Information extraction for the semantic web

  • Authors:

  • Robert Baumgartner;Thomas Eiter;Georg Gottlob;Marcus Herzog;Christoph Koch

  • Affiliations:

  • Database and Artificial Intelligence Group, Institute of Information Systems, Vienna University of Technology, Vienna, Austria;Knowledge-Based Systems Group, Institute of Information Systems, Vienna University of Technology, Vienna, Austria;Database and Artificial Intelligence Group, Institute of Information Systems, Vienna University of Technology, Vienna, Austria;Database and Artificial Intelligence Group, Institute of Information Systems, Vienna University of Technology, Vienna, Austria;Database and Artificial Intelligence Group, Institute of Information Systems, Vienna University of Technology, Vienna, Austria

  • Venue:
  • Proceedings of the First international conference on Reasoning Web
  • Year:
  • 2005

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Abstract

The World Wide Web represents a universe of knowledge and information. Unfortunately, it is not straightforward to query and access the desired information. Languages and tools for accessing, extracting, transforming, and syndicating the desired information are required. The Web should be useful not merely for human consumption but additionally for machine communication. Therefore, powerful and user-friendly tools based on expressive languages for extracting and integrating information from various different Web sources, or in general, various heterogeneous sources are needed. The tutorial gives an introduction to Web technologies required in this context, and presents various approaches and techniques used in information extraction and integration. Moreover, sample applications in various domains motivate the discussed topics and providing data instances for the Semantic Web is illustrated.