Publication
RDF Spreadsheet Editor: Get (G)rid of Your RDF Data Entry Problems
Markus Schröder; Christian Jilek; Jörn Hees; Sven Hertling; Andreas Dengel
In: Nadeschda Nikitina; Dezhao Song (Hrsg.). Posters & Demonstrations Track. International Semantic Web Conference (ISWC-2017), October 21-25, Vienna, Austria, CEUR, 2017.
Abstract
Spreadsheets are widely used by knowledge workers, especially
in the industrial sector. Their methodology enables a well understood,
easy and fast possibility to enter data. As filling out a spreadsheet is more
accessible to common knowledge workers than defining RDF statements,
in this paper, we present a tool which uses the spreadsheet metaphor to
enable various kinds of users to easily create RDF data whether they
are RDF experts or novices. Our approach aims at supporting users in
manually filling a knowledge base with their expertise. This is usually a
collaborative process involving a team of domain experts and knowledge
engineers. To immediately see modelling consequences and updates by
others, each entry is simultaneously transferred into triple statements.
Projekte
Managed Forgetting - Sustaining Grass-roots Organizational Memories: Foundations and Methods of Managed Forgetting for Knowledge Workers,
PRO-OPT - PRO-OPT - Big Data in Smart Ecosystems,
CoMem - Corporate Memory
PRO-OPT - PRO-OPT - Big Data in Smart Ecosystems,
CoMem - Corporate Memory