NDLI: An intelligent heterogeneous autonomous database architecture for semantic heterogeneity support

Content Provider	IEEE Xplore Digital Library
Author	Weishar, D. Kerschberg, L.
Copyright Year	1991
Description	Author affiliation: Dept. of Inf. Syst. & Syst. Eng., George Mason Univ., Fairfax, VA, USA (Weishar, D.; Kerschberg, L.)
Abstract	Semantic heterogeneity in heterogeneous autonomous databases poses problems in instance matches, units conversion (value interpretation), contextual and structural mismatches, etc. The authors examine some of the research issues in semantic heterogeneity and propose a novel architecture for resolving such problems. The approach involves the use of artificial intelligence tools and techniques to construct domain models, that is data and knowledge representations of the constituent databases and an overall domain model of the semantic interactions among the databases. These domain models are represented as knowledge sources (KSs) in a blackboard architecture. This architecture lends itself to an opportunistic approach to query processing and goal-directed problem solving. They introduce the notion of data/knowledge packets as a means of supporting semantic heterogeneity, and show how an active and intelligent global thesaurus can be used to reformulate queries based on knowledge associated with terms and their usage in local databases.<>
Starting Page	152
Ending Page	155
File Size	476217
Page Count	4
File Format	PDF
ISBN	0818622059
DOI	10.1109/IMS.1991.153698
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1991-04-07
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Object oriented databases Object oriented modeling Query processing Knowledge representation Data engineering Thesauri Problem-solving Deductive databases Artificial intelligence Information systems
Content Type	Text
Resource Type	Article

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