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Addresses the problem of query processing on distributed semi-structured data. The distributed semi-structured data can be modeled as a rooted and edge-labeled graph, where nodes are located in a single or a number of sites. For efficient retrieval of distributed semi-structured data, we propose a query processing model that is based on the `query reduction and diffusion' method. In the method, a user query is reduced in a site and distributed to other sites for data retrieval. We also propose a set of algorithms for the proposed model.
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Addresses the problem of query processing on distributed semi-structured data. The distributed semi-structured data can be modeled as a rooted and edge-labeled graph, where nodes are located in a single or a number of sites. For efficient retrieval of distributed semi-structured data, we propose a query processing model that is based on the `query reduction and diffusion' method. In the method, a user query is reduced in a site and distributed to other sites for data retrieval. We also propose a set of algorithms for the proposed model.
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Fault-tolerant computing --- Application software --- Application software. --- Fault-tolerant computing.
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