(Redirected from Kay Prufer)
| Kay Prüfer|
(Alternative names for this author)
|Co-authors||Alexandr Uciteli, Frank Loebe, Heinrich Herre, Janet Kelso, Johann Visagie, Joshua Bacher, Michael Backhaus, Robert Hoehndorf, Sergio Gregorio|
|Authorship||Publications (2), datasets (0), tools (0)|
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Kay Prüfer is an author.
PublicationsOnly those publications related to wikis are shown here.
|Title||Keyword(s)||Published in||Language||DateThis property is a special property in this wiki.||Abstract||R||C|
|BOWiki: an ontology-based wiki for annotation of data and integration of knowledge in biology||English||2009||MOTIVATION:Ontology development and the annotation of biological data using ontologies are time-consuming exercises that currently require input from expert curators. Open, collaborative platforms for biological data annotation enable the wider scientific community to become involved in developing and maintaining such resources. However, this openness raises concerns regarding the quality and correctness of the information added to these knowledge bases. The combination of a collaborative web-based platform with logic-based approaches and Semantic Web technology can be used to address some of these challenges and concerns.RESULTS:We have developed the BOWiki, a web-based system that includes a biological core ontology. The core ontology provides background knowledge about biological types and relations. Against this background, an automated reasoner assesses the consistency of new information added to the knowledge base. The system provides a platform for research communities to integrate information and annotate data collaboratively.AVAILABILITY:The BOWiki and supplementary material is available at http://www.bowiki.net/. The source code is available under the GNU GPL from http://onto.eva.mpg.de/trac/BoWiki.||0||0|
|A Proposal for a Gene Functions Wiki||English||2006||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.||0||0|