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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        = {db/conf/cikm/LukasiewiczKKG95.html, http://doi.acm.org/10.1145/221270.221580},
  crossref  = {DBLP:conf/cikm/95},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

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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