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Robust Module-Based Data Management
March 2013 (vol. 25 no. 3)
pp. 648-661
Francois Goasdoue, INRIA Saclay & Lab. de Rech. en Inf. (LRI), Univ. Paris-Sud, Orsay, France
M-C Rousset, Lab. d'Inf. de Grenoble (LIG), Univ. de Grenoble, St. Martin d'Heres, France
The current trend for building an ontology-based data management system (DMS) is to capitalize on efforts made to design a preexisting well-established DMS (a reference system). The method amounts to extracting from the reference DMS a piece of schema relevant to the new application needs-a module-, possibly personalizing it with extra constraints w.r.t. the application under construction, and then managing a data set using the resulting schema. In this paper, we extend the existing definitions of modules and we introduce novel properties of robustness that provide means for checking easily that a robust module-based DMS evolves safely w.r.t. both the schema and the data of the reference DMS. We carry out our investigations in the setting of description logics which underlie modern ontology languages, like RDFS, OWL, and OWL2 from W3C. Notably, we focus on the DL-liteA dialect of the DL-lite family, which encompasses the foundations of the QL profile of OWL2 (i.e., DL-liteR): the W3C recommendation for efficiently managing large data sets.
Index Terms:
Resource description framework,Semantic Web,Data models,Knowledge management,Artificial intelligence,Semantic Web,Models and principles,database management,personalization,algorithms for data and knowledge management,artificial intelligence,intelligent web services
Citation:
Francois Goasdoue, M-C Rousset, "Robust Module-Based Data Management," IEEE Transactions on Knowledge and Data Engineering, vol. 25, no. 3, pp. 648-661, March 2013, doi:10.1109/TKDE.2011.255
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