KartoGraphI: Drawing a Map of Linked Data

Pierre Maillot (1, 2) , Olivier Corby (3, 1, 2) , Catherine Faron (2, 1, 3) , Fabien Gandon (1, 3, 2) , Franck Michel (4)

1 WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics
2 I3S - Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis
3 CNRS - Centre National de la Recherche Scientifique
4 Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems

A large number of semantic Web knowledge bases have been developed and published on the Web. To help the user identify the knowledge bases relevant for a given problem, and estimate their usability, we propose a declarative indexing framework and an associated visualization Web application, KartoGraphI. It provides an overview of important characteristics for more than 400 knowledge bases including, for instance, dataset location, SPARQL compatibility level, shared vocabularies, etc.

Mots clés: linked data; semantic web

Domaines: Informatique [cs]; Base de données [cs.DB]; Web

Pierre Maillot, Olivier Corby, Catherine Faron, Fabien Gandon, Franck Michel. KartoGraphI: Drawing a Map of Linked Data. ESWC 2022 - 19th European Semantic Web Conferences, May 2022, Hersonissos, Greece. Springer. ⟨hal-03652865v2⟩