By Richard Hull (auth.), Stéphane Grumbach, Liying Sui, Victor Vianu (eds.)
This publication 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 offered including four invited papers have been rigorously reviewed and chosen from ninety one submissions. The papers are prepared in topical sections on defense and privateness, semantic internet and information integration, peer-to-peer information administration, internet companies and digital trade, info mining and seek, XML, facts streams and publish/subscribe structures, safety and privateness, semantic internet and knowledge integration, peer-to-peer facts administration, internet prone and digital trade, information mining and seek, info streams and publish/subscribe structures, and Web-based applications.
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Extra 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
XIRQL: An XML query language based on information retrieval concepts. ACM Trans. Inf. Syst. 22 (2004) 313–356 38. : Semantic similarity search on semistructured data with the XXL search engine. Information Retrieval 8 (2005) 521–545 39. : Dataguides: Enabling query formulation and optimization in semistructured databases. In: Proceedings of the 23rd International Conference on Very Large Data Bases. (1997) 436–445 40. : Representative objects: Concise representations of semistructured, hierarchial data.
Economic Properties of Social Networks. Proc. NIPS, 2004. 12. S. Kamvar, B. Yang and H. Garcia-Molina. Addressing the Non-Cooperation Problem in Competitive P2P Systems. 1st Workshop on Economics of Peer-to-peer systems, 2003. 13. H. Kautz, B. Selman and M. Shah. ReferralWeb: Combining Social Networks and Collaborative Filtering. Communications of the ACM, 1997. 14. M. Kleinberg and P. Raghavan. Query Incentive Networks. IEEE Symposium on Foundations of Computer Science, 2005. 15. R. Krishnan, M.
Q3 Retrieve all customers located in New York City. Alice would like an assurance that the query result accurately reﬂects a consistent state of the database, meaning that tuples that were authentic with respect to a prior state of the database cannot be presented as part of the current database. Since customers may change city, this prevents mixing tuples that were correct at diﬀerent points in time. We formalize correctness, completeness, and consistency in Sec 2. To achieve these assurances of integrity, Alice will perform some computation locally using her own trusted computing resources, and store locally only a small bit string acting as a certiﬁcate of authenticity for her data.
Advances in Computer Science – ASIAN 2005. Data Management on the Web: 10th Asian Computing Science Conference, Kunming, China, December 7-9, 2005. Proceedings by Richard Hull (auth.), Stéphane Grumbach, Liying Sui, Victor Vianu (eds.)