White Rose University Consortium logo
University of Leeds logo University of Sheffield logo York University logo

Multi Visualization and Dynamic Query for Effective Exploration of Semantic Data

Petrelli, D., Mazumdar, S., Dadzie, A-S. and Ciravegna, F. (2009) Multi Visualization and Dynamic Query for Effective Exploration of Semantic Data. In: Bernstein, A., Karger, D.R., Heath, T., Feigenbaum, L., Maynard, D., Motta, E. and Thirunarayan, K., (eds.) The Semantic Web - ISWC 2009. 8th International Semantic Web Conference, 25-29 October 2009, Washington, DC, USA. Lecture Notes in Computer Science (5823). Springer-Verlag , pp. 505-520. ISBN 978-3-642-04929-3

Full text available as:
[img]
Preview
Text
ISWC09-print[1].pdf

Download (1060Kb)

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: Proceedings Paper
Copyright, Publisher and Additional Information: © Springer-Verlag Berlin Heidelberg 2009. This is an author produced version of a paper published in 'The Semantic Web - ISWC 2009'. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Semantic Web, semantic multimedia data, graphical visualization, user interaction
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield)
Depositing User: dr. Daniela Petrelli
Date Deposited: 04 Dec 2009 15:15
Last Modified: 08 Feb 2013 16:59
Published Version: http://dx.doi.org/10.1007/978-3-642-04930-9_32
Status: Published
Publisher: Springer-Verlag
Refereed: Yes
Identification Number: 10.1007/978-3-642-04930-9_32
URI: http://eprints.whiterose.ac.uk/id/eprint/9932

Actions (login required)

View Item View Item