Enhancing scientific information systems with semantic annotations

Eric Leclercq (1) , Marinette Savonnet (2)

1 SISI
2 Le2i - Laboratoire Electronique, Informatique et Image [UMR6306]

Scientific Information Systems aim to produce or improve knowledge on a subject through activities of research and development. The management of scientific dat a requires some essential properties. We propose SemLab an architecture that sup ports interoperability, data quality and extensibility through a unique paradigm: semantic annotation. We present two app lications that validate our architecture.

Domaines: Base de données [cs.DB]; Intelligence artificielle [cs.AI]; Web

Eric Leclercq, Marinette Savonnet. Enhancing scientific information systems with semantic annotations. ACM Symposium on Applied Computing (SAC), Apr 2013, Combria, Portugal. pp.319-324. ⟨hal-00868823⟩