WordNet: a lexical database for English
Communications of the ACM
KQML as an agent communication language
Software agents
Intelligent information agents: review and challenges for distributed information sources
Journal of the American Society for Information Science
Mobile agents and the future of the internet
ACM SIGOPS Operating Systems Review
Combinatorial auctions for supply chain formation
Proceedings of the 2nd ACM conference on Electronic commerce
Coordination middleware for XML-centric applications
Proceedings of the 2002 ACM symposium on Applied computing
Using agents to reach an ontology consensus
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
Consensus Ontologies: Reconciling the Semantics of Web Pages and Agents
IEEE Internet Computing
IEEE Intelligent Systems
Conceptual Modeling for Distributed Ontology Environments
ICCS '00 Proceedings of the Linguistic on Conceptual Structures: Logical Linguistic, and Computational Issues
An Agent-Based Cross-Organizational Workflow Architecture in Support of Web Services
WETICE '02 Proceedings of the 11th IEEE International Workshops on Enabling Technologies: nfrastructure for Collaborative Enterprises
PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Local consensus ontologies for B2B-oriented service composition
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Agent-oriented compositional approaches to services-based cross-organizational workflow
Decision Support Systems - Special issue: Web services and process management
Context-aware agents for user-oriented web services discovery and execution
Distributed and Parallel Databases
A context-based mediation approach to compose semantic Web services
ACM Transactions on Internet Technology (TOIT)
A Workflow Engine-Driven SOA-Based Cooperative Computing Paradigm in Grid Environments
International Journal of High Performance Computing Applications
MoSCA: seamless execution of mobile composite services
Proceedings of the 7th workshop on Reflective and adaptive middleware
Expert Systems with Applications: An International Journal
A multi-strategy knowledge interoperability framework for heterogeneous learning objects
Expert Systems with Applications: An International Journal
A context model for semantic mediation in web services composition
ER'06 Proceedings of the 25th international conference on Conceptual Modeling
Using naming tendencies to syntactically link web service messages
DEECS'06 Proceedings of the Second international conference on Data Engineering Issues in E-Commerce and Services
A Social-Aware Service Recommendation Approach for Mashup Creation
International Journal of Web Services Research
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Agent technologies represent a promising approach for the integration of interorganizational capabilities across distributed, networked environments. However, knowledge sharing interoperability problems can arise when agents incorporating differing ontologies try to synchronize their internal information. Moreover, in practice, agents may not have a common or global consensus ontology that will facilitate knowledge sharing and integration of functional capabilities. We propose a method to enable agents to develop a local consensus ontology during operation time as needed. By identifying similarities in the ontologies of their peer agents, a set of agents can discover new concepts/relations and integrate them into a local consensus ontology on demand. We evaluate this method, both syntactically and semantically, when forming local consensus ontologies with and without the use of a lexical database. We also report on the effects when several factors, such as the similarity measure, the relation search level depth, and the merge order, are varied. Finally, experimenting in the domain of agent-supported Web service composition, we demonstrate how our method allows us to successfully autonomously form service-oriented local consensus ontologies.