Ontology Learning

Date: September 21, 2012

Speaker: Jonathan Mortensen, BMIR, Stanford University

Abstract

Using automated methods to construct an ontology. Traditionally this is done by leveraging a text corpus relevant to the domain of interest.

Readings for Discussion:

    • Kozareva Z, Hovy E. A semi-supervised method to learn and construct taxonomies using the web. In: Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing.; 2010:1110–1118. (http://dl.acm.org/citation.cfm?id=1870766)
    • Navigli R, Velardi P, Faralli S. A Graph-based Algorithm for Inducing Lexical Taxonomies from Scratch. In: Proceedings of the 22nd International Joint Conference on Artificial Intelligence. Barcelona, Spain; 2011:1872–1877. (http://ijcai.org/papers11/Papers/IJCAI11-313.pdf)

References

  • Buitelaar P, Olejnik D, Sintek M. A protégé plug-in for ontology extraction from text based on linguistic analysis. The Semantic Web: Research and Applications. 2004:31–4
  • Velardi P, Navigli R, Cuchiarelli A, Neri R. Evaluation of OntoLearn, a methodology for automatic learning of domain ontologies. Ontology Learning from Text: Methods, evaluation and applications. 2005:92–106.
      • Cimiano P. Ontology Learning and Population from Text: Algorithms, Evaluation and Applications. Springer; 2006.
  • Staab S, Studer R. Handbook on Ontologies. Springer; 2009. (See Ontology Learning Chapter)
  • Cimiano P, Völker J. Text2Onto - A Framework for Ontology Learning and Data-driven Change Discovery. In: Montoyo A, Munoz R, Metais E, eds. Proceedings of the 10th International Conference on Applications of Natural Language to Information Systems (NLDB).Vol 3513. Lecture Notes in Computer Science. Alicante, Spain: Springer; 2005:227–238.

*Will not be discussed, but available for the interested individual.