The EGG/YOLK Reliability Hierarchy : Semantic Data Integration Using Sorts with Prototypes.
Fritz Lehmann, Anthony G. Cohn:
The EGG/YOLK Reliability Hierarchy : Semantic Data Integration Using Sorts with Prototypes.
CIKM 1994: 272-279@inproceedings{DBLP:conf/cikm/LehmannC94,
author = {Fritz Lehmann and
Anthony G. Cohn},
title = {The EGG/YOLK Reliability Hierarchy : Semantic Data Integration
Using Sorts with Prototypes},
booktitle = {Proceedings of the Third International Conference on Information
and Knowledge Management (CIKM'94), Gaithersburg, Maryland, November
29 - December 2, 1994},
publisher = {ACM},
year = {1994},
pages = {272-279},
ee = {db/conf/cikm/LehmannC94.html, http://doi.acm.org/10.1145/191246.191293},
crossref = {DBLP:conf/cikm/94},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Abstract
Integration of disparate heterogeneous databases requires translation of types. Because a type in
one system often has no exact counterpart in the others, fully reliable integration requires deep
understanding of the subject domain, with conceptual analysis of type meanings. So far, reliable
translation has had to be done by hand. In practice, few types are so crucial as to require full
reliability. The EGG/YOLK hierarchy ranks types by the tolerable rashness in translation, based on
prototypes in each type. Each defined class (EGG) has a subclass of typical members (YOLK) defined. We
exploit Cui, Cohn and Randell's Qualitative Spatial Simulation program to create the hierarchy of all
possible relations between source and target EGG/YOLK types, ranked by reliability. Our eventual ranking
is based on a poset combining four different preference criteria.
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Printed Edition
Proceedings of the Third International Conference on Information and Knowledge Management (CIKM'94), Gaithersburg, Maryland, November 29 - December 2, 1994.
ACM 1994
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