Semantic modelling of user interests based on cross-folksonomy analysis
Semantic modelling of user interests based on cross-folksonomy analysis
The continued increase in Web usage, in particular participation in folksonomies, reveals a trend towards a more dynamic and interactive Web where individuals can organise and share resources. Tagging has emerged as the de-facto standard for the organisation of such resources, providing a versatile and reactive knowledge management mechanism that users find easy to use and understand. It is common nowadays for users to have multiple profiles in various folksonomies, thus distributing their tagging activities. In this paper, we present a method for the automatic consolidation of user profiles across two popular social networking sites, and subsequent semantic modelling of their interests utilising Wikipedia as a multi-domain model. We evaluate how much can be learned from such sites, and in which domains the knowledge acquired is focussed. Results show that far richer interest profiles can be generated for users when multiple tag-clouds are combined
978-3-540-88563-4
632-648
Szomszor, Martin
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Alani, Harith
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Cantador, Ivan
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O'Hara, Kieron
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Shadbolt, Nigel
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26 October 2008
Szomszor, Martin
c797d2c4-7fd3-45f5-9aa6-474faf550786
Alani, Harith
70cdbdce-1494-44c2-9dae-65d82bf7e991
Cantador, Ivan
acd893cb-7f2b-46d7-970f-20b105ee9c2d
O'Hara, Kieron
0a64a4b1-efb5-45d1-a4c2-77783f18f0c4
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Szomszor, Martin, Alani, Harith, Cantador, Ivan, O'Hara, Kieron and Shadbolt, Nigel
(2008)
Semantic modelling of user interests based on cross-folksonomy analysis.
7th International Semantic Web Conference (ISWC), Karlsruhe, Germany.
26 - 30 Oct 2008.
.
(doi:10.1007/978-3-540-88564-1_40).
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Conference or Workshop Item
(Paper)
Abstract
The continued increase in Web usage, in particular participation in folksonomies, reveals a trend towards a more dynamic and interactive Web where individuals can organise and share resources. Tagging has emerged as the de-facto standard for the organisation of such resources, providing a versatile and reactive knowledge management mechanism that users find easy to use and understand. It is common nowadays for users to have multiple profiles in various folksonomies, thus distributing their tagging activities. In this paper, we present a method for the automatic consolidation of user profiles across two popular social networking sites, and subsequent semantic modelling of their interests utilising Wikipedia as a multi-domain model. We evaluate how much can be learned from such sites, and in which domains the knowledge acquired is focussed. Results show that far richer interest profiles can be generated for users when multiple tag-clouds are combined
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szomszor_ISWC2008.pdf
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Published date: 26 October 2008
Venue - Dates:
7th International Semantic Web Conference (ISWC), Karlsruhe, Germany, 2008-10-26 - 2008-10-30
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 266551
URI: http://eprints.soton.ac.uk/id/eprint/266551
ISBN: 978-3-540-88563-4
PURE UUID: 9af72b5f-2c3b-422e-a671-23849ee88a19
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Date deposited: 08 Aug 2008 13:15
Last modified: 15 Mar 2024 03:09
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Contributors
Author:
Martin Szomszor
Author:
Harith Alani
Author:
Ivan Cantador
Author:
Nigel Shadbolt
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