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MDDQL-Stat: data querying and analysis through integration of intentional and extensional semantics

Kapetanios, Epaminondas and Baer, David and Glaus, Bjorn and Groenewoud, Paul (2004) MDDQL-Stat: data querying and analysis through integration of intentional and extensional semantics. In: 16th International Conference on Scientific and Statistical Database Management (SSDBM'04). IEEE Computer Society, USA, pp. 353-356. ISBN 0769521460


Official URL: http://dx.doi.org/10.1109/SSDM.2004.1311230


We would like to present a prototype system enabling a rather empirical than a formal approach to the problem of posing queries to a semantically rich (quality aspects, semantic distance, etc.) data integration system {G,S,M} (Global schema, Sources, Mediation) through integration not only of intensional but also of extensional semantics. While the first is provided by an alphabet Ag, as given by an ontology based global schema G, and a high level query language (conjunction/disjunction + inequalities + statistical operations), the latter enables synthesizing of data source specific and previously transformed query results according to well-defined set operations for heterogeneous, distributed data sources. Our approach contrasts with other GAV (Global-As-View) related architectures for mediation of integrated read-only views, in that it simplifies query processing while preserving flexibility when adding new data sources, despite the inherited complexity of mappings due to enhanced semantic description of data (semantic distance, quality parameters, etc.) such that statistical results and comparisons become more meaningful.

Item Type:Book Section
Uncontrolled Keywords:Data Integration, Ontology Driven Querying, Statistics, Mediation
Research Community:University of Westminster > Electronics and Computer Science, School of
ID Code:861
Deposited On:27 Sep 2005
Last Modified:11 Aug 2010 15:29

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