By Rajasekar Krishnamurthy, Raghav Kaushik, Jeffrey F. Naughton (auth.), Zohra Bellahsène, Akmal B. Chaudhri, Erhard Rahm, Michael Rys, Rainer Unland (eds.)
The Extensible Markup Language (XML) is taking part in an more and more vital function within the trade of a large choice of knowledge on the net and somewhere else. The database c- munity is drawn to XML since it can be utilized to symbolize numerous info f- mats originating in several forms of information repositories whereas offering constitution and the prospect so as to add sort info. The subject matter of this symposium is the combo of database and XML te- nologies. this present day, we see turning out to be curiosity in utilizing those applied sciences jointly for plenty of Web-based and database-centric purposes. XML is getting used to post info from database structures on the net by means of offering enter to content material turbines for websites, and database platforms are more and more getting used to shop and question XML info, usually by means of dealing with queries issued over the web. As database platforms incre- ingly begin chatting with one another over the internet, there's a fast-growing curiosity in utilizing XML because the general alternate layout for disbursed question processing. hence, many relational database structures export info as XML records, import facts from XML records, offer question and replace features for XML info. moreover, so-called local XML database and integration structures are showing at the database marketplace, and it’s claimed that they're particularly adapted to shop, continue and simply entry XML documents.
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Extra resources for Database and XML Technologies: First International XML Database Symposium, XSym 2003, Berlin, Germany, September 8, 2003, Proceedings
Efficient and extensible algorithms for multi query optimization. In Proc. of SIGMOD, 2000. 13. M. Rys. Materialisation and Parallelism in the Mapping of an Object Model to a Relational Multi-Processor System. PhD thesis, ETH, Zurich, 1997. 14. A. Schmidt, M. Kersten, M. Windhouwer, and F. Waas. Efficient relational storage and retrieval of XML documents. In Proc. of WebDB, 2000. 15. J. Shanmugasundaram, K. Tufte, G. He, C. Zhang, D. DeWitt, and J. Naughton. Relational databases for querying XML documents: Limitations and opportunities.
We redefine and extend these transforms in our new framework. Commutativity and Associativity. Two basic structure-altering operations that we consider are: commutativity and associativity. Associativity is used to group different types into the same relational table. For example, in the first tree of Figure 4(b), Year and Info about the type Directed are stored in a single table called Year Info, while after applying associativity as shown in the second tree, Title and Year appear in a single table called Title Year.
Associativity is used to group different types into the same relational table. For example, in the first tree of Figure 4(b), Year and Info about the type Directed are stored in a single table called Year Info, while after applying associativity as shown in the second tree, Title and Year appear in a single table called Title Year. Commutativity by itself does not give rise to different relational mappings1 , but when combined with associativity may generate mappings different from those considered in the existing literature.