Metamodeling integration architecture for open biomedical ontologies: the GO extensions' case study
ER '07 Tutorials, posters, panels and industrial contributions at the 26th international conference on Conceptual modeling - Volume 83
Editorial: ANEMONE: An environment for modular ontology development
Data & Knowledge Engineering
Ontology management and evolution for business intelligence
International Journal of Information Management: The Journal for Information Professionals
On the Notion of Collective Intelligence: Opportunity or Challenge?
International Journal of Organizational and Collective Intelligence
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In order for ontologies to be broadly useful to the scientific community, they need to capture knowledge and expertise of multiple experts and research groups. Consequently, the construction of such ontologies necessarily requires collaboration among individual experts or research groups. Support for such collaboration is largely lacking in existing ontology development environments. We describe some initial steps towards the development of a collaborative ontology development environment. Specifically, we describe an ontology editing tool COB Editor which exploits the notion of modular ontologies (or ontology packages) to support sharing, reuse, and collaborative editing of partial order (i.e., DAG-structured) ontologies. COB Editor can engage diverse and relatively autonomous communities of biologists in the process of creating the ontologies needed for annotating, integrating, and analyzing diverse sources of 'omics' data.