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Tagsty: augmented knowledge from community-based annotations on protein sequences

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Published:07 December 2011Publication History

ABSTRACT

We have reviewed different approaches on community-based annotation on protein and gene sequences, mainly relying on the wiki paradigms. Currently such approaches are not fully exploiting the social component that naturally emerges within communities. We propose a model, namely Tagsty, that enables a community to semantically annotate protein sequences while benefit from the emerged social network. We argue that such environment lowers the barriers on extracting semantic content from social platforms, enables users to share new content, and facilitates knowledge discovery. We also present an architecture supporting our proposal.

References

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        • Published in

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          SWAT4LS '11: Proceedings of the 4th International Workshop on Semantic Web Applications and Tools for the Life Sciences
          December 2011
          139 pages
          ISBN:9781450310765
          DOI:10.1145/2166896

          Copyright © 2011 Copyright is held by the owner/author(s)

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          Publication History

          • Published: 7 December 2011

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