| Abstract
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Large knowledge bases integrating differen … Large knowledge bases integrating different domains can provide a foundation for new applications in biology such as data mining or automated reasoning. The traditional approach to the construction of such knowledge bases is manual and therefore extremely time consuming. The ubiquity of the internet now makes large-scale community collaboration for the construction of knowledge bases, such as the successful online encyclopedia “Wikipedia”, possible. We propose an extension of this model to the collaborative annotation of molecular data. We argue that a semantic wiki provides the functionality required for this project since this can capitalize on the existing representations in biological ontologies. We discuss the use of a different relationship model than the one provided by RDF and OWL to represent the semantic data. We argue that this leads to a more intuitive and correct way to enter semantic content in the wiki. Furthermore, we show how formal ontologies could be used to increase the usability of the software through type-checking and automatic reasoning.ugh type-checking and automatic reasoning.
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| Abstractsub
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Large knowledge bases integrating differen … Large knowledge bases integrating different domains can provide a foundation for new applications in biology such as data mining or automated reasoning. The traditional approach to the construction of such knowledge bases is manual and therefore extremely time consuming. The ubiquity of the internet now makes large-scale community collaboration for the construction of knowledge bases, such as the successful online encyclopedia “Wikipedia”, possible. We propose an extension of this model to the collaborative annotation of molecular data. We argue that a semantic wiki provides the functionality required for this project since this can capitalize on the existing representations in biological ontologies. We discuss the use of a different relationship model than the one provided by RDF and OWL to represent the semantic data. We argue that this leads to a more intuitive and correct way to enter semantic content in the wiki. Furthermore, we show how formal ontologies could be used to increase the usability of the software through type-checking and automatic reasoning.ugh type-checking and automatic reasoning.
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| Bibtextype
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misc +
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| Citeulike
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2461762 +
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| Doi
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10.1007/11915034_91 +
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| Has author
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Robert Hoehndorf +
, Kay Prüfer +
, Michael Backhaus +
, Heinrich Herre +
, Janet Kelso +
, Frank Loebe +
, Johann Visagie +
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| Has remote mirror
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http://www.onto-med.de/publications/2006/hoehndorf-r-2006-669-a.pdf +
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| Language
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English +
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| Number of citations by publication
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0 +
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| Number of references by publication
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0 +
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| Pages
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669-678 +
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| Title
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A Proposal for a Gene Functions Wiki +
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| Type
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unknown +
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| Year
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2006 +
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| Creation dateThis property is a special property in this wiki.
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29 January 2012 10:32:16 +
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| Categories |
Publications without published in parameter +
, Publications without keywords parameter +
, Publications without license parameter +
, Publications without archive mirror parameter +
, Publications without paywall mirror parameter +
, Publications without references parameter +
, Publications +
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| Modification dateThis property is a special property in this wiki.
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6 February 2012 20:47:35 +
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| DateThis property is a special property in this wiki.
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2006 +
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