Download Advances in Computer Science – ASIAN 2005. Data Management by Richard Hull (auth.), Stéphane Grumbach, Liying Sui, Victor PDF

By Richard Hull (auth.), Stéphane Grumbach, Liying Sui, Victor Vianu (eds.)

This e-book constitutes the refereed complaints of the tenth Asian Computing technological know-how convention, ASIAN 2005, held in Kunming, China in December 2005.

The 17 revised complete papers and 21 revised brief papers provided including four invited papers have been conscientiously reviewed and chosen from ninety one submissions. The papers are equipped in topical sections on safety and privateness, semantic net and knowledge integration, peer-to-peer information administration, internet companies and digital trade, info mining and seek, XML, information streams and publish/subscribe structures, safeguard and privateness, semantic net and knowledge integration, peer-to-peer facts administration, net prone and digital trade, information mining and seek, facts streams and publish/subscribe structures, and Web-based applications.

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Additional info for Advances in Computer Science – ASIAN 2005. Data Management on the Web: 10th Asian Computing Science Conference, Kunming, China, December 7-9, 2005. Proceedings

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Algebras for querying text regions. In: Proceedings of the Symposium on Principles of Database Systems, San Jose, California, USA (1995) 11–22 8. : An algebra for structured text search and a framework for its implementation. The Computer Journal 38 (1995) 43–56 9. : Integrating content and structure in text retrieval. P. Consens and R. Baeza-Yates 10. : Proximal nodes: A model to query document databases by contents and structure. ACM Transactions on Information Systems 15 (1997) 401–435 11.

Note that the computation of the ancestors makes no database accesses. It is performed efficiently as an user-defined procedure returning a unary table consisting of nodes from the domain tree. The following examples illustrate the execution of Q1 and Q2. Example 6. A = 13 Referring to Fig. 2, we compute Ancestors(13) which is equal to {8, 12, 14, 13}. Q1 joins these nodes with the value tree nodes in AuthR . The result is just two tuples representing nodes 12 and 8 in the value tree. Node 12 holds interval (11, 14] which contains the search key 13, proving the answer empty but complete, and node 8 is included since it is on the path to the root.

For a set of result tuples, the nodes in the tree the server must return are those on the hash path, which consist of all siblings of nodes on a path from a result tuple to the root. Successful verification proves integrity under the assumption that it is impossible for the server to find a collision in the hash function f . We illustrate with the example queries below which refer to the database R in Fig. 1 and we assume score is a key for R. Example 1. Select tuples with score=5. The server returns the answer tuple, t3 .

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