Taxonomic and Uncertain Integrity Constraints in Object-Oriented Databases - the TOP Approach.
Thomas Lukasiewicz, Werner Kießling, Gerhard Köstler, Ulrich Güntzer:
Taxonomic and Uncertain Integrity Constraints in Object-Oriented Databases - the TOP Approach.
CIKM 1995: 241-249@inproceedings{DBLP:conf/cikm/LukasiewiczKKG95,
author = {Thomas Lukasiewicz and
Werner Kie{\ss}ling and
Gerhard K{\"o}stler and
Ulrich G{\"u}ntzer},
title = {Taxonomic and Uncertain Integrity Constraints in Object-Oriented
Databases - the TOP Approach},
booktitle = {CIKM '95, Proceedings of the 1995 International Conference on
Information and Knowledge Management, November 28 - December
2, 1995, Baltimore, Maryland, USA},
publisher = {ACM},
year = {1995},
pages = {241-249},
ee = {http://doi.acm.org/10.1145/221270.221580},
crossref = {DBLP:conf/cikm/95},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Abstract
We present a coherent modeling and reasoning methodology to extend object-oriented databaaee towards taxonomic and uncertain integrity constraints.
Our so-called TOP database model enriches current ISA-hierarchies by more general t-claeses to improve conceptual modeling.
The t-classes themselves are then integrated with probabilistic constraints to express uncertainty.
We give an efficient algorithm for checking the modeling-consistency of a probabilistic knowledgebase.
As a typical application domain for TOP, we exemplify how various aspects of a portfolio management system can be modeled.
We also demonstrate that recent probabilistic inference methods, relying on a careful interaction between taxonomic and uncertain knowledge, can be applied in this context.
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CIKM '95, Proceedings of the 1995 International Conference on Information and Knowledge Management, November 28 - December 2, 1995, Baltimore, Maryland, USA.
ACM 1995
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