header

Domain-Specific Summarisation of Life-Science E-Experiments from Provenance Traces

12 Pages Posted: 27 Jun 2018 First Look: Accepted

See all articles by Alban Gaignarda

Alban Gaignarda

Université de Nice Sophia Antipolis - MODALIS team

Johan Montagnatat

Université de Nice Sophia Antipolis - MODALIS team

Bernard Gibaud

Université de Rennes 1

Germain Forestier

Université de Haute Alsace

Tristan Glatard

University of Lyon 1 - INSA-Lyon CREATIS

Abstract

Translational research in Life-Science nowadays leverages e-Science platforms to analyse and produce huge amounts of data. With the unprecedented growth of Life-Science data repositories, identifying relevant data for analysis becomes increasingly difficult. The instrumentation of e-Science platforms with provenance tracking techniques provide useful information from a data analysis process design or debugging perspective. However raw provenance traces are too massive and too generic to facilitate the scientific interpretation of data. In this paper, we propose an integrated approach in which Life-Science knowledge is (i) captured through domain ontologies and linked to Life-Science data analysis tools, and (ii) propagated through rules to produced data, in order to constitute human-tractable experiment summaries. Our approach has been implemented in the Virtual Imaging Platform and experimental results show the feasibility of producing few domain-specific statements which opens new data sharing and repurposing opportunities in line with Linked Data initiatives.

Suggested Citation

Gaignarda, Alban and Montagnatat, Johan and Gibaud, Bernard and Forestier, Germain and Glatard, Tristan, Domain-Specific Summarisation of Life-Science E-Experiments from Provenance Traces (2014). Journal of Web Semantics First Look. Available at SSRN: https://ssrn.com/abstract=3199114 or http://dx.doi.org/10.2139/ssrn.3199114

Alban Gaignarda (Contact Author)

Université de Nice Sophia Antipolis - MODALIS team ( email )

250, rue Albert Einstein
B.P. 70
Sophia Antipolis, 06560
France

Johan Montagnatat

Université de Nice Sophia Antipolis - MODALIS team ( email )

250, rue Albert Einstein
B.P. 70
Sophia Antipolis, 06560
France

Bernard Gibaud

Université de Rennes 1 ( email )

11 Rue Jean Macé

Germain Forestier

Université de Haute Alsace ( email )

Rue des Frères Lumière
Mulhouse, 68093
France

Tristan Glatard

University of Lyon 1 - INSA-Lyon CREATIS ( email )

43 Bl du 11 novembre 1918
Lyon, Villeurbanne cedex 69622
France

Register to save articles to
your library

Register

Paper statistics

Abstract Views
121
Downloads
6