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

By Serge Abiteboul, Peter Buneman, Dan Suciu

The net is inflicting a revolution in how we characterize, retrieve, and approach details Its progress has given us a universally obtainable database-but within the type of a mostly unorganized number of records. this can be altering, due to the simultaneous emergence of latest methods of representing facts: from in the internet neighborhood, XML; and from in the database group, semistructured information. The convergence of those techniques has rendered them approximately exact. Now, there's a concerted attempt to advance potent suggestions for retrieving and processing either forms of data.Data on the net is the one complete, up to date exam of those swiftly evolving retrieval and processing thoughts, that are of serious significance for the majority net- and data-intensive organisations. This ebook bargains special options to quite a lot of functional difficulties whereas equipping you with a willing figuring out of the elemental issues-including information types, question languages, and schemas-involved of their layout, implementation, and optimization. you will discover it to be compelling examining, no matter if your curiosity is that of a practitioner focused on a database-driven net company or a researcher in computing device technological know-how or comparable box. * presents an in-depth examine XML and different applied sciences for publishing based records at the Web.* Examines lately built equipment for querying and updating based internet files and semistructured facts, together with XML-QL and XSL.* appears deeper into the convergence of internet and database methods to semistructured info presentation and querying.* info functional examples of the way those suggestions are already being applied-and how they are going to be utilized in the close to future.* Teaches sound recommendations for writing queries over internet information, describing free schemas over in part dependent facts, and imposing and optimizing queries on semistructured info.

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Additional resources for Data on the Web: From Relations to Semistructured Data and XML (The Morgan Kaufmann Series in Data Management Systems)

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Such external references may be useful in data exchange. 6 of an XML document that uses external documents. Consider the abstract defined in the prologue. We define a bs t r a c t as an "entity" consisting of some external XML file. The use of %abstract; in the report results in inserting the entire abstract document at that position. Thus, the document includes explicitly only the elements meta (some meta information about the report), and t i t 1e; the abstract and content are fetched from other documents.

XML uses the term "attribute" for what is sometimes called a "property" in data models. In XML, attributes are defined as (name,value) pairs. 12

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As with tags, users may define arbitrary attributes, like 1 an g u age, currency, and fo r mat above. The value of an attribute is always a string and must be enclosed in quotation marks.

4 illustrates such an example. With references, the analogy between XML and semistructured data is less clean. 5. We could encode this in XML either as Kb id="&o123"> some string and assume that the attribute c is a reference attribute, or as some string assuming that b is now a reference attribute. 3 Order The semistructured data model we described earlier is based on unordered collections, while XML is ordered. 4 XML representation of cross-references.

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