Semantic Content Access using Domain-Independent NLP Ontologies

Abstract

We present a lightweight, user-centred approach for document navigation and analysis that is based on an ontology of text mining results. This allows us to bring the result of existing text mining pipelines directly to end users. Our approach is domain-independent and relies on existing NLP analysis tasks such as automatic multi-document summarization, clustering, question-answering, and opinion mining. Users can interactively trigger semantic processing services for tasks such as analyzing product reviews, daily news, or other document sets.

Reference

René Witte and Ralf Krestel. Semantic Content Access using Domain-Independent NLP Ontologies. 15th International Conference on Applications of Natural Language to Information Systems (NLDB 2010), June 23–25, Cardiff, UK. Springer LNCS 6177, pp. 36–47. (Acceptance rate: 30%)

Bibtex entry (also for download):

@InProceedings{nldb2010a,
  author = 	 {Ren\'{e} Witte and Ralf Krestel},
  title = 	 {{Semantic Content Access Using Domain-Independent NLP Ontologies}},
  booktitle =	 {15th International Conference on Applications of Natural Language 
                  to Information Systems (NLDB 2010)},
  pages =	 {36--47},
  year =	 {2010},
  editor =	 {Christina J. Hopfe and Yacine Rezgui and Elisabeth M\'{e}tais 
                  and Alun D. Preece and Haijiang Li},
  number =	 {6177},
  series =	 {LNCS},
  address =	 {Cardiff, UK},
  month =	 {June 23--25},
  publisher =	 {Springer},
  note =	 {DOI: 10.1007/978-3-642-13881-2_4}
}

Software

See the Semantic Assistants project and the OWLExporter component if you are interested in the described approach.

Download

Online version at SpringerLink.
Local copy: nldb2010-ontonlp.pdf
MD5 checksum: 57ae814a1fd8d2e01927ad6c53e1b17e

Copyright © 2010 Springer-Verlag. This is the author's version of the work. It is posted here by permission of Springer for your personal use. Not for redistribution. DOI: 10.1007/978-3-642-13881-2_4.