The integration of heterogeneous data sources with even heterogeneous semantic meanings poses a challenge for data and system integrators. Ontology Alignment (OA) tries to identif...
Thomas Moser, Kathrin Schimper, Richard Mordinyi, ...
Abstract. Ecologists spend considerable effort integrating heterogeneous data for statistical analyses and simulations, for example, to run and test predictive models. Our research...
: For the integration of data that resides in autonomous data sources Software AG uses ontologies. Data source ontologies describe the data sources themselves. Business ontologies ...
In today's IT-centric, regulated and competitive environment, businesses rely more heavily on IT technologies. Organizations are often challenged by customers, business partn...
Alfred Ka Yiu Wong, Nandan Paramesh, Pradeep Kumar...
In this paper we propose an ontology matching paradigm based on the idea of harvesting the Semantic Web, i.e., automatically finding and exploring multiple and heterogeneous online...