Robust Module-Based Data Management
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-,...
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| Vydáno v: | IEEE transactions on knowledge and data engineering Ročník 25; číslo 3; s. 648 - 661 |
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| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
New York
IEEE
01.03.2013
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers |
| Edice: | Transactions on Knowledge and Data Engineering |
| Témata: | |
| ISSN: | 1041-4347, 1558-2191 |
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| Abstract | 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-lite A dialect of the DL-lite family, which encompasses the foundations of the QL profile of OWL2 (i.e., DL-lite R ): the W3C recommendation for efficiently managing large data sets. |
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| AbstractList | 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 {\rm DL\hbox{-}lite}_{\cal A} dialect of the DL-lite family, which encompasses the foundations of the QL profile of OWL2 (i.e., {\rm DL\hbox{-}lite}_{\cal R}): the W3C recommendation for efficiently managing large data sets. 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 wrt the application under construction, and then managing a dataset 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 wrt 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-lite_A dialect of the DL-lite family, which encompasses the foundations of the QL profile of OWL2 (ie DL-lite_R): the W3C recommendation for efficiently managing large datasets. 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-lite A dialect of the DL-lite family, which encompasses the foundations of the QL profile of OWL2 (i.e., DL-lite R ): the W3C recommendation for efficiently managing large data sets. |
| Author | Goasdoue, Francois Rousset, M-C |
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| SubjectTerms | algorithms for data and knowledge management Artificial Intelligence Computer Science Data management Data models database management Design engineering Foundations intelligent web services Knowledge management Models and principles Ontology personalization Personalizing Reference systems Resource description framework Robustness Semantic Web Studies Trends |
| Title | Robust Module-Based Data Management |
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