Logical foundations of artificial intelligence
Logical foundations of artificial intelligence
Distributed Artificial Intelligence
Distributed Artificial Intelligence
C4.5: programs for machine learning
C4.5: programs for machine learning
Building a large-scale knowledge base for machine translation
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
KQML as an agent communication language
Software agents
Learning to extract symbolic knowledge from the World Wide Web
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Ontology-based web site mapping for information exploration
Proceedings of the eighth international conference on Information and knowledge management
Agent interoperation across multiagent system boundaries
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
Distributed and Parallel Databases
Machine Learning
A Roadmap of Agent Research and Development
Autonomous Agents and Multi-Agent Systems
The Origins of Ontologies and Communication Conventions in Multi-Agent Systems
Autonomous Agents and Multi-Agent Systems
Enriching Information Agents' Knowledge by Ontology Comparison: A Case Study
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
Ontology Negotiation as a Basis for Opportunistic Cooperation between Intelligent Information Agents
CIA '01 Proceedings of the 5th International Workshop on Cooperative Information Agents V
Web Intelligence and Agent Systems
An agent-based recommender system to support collaborative web search based on shared user interests
CRIWG'07 Proceedings of the 13th international conference on Groupware: design implementation, and use
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The promise of intelligent agents acting on behalf of users' personalized knowledge sharing needs may be hampered by the insistence that these agents begin with a predefined, common ontology instead of personalized, diverse ontologies. Only until recently have researchers diverged from the last decades common “ontology paradigm” to a paradigm involving agents that can share knowledge using diverse ontologies. This paper describes how we address this agent knowledge sharing problem of how agents deal with diverse ontologies by introducing a methodology and algorithms for multi- agent knowledge sharing and learning. We demonstrate how this approach will enable multi- agent systems to assist groups of people in locating, translating, and sharing knowledge using our Distributed Ontology Gathering Group Integration Environment (DOGGIE) and describe our proof- of- concept experiments. DOGGIE synthesizes agent communication, machine learning, and reasoning for information sharing in the Web domain.