Linking Data in the Insurance Sector: A Case Study

Abstract : 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.
Type de document :
Communication dans un congrès
Lazaros Iliadis; Ilias Maglogiannis; Harris Papadopoulos; Spyros Sioutas; Christos Makris. 10th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2014, Rhodes, Greece. Springer, IFIP Advances in Information and Communication Technology, AICT-437, pp.320-329, 2014, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-662-44722-2_34〉
Liste complète des métadonnées

Littérature citée [11 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01391059
Contributeur : Hal Ifip <>
Soumis le : mercredi 2 novembre 2016 - 17:20:01
Dernière modification le : mardi 26 décembre 2017 - 16:38:01
Document(s) archivé(s) le : vendredi 3 février 2017 - 15:53:46

Fichier

978-3-662-44722-2_34_Chapter.p...
Fichiers produits par l'(les) auteur(s)

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

Katerina Kalou, Dimitrios Koutsomitropoulos. Linking Data in the Insurance Sector: A Case Study. Lazaros Iliadis; Ilias Maglogiannis; Harris Papadopoulos; Spyros Sioutas; Christos Makris. 10th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2014, Rhodes, Greece. Springer, IFIP Advances in Information and Communication Technology, AICT-437, pp.320-329, 2014, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-662-44722-2_34〉. 〈hal-01391059〉

Partager

Métriques

Consultations de la notice

81

Téléchargements de fichiers

37