Visualising the Past: Annotating a Life with Linked Open Data
Visualising the Past: Annotating a Life with Linked Open Data
This paper introduces a novel lifelogging system. The novelty of our system is that it uses open linked data to reduce the burden on the user to an absolute minimum by combining the user's private logs with data obtained automatically from the web. This in turn is annotated with data generated by the latest version of the author's portable 'life annotation' software to generate a detailed, interactive, user-friendly visual representation of the user's life experiences with little or no manual work required. This paper covers several key parts of the system that make it work. Specifically, the analysis of linked data, entity comparison with known objects and events from the user's own logs in order to determine relevance, and careful annotation of the user's data ensuring that the data's provenance is stored alongside the annotations generated.
lifelogging, open linked data, data mining, data fusion, provenance, privacy
Smith, Ashley
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O'Hara, Kieron
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Lewis, Paul
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June 2011
Smith, Ashley
b96e38f2-1252-4762-949e-d69da182b80d
O'Hara, Kieron
0a64a4b1-efb5-45d1-a4c2-77783f18f0c4
Lewis, Paul
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
Smith, Ashley, O'Hara, Kieron and Lewis, Paul
(2011)
Visualising the Past: Annotating a Life with Linked Open Data.
ACM Web Science Conference 2011, , Koblenz, Germany.
14 - 17 Jun 2011.
Record type:
Conference or Workshop Item
(Paper)
Abstract
This paper introduces a novel lifelogging system. The novelty of our system is that it uses open linked data to reduce the burden on the user to an absolute minimum by combining the user's private logs with data obtained automatically from the web. This in turn is annotated with data generated by the latest version of the author's portable 'life annotation' software to generate a detailed, interactive, user-friendly visual representation of the user's life experiences with little or no manual work required. This paper covers several key parts of the system that make it work. Specifically, the analysis of linked data, entity comparison with known objects and events from the user's own logs in order to determine relevance, and careful annotation of the user's data ensuring that the data's provenance is stored alongside the annotations generated.
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websci11final.pdf
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Published date: June 2011
Additional Information:
Event Dates: June 14th-17th 2011
Venue - Dates:
ACM Web Science Conference 2011, , Koblenz, Germany, 2011-06-14 - 2011-06-17
Keywords:
lifelogging, open linked data, data mining, data fusion, provenance, privacy
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 272324
URI: http://eprints.soton.ac.uk/id/eprint/272324
PURE UUID: 9abe6b49-50aa-47d2-bd8c-893e84b9f7b5
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Date deposited: 24 May 2011 15:13
Last modified: 15 Mar 2024 03:31
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Contributors
Author:
Paul Lewis
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