Ontology Management in CALO, a Cognitive Assistant that Learns and Organizes -- by Mr. Adam Cheyer (SRI) - 04-May-2006

* Subject Mr. Adam Cheyer from SRI International presents his talk entitled: "Ontology Management in CALO, a Cognitive Assistant that Learns and Organizes" * Date Thursday, May 4, 2006 * ONTOLOG forum Wiki page details http://ontolog.cim3.net/cgi-bin/wiki.pl?ConferenceCall_2006_05_04 * Abstract (by Adam Cheyer) CALO is one of DARPA's most ambitious efforts to develop a persistent assistant that lives with, learns from, and supports users in managing the complexities of their daily work lives. A multi-year project that unites some 200+ researchers from 25 academic and commercial organizations, the goal is to produce a single system where learning happens "in vivo", inside an ever-evolving agent that can observe, comprehend, reason, anticipate, act, and communicate. In this talk, we will first provide an overview of CALO: the what, the how, the why. Next, we will discuss the engineering methods we use to develop and maintain the ontology of CALO. CALO has some unusual requirements, such as "Concept Learning" where the ontology is extended and modified "in-the-wild" by machine learning algorithms. Finally, we will demonstrate IRIS, a semantic desktop that serves as the office environment that integrates best with CALO. IRIS leverages many of CALO's techniques to ontology management, and being open source, provides a distributable, transparent example of the approach.