Calo   Ontology: Overview
 
 

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]