By Serge Abiteboul, Peter Buneman, Dan Suciu
Filenote: PDF is searchable photograph ocr with front/back hide. Bookmarked TOC. PDF is 260 pages
Publish 12 months note: First released October twelfth 1999
The internet is inflicting a revolution in how we signify, retrieve, and procedure info Its progress has given us a universally available database yet within the kind of a principally unorganized choice of files. this is often altering, because of the simultaneous emergence of recent methods of representing facts: from in the net group, XML; and from in the database group, semistructured facts. The convergence of those techniques has rendered them approximately exact. Now, there's a concerted attempt to strengthen potent concepts for retrieving and processing either varieties of data.
Data at the Web" is the one accomplished, up to date exam of those swiftly evolving retrieval and processing thoughts, that are of severe significance for the majority internet- and data-intensive firms. This publication bargains distinctive strategies to a variety of useful difficulties whereas equipping you with a willing figuring out of the elemental matters together with information types, question languages, and schemas desirous about their layout, implementation, and optimization.
You'll locate it to be compelling studying, even if your curiosity is that of a practitioner enthusiastic about a database-driven internet company or a researcher in laptop technology or comparable field.
* presents an in-depth examine XML and different applied sciences for publishing established files at the Web.
* Examines lately constructed tools for querying and updating based net files and semistructured info, together with XML-QL and XSL.
* seems to be deeper into the convergence of internet and database methods to semistructured info presentation and querying.
* information sensible examples of the way those concepts are already being utilized and the way they are going to be utilized in the close to future.
* Teaches sound ideas for writing queries over internet facts, describing free schemas over in part dependent information, and imposing and optimizing queries on semistructured data."
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Additional resources for Data on the Web: From Relations to Semistructured Data and XML
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.
Two of them, however, ACeDB and XML, have very close affinities with the model we develop here. We shall briefly mention ACeDB here. XML will be the topic of the next chapter. 1 ACeDB ACeDB (A C. elegans Database) is not well-known as a general database management system [TMD92]. It was, as its name indicates, originally developed as a database for genetic data of a specific organism. However, the data model is quite general. It is popular with biologists for several reasons: the ability to deal with missing data, some extremely good user interfaces (some general and some specific to genetic sequence data), and some good browsing tools.
Since XML contains only data, we need to convert it into HTML first, in order to display it with a browser. Stylesheets [Sty99] are special-purpose languages expressing this conversion. There are two, somewhat competing proposals for stylesheets. The first is lightweight: it is called Cascading Style Sheets (CSS), and we briefly illustrate it here. The other is a transformation language, called XSL, and is described in more detail in Chapter 5. 6 Paraphernalia 49 The main idea in CSS is to associate with each element type a presentation.