By Abdul Nizar M., P. Sreenivasa Kumar (auth.), Zohra Bellahsène, Ela Hunt, Michael Rys, Rainer Unland (eds.)
Since its first version in 2003, the XML Database Symposium sequence (XSym) has been a discussion board for lecturers, practitioners, clients and proprietors, permitting all to debate using and synergy among database administration structures and XML. the former symposia have supplied possibilities for well timed discussions on a huge diversity of themes bearing on the idea and perform of XML information administration and its purposes. XSym 2009 persevered this XSym culture with a application along with 15 papers and a keynote shared with the twelfth overseas Symposium on Database Programming Languages (DBPL 2009). We acquired 26 paper submissions, out of which 8 papers have been authorised as complete papers, and 7 as short/demo papers. every one submitted paper underwent a rigorous and cautious assessment via 4 referees for lengthy papers and 3 for the quick ones. The contributions in those complaints are an exceptional pattern of the superior present - seek in XML question processing, together with complete textual content, key-phrase and loosely based queries, movement querying and joins, and materialized perspectives. between new theoretical advances we incorporated paintings on a lambda-calculus version of XML and XPath, on m- ping from the improved entity-relationship conceptual version to the W3C XML Schema Language, on transactions, and extensions to XPath. ultimately, paintings on information parallel algorithms, compression, and functional features of XQuery, together with question kinds and using Prolog also are a part of this volume.
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Additional resources for Database and XML Technologies: 6th International XML Database Symposium, XSym 2009, Lyon, France, August 24, 2009. Proceedings
9) created an Ontology Label for each distinct tag name. We used Protégé for creating about 25% of the ontologies and the other 75% were available in electronic form (done by others) and we imported them to the system using namespaces coordination. g. table 1). XML doc. XQuery Engine GraphBuilder KCdeterminer XRKeyword Query Engine Query XML schema OntologyBuilde IRdeterminer IR_TBL Results Fig. 9. 2 Constructing Canonical Trees Graphs Algorithm BuildCTreesGraph (see Fig. 10) constructs CTGs for XML trees.
The output size is constant. We have seen in  how the length of chain makes a little diﬀerence to query evaluation time. In Figure 7, time to execute queries increases linearly with number of branching points (twigs) in the query. Number of Twigs 14000 Response Time Time (ms) 12000 10000 8000 6000 4000 2000 0 1 2 3 4 5 Fig. 7. Change in BPI-TWIG evaluation time with Query Complexity Since most of the computation is performed on the types level not the data level, the eﬀect of recursiveness on the query processing is not signiﬁcant.
IR i I T j ∈ RKC Tj Example 8: Consider Figures 2 and 3 and the loosely structured query: Q (ISBN =”87-11-07559-7”, ISBN = “0-471-19047-0”, name? ). The query asks for the name of the customer, who ordered publications, whose ISBNs are 87-11-07559-7 and 0-471-19047-0. Only node 9 matches the search term (ISBN = “87-11-07559-7”) and only node 33 matches the search term (ISBN = “0-471-19047-0”). Thus, the RKC will be composed of CTs T3 and T12, which contain nodes 9 and 33 respectively. The IAN name should be located in the intersect IRT3 IRT12 = T1 (recall Fig.
Database and XML Technologies: 6th International XML Database Symposium, XSym 2009, Lyon, France, August 24, 2009. Proceedings by Abdul Nizar M., P. Sreenivasa Kumar (auth.), Zohra Bellahsène, Ela Hunt, Michael Rys, Rainer Unland (eds.)