| Barish, G., DiPasquo, D., Knoblock, C., and Minton, S. A dataflow approach to agent-based information management. International Conference on Artificial Intelligence (IC-AI 2000), Las Vegas, NV, 2000. |
....system that we have developed in the previous work to answer the user queries similar to the query above. 3. Previous Work Recently, we have combined a state of the art query reformulation algorithm, the Inverse Rules [7] algorithm, with a streaming, dataflow style execution engine, Theseus [9], to generate a new mediator system [10] The key advantages of the new mediator system are the ability to provide maximally complete answers to the user queries, support for recursion and binding patterns, and a streaming dataflow style execution system. In this section, we briefly describe this ....
....execution engines do not have ability to execute multiple operations in parallel and cannot stream data between the operations. We have developed a technique [10] to map datalog programs to integration plans that can be executed by a streaming, highly parallel execution engine called Theseus [9]. The Theseus execution engine has a wide variety of operators to perform various data management tasks, access data sources, and communication operators such as e mail. Among the streaming, highly parallel execution engines, Theseus is unique in its support for recursion. Theseus can execute the ....
Barish, G., et al. A dataflow approach to agent-based information management. in Proceedings of the 2000 International Conference of on Artificial Intelligence. 2000. Las Vegas, NV.
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Barish, G., DiPasquo, D., Knoblock, C., and Minton, S. A dataflow approach to agent-based information management. International Conference on Artificial Intelligence (IC-AI 2000), Las Vegas, NV, 2000.
No context found.
Barish, G., DiPasquo, D., Knoblock, C. A.., and Minton S. N. 2000. A Dataflow Approach to AgentBased Information Management. In ICAI Proceedings, Las Vegas, Nevada, USA.
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