Ontology Learning from Text Task

From GM-RKB
Jump to: navigation, search

An ontology learning from text task is an ontology update task (ontology design and/or ontology population) that is a supervised information extraction task.



References

2015

2014

  1. A. Maedche and S. Staab. Learning ontologies for the semantic web. In Semantic Web Worskhop 2001.
  2. Marti A. Hearst. Automatic acquisition of hyponyms from large text corpora. In: Proceedings of the Fourteenth International Conference on Computational Linguistics, pages 539--545, Nantes, France, July 1992.
  3. Roberto Navigli and Paola Velardi. Learning Domain Ontologies from Document Warehouses and Dedicated Web Sites, Computational Linguistics, 30(2), MIT Press, 2004, pp. 151-179.

2012

2011

2010

2009

2008

2007

  • (Zhou, 2007) ⇒ Lina Zhou. (2007). “Ontology Learning: State of the Art and Open Issues.” In: Information Technology and Management, 8(3). doi:10.1007/s10799-007-0019-5
    • ABSTRACT: … This paper provides a comprehensive review and discussion of major issues, challenges, and opportunities in ontology learning. ...

2006

2005

2004

2003

2002

  • (Ding & Foo, 2002) ⇒ Ying Ding, and Schubert Foo. (2002). “Ontology Research and Development. Part 1 - a review of ontology generation.” In: Journal of Information Science, 28(2). doi:10.1177/016555150202800204
    • QUOTE: … This survey is presented in two parts. The first part reviews the state-of-the-art techniques and work done on semi-automatic and automatic ontology generation, as well as the problems facing such research. ...