Knowledge discovery over the deep web, semantic web and XML

Aparna Varde, Fabian Suchanek, Richi Nayak, Pierre Senellart

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

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.

Original languageEnglish
Title of host publicationDatabase Systems for Advanced Applications - 14th International Conference, DASFAA 2009, Proceedings
Pages784-788
Number of pages5
DOIs
StatePublished - 15 Jul 2009
Event14th International Conference on Database Systems for Advanced Applications, DASFAA 2009 - Brisbane, QLD, Australia
Duration: 21 Apr 200923 Apr 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5463
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other14th International Conference on Database Systems for Advanced Applications, DASFAA 2009
CountryAustralia
CityBrisbane, QLD
Period21/04/0923/04/09

Keywords

  • Information retrieval
  • Standards
  • Web mining

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    Varde, A., Suchanek, F., Nayak, R., & Senellart, P. (2009). Knowledge discovery over the deep web, semantic web and XML. In Database Systems for Advanced Applications - 14th International Conference, DASFAA 2009, Proceedings (pp. 784-788). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5463). https://doi.org/10.1007/978-3-642-00887-0_73