A Case Study in Engineering a Knowledge Base for a Personal Assistant
by Vinay K. Chaudhri, Adam Cheyer, Richard Guili, Bill Jarrold, Karen L. Myers, John Niekrasz
in Semantic Desktop and Social Semantic Collaboration Workshop at the International Semantic Web Conference, 6 November 2006, Athens, GA, USA
2006.
Abstract
We present a case study in engineering a knowledge base to meet the
requirements of an intelligent personal assistant. The assistant is designed to
function as part of a semantic desktop application, with the goal of helping a user
manage and organize his information as well as supporting the user in performing
tasks. We describe the knowledge base development process, the knowledge
engineering challenges we faced in the process and our solutions to them, and
important lessons learned during the process.
Cognitive Assistant that Learns and Organizes
As part of DARPA’s Perceptive Agent that Learns (PAL) program, SRI and team members are working on developing a next-generation "Cognitive Agent that Learns and Organizes" (CALO).
