Knowledge Discovery over deep Web, Semantic Web and XML
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 realworld applications.
Authors:
- Aparna Varde, Department of Computer Science, Montclair State University, Montclair, NJ, USA
- Fabian Suchanek, Databases and Information Systems, Max Planck Institute for Informatics, Saarbrucken, Germany
- Richi Nayak, Faculty of Information Technology, Queensland University of Technology, Brisbane, Australia
- Pierre Senellart, Department of Computer Science and Networking, Telecom Paristech, Paris, France
| Attachment | Size |
|---|---|
| DASFAAwebminingSlides.pdf | 1.47 MB |
