A learning interface agent for scheduling meetings
IUI '93 Proceedings of the 1st international conference on Intelligent user interfaces
Experience with a learning personal assistant
Communications of the ACM
Varying the user interaction within multi-agent systems
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
Distributed Intelligent Agents
IEEE Expert: Intelligent Systems and Their Applications
Semantic Matching of Web Services Capabilities
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
DAML-S: Web Service Description for the Semantic Web
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver
IEEE Transactions on Computers
Journal of Artificial Intelligence Research
A genetic fuzzy agent using ontology model for meeting scheduling system
Information Sciences: an International Journal
A meta-logical approach for multi-agent communication of semantic web information
INAP'05 Proceedings of the 16th international conference on Applications of Declarative Programming and Knowledge Management
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The Semantic Web uses formal distributed ontologies for representing relationships among concepts in the real world. A structured framework such as this allows agents to peruse and reason about published knowledge without the need for scrapers, information agents, and centralized ontologies. However, in order to process any information, an agent must be familiar with the underlying ontology used to markup that information. However, no single agent can be expected to be familiar with all possible ontologies that may be available on the Semantic Web. Therefore, translation services that transform concepts defined within previously unknown ontologies into known concepts allow agents to understand the available information and hence achieve their goal. This transformation may be achieved by invoking specific markup translation services or by logical reasoning through other shared ontologies. The RETSINA Calendar Agent (RCal) is a Distributed Meeting Scheduling Agent that processes schedules marked up on the Semantic Web, and imports them into the user's Personal Information Manager. Translation services, which are used to translate unknown concepts into known concepts, which are located using a DAML-S based service discovery mechanisms. In this paper, we present RCal, and demonstrate how it extracts and uses meaningful knowledge from the semantic markup. In addition, we describe how web-service discovery mechanisms are used when new concepts are encountered.