Multi visualization and dynamic query for effective exploration of semantic data

PETRELLI, Daniela, MAZUMDAR, Suvodeep, DADZIE, Aba-Sah and CIRAVEGNA, Fabio (2009). Multi visualization and dynamic query for effective exploration of semantic data. Lecture notes in computer science, 5823, 505-520.

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Abstract

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.

Item Type:	Article
Additional Information:	Paper presented at 8th International Semantic Web Conference, ISWC 2009, Chantilly, VA, USA, October 25-29, 2009. Awarded an Honourable Mention
Research Institute, Centre or Group - Does NOT include content added after October 2018:	Cultural Communication and Computing Research Institute > Art and Design Research Centre
Identification Number:	https://doi.org/10.1007/978-3-642-04930-9_32
Page Range:	505-520
Depositing User:	Daniela Petrelli
Date Deposited:	06 Jan 2011 14:30
Last Modified:	18 Mar 2021 04:02
URI:	https://shura.shu.ac.uk/id/eprint/2922

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