Knowledge Discovery over the Deep Web, Semantic Web and XML

Authors:
Aparna Varde;Fabian Suchanek;Richi Nayak;Pierre Senellart
Affiliations:
Department of Computer Science, Montclair State University, Montclair, USA;Databases and Information Systems, Max Planck Institute for Informatics, Saarbrucken, Germany;Faculty of Information Technology, Queensland University of Technology, Brisbane, Australia;Department of Computer Science and Networking, Telecom Paristech, Paris, France
Venue:
DASFAA '09 Proceedings of the 14th International Conference on Database Systems for Advanced Applications
Year:
2009

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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.