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On the Need to Bootstrap Ontology Learning with Extraction Grammar Learning

  • Georgios Paliouras
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3596)

Abstract

The main claim of this paper is that machine learning can help integrate the construction of ontologies and extraction grammars and lead us closer to the Semantic Web vision. The proposed approach is a bootstrapping process that combines ontology and grammar learning, in order to semi-automate the knowledge acquisition process. After providing a survey of the most relevant work towards this goal, recent research of the Software and Knowledge Engineering Laboratory (SKEL) of NCSR “Demokritos” in the areas of Web information integration, information extraction, grammar induction and ontology enrichment is presented. The paper concludes with a number of interesting issues that need to be addressed in order to realize the advocated bootstrapping process.

Keywords

Information Extraction Domain Ontology Formal Concept Analysis Conceptual Graph Extraction Task 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Georgios Paliouras
    • 1
  1. 1.Institute of Informatics and TelecommunicationsNCSR “Demokritos”Greece

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