Multi Visualisation and Dynamic Query for Effective Exploration of Semantic Data

Presented at: 8th International Semantic Web Conference (ISWC2009)

by Daniela Petrelli, Suvodeep Mazumdar, Aba-Sah Dadzie, Fabio Ciravegna

Webpage: http://data.semanticweb.org/pdfs/iswc/2009/paper335.pdf
Webpage: http://dx.doi.org/10.1007/978-3-642-04930-9_32
Webpage: http://www.springerlink.com/content/01r8243g12360428

Semantic formalisms represent content in a uniform way according to ontologies. This enables manipulation and reasoning via automated means (e.g. Semantic Web services), but limits the user’s ability to explore the semantic data from a point of view that originates from knowledge representation motivations. We show how, for user consumption, a visualization of semantic data according to some easily graspable dimensions (e.g. space and time) provides effective sense-making of data. In this paper, we look holistically at the interaction between users and semantic data, and propose multiple visualization strategies and dynamic filters to support the exploration of semantic-rich data. We discuss a user evaluation and how interaction challenges could be overcome to create an effective user-centred framework for the visualization and manipulation of semantic data. The approach has been implemented and evaluated on a real company archive.

Multi Visualisation and Dynamic Query for Effective Exploration of Semantic Data was presented at this event.

Keywords: Semantic Web


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