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

Marie-Christine Jaulent; Damien Leprovost; Jean Charlet; Remy Choquet

doi:10.1016/j.jflm.2016.10.002

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

J Forensic Leg Med. 2018 Jul:57:19-23. doi: 10.1016/j.jflm.2016.10.002. Epub 2016 Oct 10.

Authors

Marie-Christine Jaulent¹, Damien Leprovost², Jean Charlet³, Remy Choquet⁴

Affiliations

¹ INSERM, U1142, LIMICS, F-75006, Paris, France; Sorbonne Universités, UPMC Université Paris 06, UMR_S 1142, LIMICS, F-75006, Paris, France; Université Paris 13, Sorbonne Paris Cité, UMR_S 1142, LIMICS, F-93430, Villetaneuse, France. Electronic address: marie-christine.jaulent@inserm.fr.
² INSERM, U1142, LIMICS, F-75006, Paris, France; Sorbonne Universités, UPMC Université Paris 06, UMR_S 1142, LIMICS, F-75006, Paris, France; Université Paris 13, Sorbonne Paris Cité, UMR_S 1142, LIMICS, F-93430, Villetaneuse, France.
³ INSERM, U1142, LIMICS, F-75006, Paris, France; Sorbonne Universités, UPMC Université Paris 06, UMR_S 1142, LIMICS, F-75006, Paris, France; Université Paris 13, Sorbonne Paris Cité, UMR_S 1142, LIMICS, F-93430, Villetaneuse, France; AP-HP, Assistance Publique Hôpitaux de Paris, Paris, France.
⁴ INSERM, U1142, LIMICS, F-75006, Paris, France; Sorbonne Universités, UPMC Université Paris 06, UMR_S 1142, LIMICS, F-75006, Paris, France; Université Paris 13, Sorbonne Paris Cité, UMR_S 1142, LIMICS, F-93430, Villetaneuse, France; BNDMR, Assistance Publique Hôpitaux de Paris, Hôpital Necker Enfants Malades, Paris, France.

PMID: 29801946
DOI: 10.1016/j.jflm.2016.10.002

Abstract

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.

Keywords: Forensic science; Knowledge engineering; Ontology; Semantic interoperability; Variety in big data.

MeSH terms

Data Mining*
Datasets as Topic*
Forensic Sciences
Humans
Semantics*
Terminology as Topic*