Connecting the dots: a multi-pivot approach to data exploration
Connecting the dots: a multi-pivot approach to data exploration
The purpose of data browsers is to help users identify and query data effectively without being overwhelmed by large complex graphs of data. A proposed solution to identify and query data in graph-based datasets is Pivoting (or set-oriented browsing), a many-to-many graph browsing technique that allows users to navigate the graph by starting from a set of instances followed by navigation through common links. Relying solely on navigation, however, makes it difficult for users to find paths or even see if the element of interest is in the graph when the points of interest may be many vertices apart. Further challenges include finding paths which require combinations of forward and backward links in order to make the necessary connections which further adds to the complexity of pivoting. In order to mitigate the effects of these problems and enhance the strengths of pivoting we present a multi-pivot approach which we embodied in tool called Visor. Visor allows users to explore from multiple points in the graph, helping users connect key points of interest in the graph on the conceptual level, visually occluding the remainder parts of the graph, thus helping create a road-map for navigation. We carried out an user study to demonstrate the viability of our approach.
linked data, interaction, pivoting
Popov, Igor
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schraefel, monica
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Hall, Wendy
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Shadbolt, Nigel
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23 October 2011
Popov, Igor
517af6d0-e80b-45fd-89ef-9da71a09bd6f
schraefel, monica
ac304659-1692-47f6-b892-15113b8c929f
Hall, Wendy
11f7f8db-854c-4481-b1ae-721a51d8790c
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Popov, Igor, schraefel, monica, Hall, Wendy and Shadbolt, Nigel
(2011)
Connecting the dots: a multi-pivot approach to data exploration.
International Semantic Web Conference, , Bonn, Germany.
23 - 27 Oct 2011.
Record type:
Conference or Workshop Item
(Paper)
Abstract
The purpose of data browsers is to help users identify and query data effectively without being overwhelmed by large complex graphs of data. A proposed solution to identify and query data in graph-based datasets is Pivoting (or set-oriented browsing), a many-to-many graph browsing technique that allows users to navigate the graph by starting from a set of instances followed by navigation through common links. Relying solely on navigation, however, makes it difficult for users to find paths or even see if the element of interest is in the graph when the points of interest may be many vertices apart. Further challenges include finding paths which require combinations of forward and backward links in order to make the necessary connections which further adds to the complexity of pivoting. In order to mitigate the effects of these problems and enhance the strengths of pivoting we present a multi-pivot approach which we embodied in tool called Visor. Visor allows users to explore from multiple points in the graph, helping users connect key points of interest in the graph on the conceptual level, visually occluding the remainder parts of the graph, thus helping create a road-map for navigation. We carried out an user study to demonstrate the viability of our approach.
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multipivot.pdf
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More information
Published date: 23 October 2011
Venue - Dates:
International Semantic Web Conference, , Bonn, Germany, 2011-10-23 - 2011-10-27
Keywords:
linked data, interaction, pivoting
Organisations:
Web & Internet Science, Agents, Interactions & Complexity
Identifiers
Local EPrints ID: 272784
URI: http://eprints.soton.ac.uk/id/eprint/272784
PURE UUID: b382da3b-af3e-46a3-a3e9-451033a4e114
Catalogue record
Date deposited: 16 Sep 2011 15:08
Last modified: 15 Mar 2024 03:16
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Contributors
Author:
Igor Popov
Author:
monica schraefel
Author:
Nigel Shadbolt
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