"We call on a 'million minds' to annotate a 'million concepts' and to collect facts from the literature with the reward of collaborative knowledge discovery. The system is available for beta testing at wikiprofessional.org" [DOI 10.1186/gb-2008-9-5-r89]The author list is impressive (e.g. Jimmy, Prof. Ashburner), as well is the number of communities and organizations (PubMed, Google, Yahoo, UniProt). Of course is this not a guarantee for success, but at least is it interesting that those people have started talking to each other. I guess they all want to tacke a challenging scientific problem, which is creating knowledge out of information noise. Very impressive, indeed!
I created an account and the system looks very beta at the moment. This early release strategy is very normal, at least for Jimmy, which follows the release soon, release often paradigm of open source communities. When Jimmy released Wikia, he got also some negative feedback, because some people thought it was too early releasing the system. Anyway, this has not stopped us from founding the Life Science Group on Wikia, though I admit that not too many people have contributed so far. I hope that the WikiProfessional system will be able collecting enough critical brain mass for getting a good head-start.
"The first release of WikiProteins contains an embryonic version of what is intended to be developed into a fully functional WikiProfessionals in 2008 and beyond. Users are able to review their pre-constructed (recent) publication list and create their Knowlet before registration. With an increasing number of authors having curated their own Knowlet(s) in the system, creating communities of expertise and indicating their availability for comments and peer review, instant messaging and web conferencing will become available in the system." [DOI 10.1186/gb-2008-9-5-r89]The system highlights three major use cases:
- Community annotation: The basic principle of community annotation is that computers and experts interact in an iterative process of mining and curation.
- Knowledge browsing: This will allow users browsing through the concept space of interesting relationships.
- Collaborative knowledge discovery (example): When the connections in the concept space around antimalarials and tegafur are explored further, it becomes immediately obvious how logical it would be to reason that tegafur might indeed inhibit growth of malaria parasites, at least in vitro.
Reference
- Article (macmwdomchmpplbmbwmmrbb08)
Mons, B.; Ashburner, M.; Chichester, C.; van Mulligen, E.; Weeber, M.; den Dunnen, J.; van Ommen, G.; Musen, M.; Cockerill, M.; Hermjakob, H.; Mons, A.; Packer, A.; Pacheco, R.; Lewis, S.; Berkeley, A.; Melton, W.; Barris, N.; Wales, J.; Meijssen, G.; Moeller, E.; Roes, P.; Borner, K. & Bairoch, A.
Calling on a million minds for community annotation in WikiProteins
Genome Biol, 2008, 9, R89. DOI 10.1186/gb-2008-9-5-r89. PMID 18507872 - Six degrees of drug design, Mining Drug Space, 2007-08-17.
- Six sigma in drug design, Mining Drug Space, 2007-09-15.
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Anyone interested in this might also have read the Nascent post, and might be interested in this literature service development job, too. Actually, this is an interesting topic, especially for people which like literature management or in general information management.
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