NDLI: Semantic query transformation using ontologies

Content Provider	IEEE Xplore Digital Library
Author	Necib, C.B. Freytag, J.-C.
Copyright Year	2005
Description	Author affiliation: Dept. of Comput. Sci., Humboldt-Univ. zu Berlin, Germany (Necib, C.B.; Freytag, J.-C.)
Abstract	Traditional approaches to query processing aim at rewriting a given query into another more efficient one that uses less time and/or resources during the execution. There by, the rewritten query must be equivalent to the initial one, i.e., it must provide the same result. However, rewriting queries in equivalent ways do not always satisfy the user's needs, in particular when the user does not receive any answer at all. In this paper, we propose a new approach for query processing which allows to rewrite a query into another one which is not necessary equivalent but can provide more meaningful result satisfying the user's intention. For this purpose, we illustrate how semantic knowledge inform of ontologies could be effectively used. We develop a set of rewriting rules which rely on semantic information extracted form the ontology associated with the database. In addition, we discuss features of the necessary mappings between the ontology and its underlying database.
Starting Page	187
Ending Page	199
File Size	260208
Page Count	13
File Format	PDF
ISBN	0769524044
ISSN	10988068
DOI	10.1109/IDEAS.2005.51
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-07-25
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Ontologies Query processing Spatial databases Computer science Data mining Database systems Cost function Natural languages Data engineering Containers
Content Type	Text
Resource Type	Article

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