By Beng-Chin Ooi (auth.), Jayant R. Haritsa, Ramamohanarao Kotagiri, Vikram Pudi (eds.)

This booklet constitutes the refereed lawsuits of the thirteenth overseas convention on Database platforms for complicated purposes, DASFAA 2008, held in New Delhi, India, in March 2008.

The 30 revised complete papers and 27 revised brief papers offered including the abstracts of three invited talks in addition to eight demonstration papers and a panel dialogue motivation have been rigorously reviewed and chosen from 173 submissions. The papers are equipped in topical sections on XML schemas, facts mining, spatial information, indexes and cubes, information streams, P2P and transactions, XML processing, complicated development processing, IR concepts, queries and transactions, information mining, XML databases, facts warehouses and business purposes, in addition to cellular and allotted data.

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Extra info for Database Systems for Advanced Applications: 13th International Conference, DASFAA 2008, New Delhi, India, March 19-21, 2008. Proceedings

Sample text

There are two relations in G(v): P rof essor and Course. After applying the schema checking rules on these two translations separately, we cannot find a correct translation, and these updates are classified as “uncertain”. Now we perform the data-checking. However, the schema-checking reveals that Course is not a correct translation, and hence this need not be checked. T A need not be examined during data-checking. In summary, when doing data-checking, schema-checking knowledge can help us in two ways: 1.

1. Given a view schema node v computed by SQL query Qv . Let R1 , R2 , . . , Rn be relations referenced by Qv . Each Ri , 1 ≤ i ≤ n forms a node in GC . 2. Let Ri , Rj be two nodes (Ri = Rj ). b is UNIQUE in Rj . 3. b is UNIQUE for Rj , then there are two edges Ri → Rj and also Rj → Ri . Fig. T A nodes in Fig 3. pid Course (b) Professor Fig. 8. TA-node Rule 5. Given a view schema node v and its computation dependency graph GC . Deleting a source S of v will not cause side-effect in any view element of Group-Self if the corresponding node of S in GC can reach all other nodes.

In the algorithm, we first perform an initialization by marking dominant relations for relation circles and dominant participant relations for multi-related relations. 3. ΔS is used to accommodate useful relations which may further induce other relations by its primary key. After mapping base relations line 5-9, we obtain a initial ΔS and the to-be-mapped tables will reduce to S − ΔS. Line 10-22 is the core part of this holistic incremental algorithm. The meaning has been explained in the previous paragraph.

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Database Systems for Advanced Applications: 13th by Beng-Chin Ooi (auth.), Jayant R. Haritsa, Ramamohanarao
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