Searching distributed collections with inference networks
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Learning collection fusion strategies
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
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Computer Networks and ISDN Systems
TELLTALE: experiments in a dynamic hypertext environment for degraded and multilingual data
Journal of the American Society for Information Science - Special issue on full-text retrieval
KQML as an agent communication language
Software agents
Comparing the performance of database selection algorithms
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
The impact of database selection on distributed searching
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
A vector space model for automatic indexing
Communications of the ACM
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Managing Gigabytes: Compressing and Indexing Documents and Images
Managing Gigabytes: Compressing and Indexing Documents and Images
ITtalks: A Case Study in the Semantic Web and DAML+OIL
IEEE Intelligent Systems
Generalizing GlOSS to Vector-Space Databases and Broker Hierarchies
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
TKQML: A Scripting Tool for Building Agents
ATAL '97 Proceedings of the 4th International Workshop on Intelligent Agents IV, Agent Theories, Architectures, and Languages
Using latent semantic analysis to find different names for the same entity in free text
Proceedings of the 4th international workshop on Web information and data management
Swoogle: a search and metadata engine for the semantic web
Proceedings of the thirteenth ACM international conference on Information and knowledge management
The SEWASIE multi-agent system
AP2PC'04 Proceedings of the Third international conference on Agents and Peer-to-Peer Computing
Working in a dynamic environment: the nep4b approach as a MAS
AP2PC'08 Proceedings of the 7th international conference on Agents and Peer-to-Peer Computing
A review of ranking approaches for semantic search on Web
Information Processing and Management: an International Journal
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We describe CARROT II (C2), an agent-based architecture for distributed information retrieval and document collection management. C2 can consist of an arbitrary number of agents, distributed across a variety of platforms and locations. C2 agents provide search services over local document collections or information sources. They advertise content-derived metadata that describes their local document store. This metadata is sent to other C2 agents which agree to act as brokers for that collection, and every agent in the system has the ability to serve as such a broker. A query can be sent to any C2 agent, which can decide to answer the query itself from its local collection, or to send the query on to other agents whose metadata indicate that they would be able to answer the query, or send the query on further. Search results from multiple agents are merged and returned to the user. C2 differs from similar systems in that metadata takes the form of an automatically generated, unstructured feature vector, and that any agent in the system can act as a broker, so there is no centralized control. We present experimental results of retrieval performance and effectiveness in a distributed environment.