| Janet Kelso|
(Alternative names for this author)
|Co-authors||Alexandr Uciteli, Frank Loebe, Heinrich Herre, Johann Visagie, Joshua Bacher, Kay Prüfer, Michael Backhaus, Robert Hoehndorf, Sergio Gregorio|
|Authorship||Publications (3), datasets (0), tools (0)|
|Citations||Total (0), average (0), median (0), max (0), min (0)|
|DBLP · Google Scholar|
|Export and share|
|BibTeX, CSV, RDF, JSON|
|Browse properties · List of authors|
Janet Kelso 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|
|BOWiki - A collaborative annotation and ontology curation framework||Ontology curation
|CEUR Workshop Proceedings||English||2007||As the amount of data being generated in biology has increased, a major challenge has been how to store and represent this data in a way that makes it easily accessible to researchers from diverse domains. Understanding the relationship between genotype and phenotype is a major focus of biological research. Various approaches to providing the link between genes and their functions have been undertaken - most require significant and dedicated manual curation. Advances in web technologies make possible an alternative route for the construction of such knowledge bases - large-scale community collaboration. We describe here a system, the BOWiki, for the collaborative annotation of gene information. 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 describe our implementation and show how formal ontologies could be used to increase the usability of the software through type-checking and automatic reasoning.||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|