1. Carlos Bobed, Pierre Maillot, Peggy Cellier, and Sébastien Ferré. Data-driven Assessment of Structural Evolution of RDF Graphs. Semantic Web: Interoperability, Usability, Applicability, 11:831-853, 2020. [WWW] Keyword(s): semantic web, data mining, data quality, data evolution, data-driven approach, MDL principle. [Abstract] [bibtex-entry]



2. Romaric Marcilly, Laura Douze, Sébastien Ferré, Bissan Audeh, Carlos Bobed, Agnès Lillo-Le-Louët, Jean-Baptiste Lamy, and Cédric Bousquet. How to interact with medical terminologies? Formative usability evaluations comparing three approaches for supporting the use of MedDRA by pharmacovigilance specialists. BMC Medical Informatics and Decision Making, 20(261), 2020. [WWW] [doi:https://doi.org/10.1186/s12911-020-01280-1] [bibtex-entry]

1. Carlos Bobed, Laura Douze, Sébastien Ferré, and Romaric Marcilly. PEGASE: A Knowledge Graph for Search and Exploration in Pharmacovigilance Data. In P. Cimiano and O. Corby, editors, EKAW Posters and Demonstrations, volume 2262 of CEUR Workshop Proceedings, pages 33-36, 2018. [WWW] [PDF] Keyword(s): PEGASE, Sparklis, knowledge graph. [Abstract] [bibtex-entry]



2. Carlos Bobed, Laura Douze, Sébastien Ferré, and Romaric Marcilly. Sparklis over PEGASE knowledge graph: a new tool for pharmacovigilance. In A. Waagmeester, C. J. O. Baker, A. Splendiani, O. Deniz Beyan, and M. Scott Marshall, editors, Int. Conf. Semantic Web Applications and Tools for Life Sciences (SWAT4LS), volume 2275 of CEUR Workshop Proceedings, 2018. [WWW] [PDF] Keyword(s): PEGASE, Sparklis, knowledge graph. [Abstract] [bibtex-entry]



3. Pierre Maillot and Carlos Bobed. Measuring Structural Similarity Between RDF Graphs. In Proc. of the 33rd ACM/SIGAPP Symposium On Applied Computing (SAC 2018), SWA track, Pau (France), April 2018. ACM. [bibtex-entry]

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