FORMULIS: Dynamic Form-Based Interface For Guided Knowledge Graph Authoring

Pierre Maillot (1, 2, 3) , Sébastien Ferré (3, 1, 2) , Peggy Cellier (3, 1, 4) , Mireille Ducassé (3, 1, 4) , Franck Partouche (5)

1 IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires
2 UR - Université de Rennes
3 LIS - Logical Information Systems
4 INSA Rennes - Institut National des Sciences Appliquées - Rennes
5 IRCGN - Institut de Recherche Criminelle de la Gendarmerie Nationale (IRCGN)

Knowledge acquisition is a central issue of the Semantic Web. Knowledge cannot always be automatically extracted from existing data, thus contributors have to make efforts to create new data. In this paper , we propose FORMULIS, a dynamic form-based interface designed to make RDF data authoring easier. FORMULIS guides contributors through the creation of RDF data by suggesting fields and values according to the previously filled fields and the previously created resources.

Domaines: Intelligence artificielle [cs.AI]; Interface homme-machine [cs.HC]; Théorie de l'information [cs.IT]; Web

Pierre Maillot, Sébastien Ferré, Peggy Cellier, Mireille Ducassé, Franck Partouche. FORMULIS: Dynamic Form-Based Interface For Guided Knowledge Graph Authoring. International Conference on Knowledge Engineering and Knowledge Management, Oct 2016, Bologne, France. ⟨hal-01443319⟩