Paper Info
Title
A Scalable Framework for the Interoperation of Information Sources.
Abstract
Resolving heterogeneity among information systems is a crucial necessity if we wish to gain value from the many distributed resources available to us. Problems of heterogeneity in hardware, operating systems, and data structures have been widely addressed, but issues of diverse semantics have been handled mainly in an ad-hoc fashion. In this paper, we present ONION, a system based on a scalable approach to inter-operation of information systems that articulates their associated ontologies. An articulation focuses on the semantically relevant intersection of information resources with respect to a type of application. However, ontologies obtained from diverse sources are represented using different formats. We have designed a simple intermediate format - the ONION ontology format - that we transform ontologies to before we generate semantic correspondences or articulations between them. In ONION, application-dependent articulation rules that capture the correspondence between concepts in different ontologies are established between source ontologies semi-automatically. Finally we present an ontology algebra, based on the articulation rules, for the composition of ontologies.
Year
Venue
Keywords
2001
Frontiers in Artificial Intelligence and Applications
data structure,information system,operating system
DocType
Volume
ISSN
Conference
75
0922-6389
Citations 
PageRank 
References 
10
2.87
6
Authors
3
Name
Order
Citations
PageRank
Prasenjit Mitra12439167.89
Gio Wiederhold242601502.89
Stefan Decker35799643.68