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 booklet constitutes the refereed court cases of the tenth Asian Computing technology convention, ASIAN 2005, held in Kunming, China in December 2005.

The 17 revised complete papers and 21 revised brief papers awarded including four invited papers have been conscientiously reviewed and chosen from ninety one submissions. The papers are geared up in topical sections on safeguard and privateness, semantic net and knowledge integration, peer-to-peer information administration, net providers and digital trade, information mining and seek, XML, facts streams and publish/subscribe platforms, safety and privateness, semantic net and knowledge integration, peer-to-peer info administration, internet prone and digital trade, facts mining and seek, information 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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Miklau and D. Suciu Execution plan. For queries Q1 , Q2 and Q3 the favored execution strategy is to materialize the Ancestors table, and perform an index-nested loops join using the index on AuthR . The query optimizers in the two database systems we tried chose this execution plan. For Q1 , the Ancestors set is quite small – it is bounded by parameter k of the domain tree (32 for most of our experiments). Thus evaluation of Q1 consists of not more than k probes of the index on Auth. For range queries, the Ancestors set is bounded by the result size plus 2k.

In: Proceedings of the 26th European Conference on IR Research, ECIR 2004. (2004) 378–393 68. : On the integration of structure indexes and inverted lists. In: Proceedings of the 2004 ACM SIGMOD International Conference on Management of Data. (2004) 779–790 69. : A signature-based approach for efficient relationship search on XML data collections. In: Second International XML Database Symposium, XSym 2004. (2004) 82–96 70. : PRIX: Indexing and querying XML using Pr¨ ufer sequences. In: Proceedings of the 20th International Conference on Data Engineering.

The server could omit a tuple, returning for example just t3 as an answer along with it’s verifiable hash path. The author will not be able to detect the omission in this case. Modifying data: Insertions, deletions, updates. The modification of any tuple in the database changes the root hash, upon which the verification procedure depends. Therefore, the client must perform re-computation of the root hash locally for any insertion, deletion, or update. We illustrate with the following example: Example 5.

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