SemUNIT - French UNT and Linked Data

Yoann Isaac (1) , Yolaine Bourda (1) , Monique Grandbastien (2, 3)

1 E3S - Supélec Sciences des Systèmes
2 LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
3 UHP - Université Henri Poincaré - Nancy 1

Over the past 15 years, the explosion in the number of learn- ing materials available on the Web has raised the problem of their sharing. For several years, learning resources are anno- tated with metadata to ease this sharing. On the other hand, Semantic Web and Linked Data approach provide tools to publish metadata in a standardized way, allowing data to be shared and reused across applications, enterprises, and community boundaries. In this paper, we describe the SemUnit project, initiated by french higher education institutions. This project aims at taking advantages of Semantic Web and Linked Data to improve e-learning services for a wide set of french higher education institutions. We present, rstly, the ontology de- signed to support the project: an OWL ontology taking into account the semantics of LOM elements. Afterwards, we present our architecture and some semantic services

Keywords: E-learning; Linked Data; Semantic Web; ontology for learning resources

Domains: Artificial Intelligence [cs.AI]

Yoann Isaac, Yolaine Bourda, Monique Grandbastien. SemUNIT - French UNT and Linked Data. LiLe-2012 at WWW-2012, Apr 2012, Lyon, France. 6 p. ⟨hal-00701152⟩