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Nested Forms with Dynamic Suggestions for Quality RDF Authoring

  • Pierre Maillot
  • Sébastien Ferré
  • Peggy Cellier
  • Mireille Ducassé
  • Franck Partouche
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10438)

Abstract

Knowledge acquisition is a central issue of the Semantic Web. Knowledge cannot always be automatically extracted from existing data, thus domain experts are required to manually produce it. On the one hand, learning formal languages such as RDF represents an important obstacle to non-IT experts. On the other hand, well-known data input interfaces do not address well the relational nature and flexibility of RDF. Furthermore, it is difficult to maintain data quality through time, and across contributors. We propose FORMULIS, a form-based interface for guided RDF authoring. It hides RDF notations, addresses the relational aspects with nested forms, and guides users by computing intelligent filling suggestions. Two user experiments show that FORMULIS helps users maintain good data quality, and can be used by users without Semantic Web knowledge.

Keywords

Knowledge acquisition Forms Dynamic suggestions Semantic Web 

Notes

Acknowledgement

This work is supported by ANR project IDFRAud (ANR-14-CE28-0012). We thank our partners of project IDFRAud, as well as the experts from IRCGN and the fourteen volunteers who participated in our experiments.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Pierre Maillot
    • 1
  • Sébastien Ferré
    • 1
  • Peggy Cellier
    • 2
  • Mireille Ducassé
    • 2
  • Franck Partouche
    • 3
  1. 1.IRISA/Université de Rennes 1RennesFrance
  2. 2.IRISA/INSA RennesRennesFrance
  3. 3.IRCGNCergyFrance

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