of objects typical for multimedia IR, and meta information for network IR are representable within one integrated framework.
The model we propose allows for querying on the content of documents (objects) as well as on other features. The query result may contain objects having different types. Instead of retrieving only whole documents, the retrieval process determines the least aggregated entities that imply the query.
Copyright © 1996 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.