Calling on a million minds for community annotation in WikiProteins

被引：92

作者：

Mons, Barend ^{[1
,2
,3
,4
]}

Ashburner, Michael ^{[5
,6
]}

Chichester, Christine ^{[2
,3
,8
,9
]}

van Mulligen, Erik ^{[1
,3
]}

Weeber, Marc ^{[3
]}

den Dunnen, Johan ^{[2
]}

van Ommen, Gert-Jan ^{[2
]}

Musen, Mark ^{[10
]}

Cockerill, Matthew ^{[11
]}

Hermjakob, Henning

Mons, Albert ^{[3
]}

Packer, Abel ^{[12
]}

Pacheco, Roberto ^{[13
]}

Lewis, Suzanna ^{[5
,6
]}

Berkeley, Alfred ^{[3
]}

Melton, William ^{[3
]}

Barris, Nickolas ^{[3
]}

Wales, Jimmy

Meijssen, Gerard ^{[4
]}

Moeller, Erik ^{[4
]}

Roes, Peter Jan ^{[3
]}

Borner, Katy ^{[7
,14
,15
]}

Bairoch, Amos ^{[8
,9
]}

机构：

[1] Erasmus MC, Dept Med Informat, NL-3015 GE Rotterdam, Netherlands

[2] Leiden Univ, Med Ctr, Ctr Med Syst Biol, Dept Human Genet, NL-2333 ZC Leiden, Netherlands

[3] Knewco Inc, Rockville, MD 20850 USA

[4] Open Progress Educ, NL-1315 BH AlmereAlmere, Netherlands

[5] EMBL European Bioinformat Inst, GO Consortium, Cambridge CB10 1SD, England

[6] Univ Cambridge, Dept Genet, Hinxton CB10 1SD, England

[7] Univ Calif Berkeley, Lawrence Berkeley Lab, Berkeley Bioinformat Open Source Projects, Berkeley, CA 94720 USA

[8] Univ Geneva, Swiss Prot Grp, Swiss Inst Bioinformat, CH-1211 Geneva 4, Switzerland

[9] Univ Geneva, Dept Struct Biol & Bioinformat, CH-1211 Geneva 4, Switzerland

[10] NCBO, Stanford Med Informat, Stanford, CA 94305 USA

[11] BioMed Cent, London W1T 4LB, England

[12] BIREME PAHO WHO, SciELO, BR-04023901 Sao Paulo, Brazil

[13] Ist Stela, BR-88034050 Florianopolis, SC, Brazil

[14] WikiMedia Fdn, San Francisco, CA 94107 USA

[15] Indiana Univ, Bloomington, IN 47405 USA

来源：

GENOME BIOLOGY | 2008年 / 9卷 / 05期

关键词：

D O I：

10.1186/gb-2008-9-5-r89

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

WikiProteins enables community annotation in a Wiki-based system. Extracts of major data sources have been fused into an editable environment that links out to the original sources. Data from community edits create automatic copies of the original data. Semantic technology captures concepts co-occurring in one sentence and thus potential factual statements. In addition, indirect associations between concepts have been calculated. 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 http://www.wikiprofessional.org. A preview of the version highlighted by WikiProfessional is available at: http://conceptweblinker.wikiprofessional.org/default.py?url=nph-proxy.cgi/010000A/http/genomebiology.com/2008/9/5/R89.

引用

页数：15

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