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Information Gathering in a Dynamic World

  • Thomas Hornung
  • Kai Simon
  • Georg Lausen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4187)

Abstract

Web resources with constantly fluctuating content, such as virtual market places, are becoming more and more relevant as information resources. Classic search engines, unfortunately, crawl and index the Web in sporadic intervals and therefore rely on outdated information. In this paper we present OntoGather, a framework based on ontology-driven inferences on dynamically gathered annotated instances from the Web, which consists of two main components: the Web data-extraction and annotation system ViPER and the deductive object-oriented database system Florid.

Keywords

User Query Communication Interface Ontology Property Dynamic World Background Ontology 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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    Frohn, J., Himmeröder, R., Kandzia, P.T., Lausen, G., Schlepphorst, C.: FLORID: A Prototype for F-Logic. In: ICDE 1997, p. 583. IEEE Computer Society, Los Alamitos (1997)Google Scholar
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    Kifer, M., Lausen, G., Wu, J.: Logical Foundations of Object-Oriented and Frame-Based Languages. J. ACM 42, 741–843 (1995)MATHCrossRefMathSciNetGoogle Scholar
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    Baumgartner, R., Flesca, S., Gottlob, G.: Visual Web Information Extraction with Lixto. In: VLDB, pp. 119–128 (2001)Google Scholar
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    Simon, K., Lausen, G.: ViPER: Augmenting Automatic Information Extraction with Visual Perceptions. In: ACM CIKM 2005, Bremen, Germany, November 2005, pp. 381–388. ACM Press, New York (2005)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Thomas Hornung
    • 1
  • Kai Simon
    • 1
  • Georg Lausen
    • 1
  1. 1.Institute of Computer ScienceAlbert-Ludwigs University FreiburgGermany

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