Abstract : 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.
https://hal-univ-bourgogne.archives-ouvertes.fr/hal-00868823
Contributeur : Eric Leclercq <>
Soumis le : mercredi 2 octobre 2013 - 06:13:15
Dernière modification le : lundi 13 octobre 2014 - 15:43:25
Document(s) archivé(s) le : vendredi 7 avril 2017 - 05:06:44
Eric Leclercq, Marinette Savonnet. Enhancing scientific information systems with semantic annotations. ACM Symposium on Applied Computing (SAC), Apr 2013, Combria, Portugal. pp.319-324, 2013. <hal-00868823>
