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Daniel Schober; James Malone; Robert Stevens. |
Creation of an ontology according to some common plan is best accomplished collaboratively. This is sometimes contradicted by the distribution of the ontology’s developers. An obvious solution therefore is to build collaboration into ontology development tools. Such support necessarily includes both the technical means to perform editing operations upon an ontology, but also support for the communication that makes collaboration such a vital part of much ontology development. To investigate the distributed, collaborative ontology engineering process and the corresponding capabilities of the Collaborative Protege 3 (CP) tool, members of the OntoGenesis network came together and enriched the Ontology of Biomedical Investigations (OBI) with new... |
Tipo: Manuscript |
Palavras-chave: Bioinformatics. |
Ano: 2009 |
URL: http://precedings.nature.com/documents/3517/version/1 |
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Mélanie Courtot; Frank Gibson; Allyson L. Lister; James Malone; Daniel Schober; Ryan R. Brinkman; Alan Ruttenberg. |
While the Web Ontology Language (OWL) provides a mechanism to import ontologies, this mechanism is not always suitable. First, given the current state of editing tools and the issues they have working with large ontologies, direct OWL imports have sometimes proven impractical for day-to-day development. Second, ontologies chosen for integration may be under active development and not aligned with the chosen design principles. Importing heterogeneous ontologies in their entirety may lead to inconsistencies or unintended inferences. In this paper we propose a set of guidelines for importing required terms from an external resource into a target ontology. We describe the guidelines, their implementation, present some examples of application, and outline... |
Tipo: Presentation |
Palavras-chave: Biotechnology; Bioinformatics. |
Ano: 2009 |
URL: http://precedings.nature.com/documents/3576/version/1 |
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James Malone; Tomasz Adamusiak; Ele Holloway; Helen Parkinson. |
The Experimental Factor Ontology ("www.ebi.ac.uk/efo":http://www.ebi.ac.uk/efo) is an application focused ontology modelling the experimental factors in ArrayExpress. The ontology has been developed to increase the richness of the annotations that are currently made in the ArrayExpress repository, to promote consistent annotation, to facilitate automatic annotation and to integrate external data. The methodology employed in the development of EFO involves construction of mappings to multiple existing domain specific ontologies, such as the Disease Ontology and Cell Type Ontology. |
Tipo: Poster |
Palavras-chave: Bioinformatics. |
Ano: 2009 |
URL: http://precedings.nature.com/documents/3806/version/1 |
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Daniel Schober; James Malone; Robert Stevens. |
Creation of an ontology according to some common plan is best accomplished collaboratively. This is sometimes contradicted by the distribution of the ontology’s developers. An obvious solution therefore is to build collaboration into ontology development tools. Such support necessarily includes both the technical means to perform editing operations upon an ontology, but also support for the communication that makes collaboration such a vital part of much ontology development. To investigate the distributed, collaborative ontology engineering process and the corresponding capabilities of the Collaborative Protege 3 (CP) tool, members of the OntoGenesis network came together and enriched the Ontology of Biomedical Investigations (OBI) with new... |
Tipo: Manuscript |
Palavras-chave: Bioinformatics. |
Ano: 2009 |
URL: http://precedings.nature.com/documents/3517/version/2 |
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