Software agents
IEEE Intelligent Systems
Towards practical reasoning agents for the semantic web
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
POP/FED: progressive query optimization for federated queries in DB2
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Metcalfe's law, Web 2.0, and the Semantic Web
Web Semantics: Science, Services and Agents on the World Wide Web
ArnetMiner: extraction and mining of academic social networks
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Social Network Extraction of Academic Researchers
ICDM '07 Proceedings of the 2007 Seventh IEEE International Conference on Data Mining
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Modern research is becoming increasingly distributed and networked. In this context collaboration among researchers is essential. This work develops an architectural solution aimed at providing a knowledge-based collaborative framework especially targeted for the research domain. The proposed architecture, called Semantic Agent-Oriented Architecture for Researcher Profiling and Association (SemoRA), is based on a multi-agent paradigm and adopts Semantic Web technologies for knowledge representation and retrieval. Through the combined use of agents, ontologies and logical inferencing, SemoRA provides an efficient and robust means of facilitating the development of distributed research networks.