Knowledge Discovery over the Deep Web, Semantic Web and XML
Identifieur interne : 007E37 ( Main/Exploration ); précédent : 007E36; suivant : 007E38Knowledge Discovery over the Deep Web, Semantic Web and XML
Auteurs : Aparna Varde [États-Unis] ; Fabian Suchanek [Allemagne] ; Richi Nayak [Australie] ; Pierre Senellart [France]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2009.
Descripteurs français
- Wicri :
English descriptors
- KwdEn :
- Computer science, Data engineering, Data mining, Extensible, Extensible markup language, Heidelberg, Information systems, Information technology, International conference, Knowledge discovery, Knowledge representation formalisms rdfs, Markup, Markup languages, Medical markup language, Mining association rules, Ontology, Query, Rdfs, Response pages, Semantics, Tutorial.
- Teeft :
- Computer science, Data engineering, Data mining, Extensible, Extensible markup language, Heidelberg, Information systems, Information technology, International conference, Knowledge discovery, Knowledge representation formalisms rdfs, Markup, Markup languages, Medical markup language, Mining association rules, Ontology, Query, Rdfs, Response pages, Semantics, Tutorial.
Abstract
Abstract: In this tutorial we provide an insight into Web Mining, i.e., discovering knowledge from the World Wide Web, especially with reference to the latest developments in Web technology. The topics covered are: the Deep Web, also known as the Hidden Web or Invisible Web; the Semantic Web including standards such as RDFS and OWL; the eXtensible Markup Language XML, a widespread communication medium for the Web; and domain-specific markup languages defined within the context of XML We explain how each of these developments support knowledge discovery from data stored over the Web, thereby assisting several real-world applications.
Url:
DOI: 10.1007/978-3-642-00887-0_73
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en">Abstract: In this tutorial we provide an insight into Web Mining, i.e., discovering knowledge from the World Wide Web, especially with reference to the latest developments in Web technology. The topics covered are: the Deep Web, also known as the Hidden Web or Invisible Web; the Semantic Web including standards such as RDFS and OWL; the eXtensible Markup Language XML, a widespread communication medium for the Web; and domain-specific markup languages defined within the context of XML We explain how each of these developments support knowledge discovery from data stored over the Web, thereby assisting several real-world applications.</div>
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