The most recent version of this document (v2) was posted on 2007 September 24.
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Bridging the gap between social tagging and semantic annotation: E.D. the Entity Describer
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- The James Hogg iCAPTURE Centre for Cardiovascular and Pulmonary Research, Providence Health Care/University of British Columbia
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- Document Type:
- Manuscript
- Date:
- Received 07 September 2007 17:14 UTC; Posted 07 September 2007
- Subjects:
- Bioinformatics
- Abstract:
Semantic annotation enables the development of efficient computational methods for analyzing and interacting with information, thus maximizing its value. With the already substantial and constantly expanding data generation capacity of the life sciences as well as the concomitant increase in the knowledge distributed in scientific articles, new ways to produce semantic annotations of this information are crucial. While automated techniques certainly facilitate the process, manual annotation remains the gold standard in most domains. In this manuscript, we describe a prototype mass-collaborative semantic annotation system that, by distributing the annotation workload across the broad community of biomedical researchers, may help to produce the volume of meaningful annotations needed by modern biomedical science. We present E.D., the Entity Describer, a mashup of the Connotea social tagging system, an index of semantic web-accessible controlled vocabularies, and a new public RDF database for storing social semantic annotations.
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- This document is licensed to the public under the Creative Commons Attribution 2.5 License
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Good, Benjamin, Kawas, Edward, and Wilkinson, Mark. Bridging the gap between social tagging and semantic annotation: E.D. the Entity Describer. Available from Nature Precedings <http://hdl.handle.net/10101/npre.2007.945.1> (2007)
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Other versions of this document in Nature Precedings
Version number Document title Date v2 Posted 24 September 2007 Other versions of this document elsewhere on the web
Benjamin Good on 08 September 2007 02:20 UTC
OK, I’ve had some good feedback so far on the original posting of this manuscript. What I haven’t had much of is negative (constructive!) commentary. I know there are plenty of people that aren’t going to like this paper in its current form, so lets hear why!!