Rémy Choquet

Semantic interoperability challenges to process large amount of data perspectives in forensic and legal medicine

This article is a position paper dealing with semantic interoperability challenges. It addresses the Variety and Veracity dimensions when integrating, sharing and reusing large amount of heterogeneous data for data analysis and decision making applications in the healthcare domain. Many issues are raised by the necessity to conform Big Data to interoperability standards. We discuss how semantics can contribute to the improvement of information sharing and address the problem of data mediation with domain ontologies. We then introduce the main steps for building domain ontologies as they could be implemented in the context of Forensic and Legal medicine. We conclude with a particular emphasis on the current limitations in standardisation and the importance of knowledge formalization.

Solutions d'interopérabilité sémantique pour la surveillance de l'antibioresistance en Europe

This article deals with the problematic of biomedical information sharing in the study of antibioresistance growth in Europe. Our general working hypothesis is: how can we share biomedical information in Europe in a non ambiguous way, in a fast way, and on demand? Many issues are raised by this working hypothesis: the issue of the quality of the data, the issue of the representation of data through structure, vocabulary, and semantics. We also address the problem of alignment of data with domain ontologies and the problem of data mediation using domain ontologies. We then present a system of semantic interoperability based on rules addressing the problem of semantic alignment of heterogeneous systems applied to our domain. Finally we discuss how semantics can contribute to the improvement of information sharing and we also discuss the limits of the current tools and methods. Titre&→&TNR&18& Gras,&bordure&¼&a& 20pts&au9dessus& 18&apres&s’il&y&a&un& sous9titre,& 24&apres&s’il&n’y&a& pas&de&sous9titre&

Integration of biomedical data using federated databases

The expansion of biomedical knowledge, reduction in computing costs and spread of IT facilities have conducted to an escalation of the biomedical electronic data. However, these data are rarely integrated and analysed because of the insufficiency of specialised tools. This paper presents a pilot system that will be used in the European FP7 DebugIT project to integrate biomedical data from several healthcare centres across Europe. The system aims at solving complex problems derived from the technical and semantic heterogeneity intrinsic to these kinds of data sources as well as from the absence of reliability of the distributed system.