Data on the Web: From Relations to Semistructured Data and by Serge Abiteboul, Peter Buneman, Dan Suciu

By Serge Abiteboul, Peter Buneman, Dan Suciu

Filenote: PDF is searchable picture ocr with front/back hide. Bookmarked TOC. PDF is 260 pages
Publish yr note: First released October twelfth 1999

The net is inflicting a revolution in how we characterize, retrieve, and approach info Its progress has given us a universally available database yet within the type of a mostly unorganized choice of files. this is often altering, because of the simultaneous emergence of latest methods of representing info: from in the internet group, XML; and from in the database neighborhood, semistructured info. The convergence of those techniques has rendered them approximately exact. Now, there's a concerted attempt to enhance powerful ideas for retrieving and processing either types of data.

Data at the Web" is the one complete, up to date exam of those speedily evolving retrieval and processing techniques, that are of severe significance for the majority internet- and data-intensive organizations. This ebook bargains particular ideas to a variety of functional difficulties whereas equipping you with a willing figuring out of the basic matters together with info versions, question languages, and schemas all in favour of their layout, implementation, and optimization.

You'll locate it to be compelling studying, no matter if your curiosity is that of a practitioner excited by a database-driven internet company or a researcher in machine technological know-how or comparable field.
* offers an in-depth examine XML and different applied sciences for publishing established records at the Web.
* Examines lately built equipment for querying and updating dependent internet records and semistructured facts, together with XML-QL and XSL.
* seems deeper into the convergence of net and database ways to semistructured info presentation and querying.
* information sensible examples of the way those suggestions are already being utilized and the way they are going to be utilized in the close to future.
* Teaches sound concepts for writing queries over net facts, describing unfastened schemas over partly dependent facts, and imposing and optimizing queries on semistructured data."

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Extra resources for Data on the Web: From Relations to Semistructured Data and XML

Example text

A SAX parser reads the flow of some XML data, parses it, and detects events when interpreting the tags. These events are sent back to the application. This provides a simple API for handling XML. An alternative is to compile the entire document directly and construct a tree representation for it. This is provided by an alternative API, namely, DOM (Document Object Model) [DOM99]. DOM is an API for XML documents. It offers an object-oriented view of the XML document, as opposed to an abstract data type view.

Matches any six labels: section, Section, sections, Sections, paragraph, and p a r a g r a ph s. To avoid ambiguities between the regular expressions for labels and those for path expressions we enclose the former in quotation marks. *") matches any path that starts with a bi bl i o label and ends with a secti on label followed by either a (possibly capitalized) t i t 1 e or a pa r ag r ap h edge followed by an edge that contains the string headi ng. In some models of semistructured data, the edge labels are not limited to being strings.

Much scientific data is held in documents that consist of a large number of complex records, each with a similar structure. , a key) is provided as input. This in itself is a query language. Indexing systems such as SRS for biological data are probably the most widely used form of query for documents structured in this way. However, we would like to do better. We would like our query language, in the spirit of database query languages, to be able to use complex predicates on the data. , combine data from different sources) and perform some form of data restructuring.

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