Advertisement

Enriching WordNet to Index and Retrieve Semantic Information

  • Angioni Manuela
  • Demontis Roberto
  • Tuveri Franco

The work illustrated in this paper is part of the DART search engine. Its main goal is to index and retrieve information both in a generic and in a specific context where documents can be mapped or not on ontologies, vocabularies and thesauri. To achieve this goal, a semantic analysis process on structured and unstructured parts of documents is performed. The unstructured parts need a linguistic analysis and a semantic interpretation performed by means of Natural Language Processing (NLP) techniques, while the structured parts need a specific parser. Semantic keys are extracted from documents starting from the semantic net of WordNet and enriching it of new nodes, links and attributes.

Keywords

Conceptual Mapping Natural Language Processing Distribute Hash Table Word Sense Disambiguation Open Geospatial Consortium 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Angioni, M. et al.: DART: The Distributed Agent-Based Retrieval Toolkit. in Proc. of CEA 07, pp. 425–433 Gold Coast — Australia (2007)Google Scholar
  2. 2.
    Angioni, M. et al.: User Oriented Information Retrieval in a Collaborative and Context Aware Search Engine. WSEAS Transactions on Computer Research, ISSN: 1991– 8755, vol. 2 issue 1, pp. 79–86 (2007)Google Scholar
  3. 3.
    Miller et al.: WordNet: An Electronic Lexical Database, Bradford Books, (1998)Google Scholar
  4. 4.
    Geonames, http://www.geonames.org/ Accessed 7 March 2008
  5. 5.
    Magnini, B. et al.: The Role of Domain Information in Word Sense Disambiguation. Natural Language Engineering, special issue on Word Sense Disambiguation, 8(4), pp. 359–373, Cambridge University Press (2002)Google Scholar
  6. 6.
    Wordnet in RDFS and OWL, http://www.w3.org/2001/sw/BestPractices/WNET/wordnet-sw-20040713.html Accessed 7 March 2008
  7. 7.
    SKOS, Simple Knowledge Organisation Systems (2004) http://www.w3.org/2004/02/skos/ Accessed 7 March 2008
  8. 8.
    Sleator, DD., Temperley, D.: Parsing English with a Link Grammar. Third International Workshop on Parsing Technologies (1993)Google Scholar
  9. 9.
    Scott, S., Matwin, S.: Text Classification using WordNet Hypernyms. COLING/ACL Workshop on Usage of WordNet in Natural Language Processing Systems, Montreal.Google Scholar
  10. 10.
    Magnini, B., Strapparava, C.: User Modelling for News Web Sites with Word Sense Based Techniques. User Modeling and User-Adapted Interaction 14(2), pp. 239–257 (2004)CrossRefGoogle Scholar
  11. 11.
    Uniform Resource Identifier, http://gbiv.com/protocols/uri/rfc/rfc3986.html Accessed 7 March 2008
  12. 12.
    Wikipedia, http://www.wikipedia.org/ Accessed 7 March 2008
  13. 13.
    Harabagiu, Miller, Moldovan WordNet 2 — A Morphologically and Semantically Enhanced resource. Workshop SIGLEX'99: Standardizing Lexical Resources (1999)Google Scholar
  14. 14.
    GraphML Working Group: The GraphML file format. http://graphml.graphdrawing.org/ Accessed 7 March 2008
  15. 15.
    GEneral Multilingual Environmental Thesaurus – GEMET http://www.eionet.europa.eu/gemet/ Accessed 7 March 2008
  16. 16.
    Mata, E.J. et al. Semantic disambiguation of thesaurus as a mechanism to facilitate multilingual and thematic interoperability of Geographical Information Catalogues. th Proceedings 5th AGILE Conference, Universitat de les Illes Balears, pp. 61–66 (2002)Google Scholar
  17. 17.
    Geonames, http://www.geonames.org/ontology/ Accessed 7 March 2008
  18. 18.
  19. 19.
    Open Geospatial Consortium — OGC, http://www.opengeospatial.org/ Accessed 7 March 2008

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  1. 1.CRS4 - Center for Advanced Studies, Research and Development in SardiniaPulaItaly

Personalised recommendations