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Nested Forms with Dynamic Suggestions for Quality RDF Authoring

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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, such as forms, 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 completely 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.
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Dates and versions

hal-01731124 , version 1 (13-03-2018)

Identifiers

  • HAL Id : hal-01731124 , version 1

Cite

Pierre Maillot, Sébastien Ferré, Peggy Cellier, Mireille Ducassé, Franck Partouche. Nested Forms with Dynamic Suggestions for Quality RDF Authoring. International Conference on Database and Expert Systems Applications (DEXA), Aug 2017, Lyon, France. ⟨hal-01731124⟩
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