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dc.contributor.authorCost, R.
dc.contributor.authorKallurkar, Srikanth
dc.contributor.authorMajithia, Hemali
dc.contributor.authorNicholas, Charles
dc.description.abstractWe describe CARROT II, an agent-based architecture for distributed information retrieval and document collection management. CARROT II consists of an arbitrary number of agents, distributed across a variety of platforms and locations. CARROT II 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 CARROT II 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 CARROT II 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. CARROT II 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. We have evaluated CARROT II in the context of the Web Track of NIST’s annual Text Retrieval Conference. Our methodology is described, and results are presented.
dc.titleCARROT II and the TREC 11 Web Track

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