Provided by: Institute of Electrical & Electronic Engineers
Topic: 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 -, possibly personalizing it with extra-constraints w.r.t. the application under construction, and then managing a dataset using the resulting schema. In this paper, the authors extend the existing definitions of modules and they 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.