MDDQL-Stat: Data Querying and Analysis through Integration of Intentional and Extensional Semantics

  • Authors:
  • Epaminondas Kapetanios;David Baer;Bjorn Glaus;Paul Groenewoud

  • Affiliations:
  • Semantic Technologies, Switzerland;Semantic Technologies, Switzerland;Semantic Technologies, Switzerland;Semantic Technologies, Switzerland

  • Venue:
  • SSDBM '04 Proceedings of the 16th International Conference on Scientific and Statistical Database Management
  • Year:
  • 2004

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Abstract

We would like to present a prototype system enabling arather empirical than a formal approach to the problemof posing queries to a semantically rich (quality aspects,semantic distance, etc.) data integration system {G,S,M}(Global schema, Sources, Mediation) through integrationnot only of intensional but also of extensional semantics.While the first is provided by an alphabet A{g}, as given byan ontology based global schema G, and a high level querylanguage (conjunction/disjunction + inequalities + statisticaloperations), the latter enables synthesizing of datasource specific and previously transformed query results accordingto well-defined set operations for heterogeneous,distributed data sources. Our approach contrasts with otherGAV (Global-As-View) related architectures for mediationof integrated read-only views, in that it simplifies query processingwhile preserving flexibility when adding new datasources, despite the inherited complexity of mappings dueto enhanced semantic description of data (semantic distance,quality parameters, etc.) such that statistical resultsand comparisons become more meaningful.