Linking Data in the Insurance Sector: A Case Study - Artificial Intelligence Applications and Innovations (AIAI 2014 - Workshops:CoPA,MHDW, IIVC, and MT4BD) Access content directly
Conference Papers Year : 2014

Linking Data in the Insurance Sector: A Case Study

Katerina Kalou
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Dimitrios Koutsomitropoulos
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Enterprise data model (EDM) has been designated as a well-established approach in order to define a common way for communication and interoperability within an organization and across the industry. In recent years, business areas can also profit by the concept of Big Data, thus achieving effective management of massive amount of data. In this paper, we propose an example of how a data model can be enriched with the power of semantic web technologies, by converting it into an ontology. In this way, the data within the enterprise can be efficiently integrated into the Linked Open Data (LOD) cloud. The ultimate aim of this attempt is to set the infrastructure for exploring and linking Big Data in order to derive new value by exploiting Linked Data. We have selected to work on the insurance sector and apply the aforementioned ideas to the Property and Casualty data model, proposed by OMG.
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hal-01391059 , version 1 (02-11-2016)


Attribution - CC BY 4.0



Katerina Kalou, Dimitrios Koutsomitropoulos. Linking Data in the Insurance Sector: A Case Study. 10th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2014, Rhodes, Greece. pp.320-329, ⟨10.1007/978-3-662-44722-2_34⟩. ⟨hal-01391059⟩
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