Calo Ontology Development and Support
The purpose of the CALO ontology is to provide vocabulary for semantic
interchange of information and for asking questions. It also provides
the taxonomic structure that is used for reasoning within the IRIS
knowledge base. Its use to support other forms of inference, for
example, for task learning, is still under investigation.
During CALO Y4, the primary enhancement to the CALO ontology was the
design of a Task Interface Registry (TIR). The following
documentation is available for this effort:
Two technical reports (see below) highlighting the knowledge
engineering and knowledge representation issues are available.
Vinay K. Chaudhri, Adam Cheyer, Richard Guili, Bill Jarrold, Karen L. Myers, John Niekrasz. A Case Study in Engineering a Knowledge Base for a Personal Assistant, in Semantic Desktop and Social Semantic Collaboration Workshop at the International Semantic Web Conference, 6 November 2006, Athens, GA, USA, 2006. [PDF, Details]
Vinay K. Chaudhri, Bill Jarrold, John Pacheco. Exporting Knowledge Bases into OWL, in Proceedings of the Workshop on OWL: Experiences and Directions, 2006. [PDF, Details]
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