A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
A softbot-based interface to the Internet
Communications of the ACM
Data model and query evaluation in global information systems
Journal of Intelligent Information Systems - Special issue: networked information discovery and retrieval
Integrating heterogeneous databases: lazy or eager?
ACM Computing Surveys (CSUR) - Special issue: position statements on strategic directions in computing research
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IEA/AIE '99 Proceedings of the 12th international conference on Industrial and engineering applications of artificial intelligence and expert systems: multiple approaches to intelligent systems
Performance analysis of mobile agents for filtering data streams on wireless networks
Proceedings of the 3rd ACM international workshop on Modeling, analysis and simulation of wireless and mobile systems
ACQUIRE: agent-based complex query and information retrieval engine
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
Programming and Deploying Java Mobile Agents Aglets
Programming and Deploying Java Mobile Agents Aglets
Mole – Concepts of a mobile agent system
World Wide Web
IEEE Internet Computing
A Hands-On Look at Java Mobile Agents
IEEE Internet Computing
IEEE Internet Computing
Scaling heterogeneous databases and the design of Disco
ICDCS '96 Proceedings of the 16th International Conference on Distributed Computing Systems (ICDCS '96)
Ontologies: A Silver Bullet for Knowledge Management and Electronic Commerce
Ontologies: A Silver Bullet for Knowledge Management and Electronic Commerce
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IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Study of Heterogeneous Distributed Resource Warehouse Semantic Retrieving Based on Multi-agent
Advances in Blended Learning
Agent-Based Knowledge Discovery for Modeling & Simulation
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services
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The heterogeneous, distributed and voluminous nature of many government and corporate data sources impose severe constraints on meeting the diverse requirements of users who analyze the data. Additionally, communication bandwidth limitations, time constraints, and multiple data formats impose further restrictions on users of these distributed data sources. In this paper, we present an Agent-based Complex QUerying and Information Retrieval Engine (ACQUIRE) for large, heterogeneous, and distributed data sources. ACQUIRE acts as a softbot or interface agent by presenting users with a view of a single, unified, homogenous data source, against which users can pose high-level declarative queries. ACQUIRE translates each such user query into a set of sub-queries by employing a combination of planning and traditional database query optimization techniques. ACQUIRE then spawns a set of mobile agents corresponding to these sub-queries, which in turn retrieve the data from various distributed data sources by dynamically optimizing the retrieval strategy as it is carried out. These mobile agents carry with them data-processing code that can be executed at the remote site, thus reducing the size of data returned by the agent. When all mobile agents have returned, ACQUIRE filters and merges the retrieved data and presents the results to the user. While the system is still very much a work in progress, current validation experiments on simulated NASA Distributed Active Archive Centers (DAACs) have demonstrated that complex queries can be effectively decomposed and retrieved by this approach.