OntoIntegra: Método para la integración de datos almacenados en fuentes heterogéneas.

Data sources integration is about interconnecting and accessing heterogeneous data sources. With the evolution of the organizations, this topic has become an important research field both for academy and industry. The project “Information and Communication Technologies supporting the educational process and the knowledge management in higher education” (ELINF) needs to integrate heterogeneous data sources for supporting the authority control process in its software. This work aims to develop a method with semantic components to contribute to the integration of authority control related data, required by the ELINF project, which is stored in heterogeneous data sources into a software. The current research describes the developed method. At the same time, it describes the study case used for validating it, through the comparison of a software application developed without the proposed method and another one instantiating the method regarding to its capacity to integrate heterogeneous data sources

MashUp web data sources and services based on semantic queries

International audienceThis paper describes a process for mashing heterogeneous data sources based on the Multi-data source Fusion Approach (MFA) (Nachouki and Quafafou, 2008 [52]). The aim of MFA is to facilitate the fusion of heterogeneous data sources in dynamic contexts such as the Web. Data sources are either static or active: static data sources can be structured or semi-structured (e.g. XML documents or databases), whereas active sources are services (e.g. Web services). Our main objective is to combine (Web) data sources with a minimal effort required from the user. This objective is crucial because the mashing process implies easy and fast integration of data sources. We suppose that the user is not expert in this field but he/she understands the meaning of data being integrated. In this paper, we consider two important aspects of the Web mashing process. The first one concerns the information extraction from the Web. The results of this process are the static data sources that are used later together with services in order to create a new result/application. The second one concerns the problem of semantic reconciliation of data sources. This step consists to generate the Conflicts data source in order to improve the problem of rewriting semantic queries into sub-queries (not addressed in this paper) over data sources. We give the design of our system MDSManager. We show this process through a real-life application