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The Problem of Constructing General-Purpose Semantic Search Engines

  • Luis Criado Fernández
  • Rafael Martínez-Tomás
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5601)

Abstract

This work proposes the basic ideas to achieve a really semantic search. For this, first the number of semantic web sites must be increased which, on the one hand, maintain compatibility with the current Web and, on the other, offer different interpretations (now with semantics) of the same information according to different ontologies. Thus, the design of tools is proposed that facilitate this translation of HTML contents into OWL contents, as we say, possibly, according to different ontologies. The article continues by analysing the possible functionalities that we consider a semantic search engine based on the Semantic Web paradigm must support and by presenting a general-purpose search engine prototype on the two structures, current and semantic.

Keywords

Search Engine Natural Language Processing Semantic Annotation True Knowledge Natural Language Processing Technique 
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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References

  1. 1.
    Berners-Lee1, T.: Semantic Web Road map (1998), Disponible en Web: http://www.w3.org/DesignIssues/Semantic.html
  2. 2.
    Bergman, M.K.: Obra original: The Deep Web: Surfacing Hidden Value. Journal of Electronic Publishing 7(1) (2001), http://quod.lib.umich.edu/cgi/t/text/text-idx?c=jep;view=text;rgn=main;idno=3336451.0007.104, http://hdl.handle.net/2027/spo.3336451.0007.104
  3. 3.
    Criado Fernández, L.: Tesis doctoral, Procedimiento semi-automático para transformar la Web en Web Semántica; Rafael Martinez Tomás (director). Universidad Nacional de Educación a Distancia. Escuela Técnica Superior de Ingeniería Informática, Madrid (2009)Google Scholar
  4. 4.
    Prud’hommeaux, E., Seaborne, A.: SPARQL Query Language for RDF (2006), Disponible en Web: http://www.w3.org/TR/rdf-sparql-query/
  5. 5.
    O’Neill, E.T., Lavoie, B.F., Bennett, R.: Obra original: Trends in the Evolution of the Public Web. Web: D-Lib Magazine 9(4) (2003) ISSN 1082-9873, Disponible en Web: http://www.dlib.org/dlib/april03/lavoie/04lavoie.html
  6. 6.
    Smith, M.K., Welty, C., McGuinness, D.L.: OWL Web Ontology Language Guide, online: W3C (2004), Disponible en Web: http://www.w3.org/TR/owl-guide/
  7. 7.
    Hakia Semantic Search Engine, http://www.hakia.com/
  8. 8.
    Powerset Semantic Search Engine, http://www.powerset.com/
  9. 9.
    True Knowledge Semantic Search Engine, http://www.trueknowledge.com/
  10. 10.
  11. 11.
    Webposible: Microformatos Dublin Core, http://www.webposible.com/microformatos-dublincore/
  12. 12.
  13. 13.
  14. 14.
    Vissem search engine prototype, http://www.vissem.criado.org/
  15. 15.
    Information on ISOCO search engine, http://www.isoco.com/buscador_tramites.htm

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Luis Criado Fernández
    • 1
  • Rafael Martínez-Tomás
    • 1
  1. 1.Dpto. Inteligencia Artificial. Escuela Técnica Superior de Ingeniería InformáticaUniversidad Nacional de Educación a DistanciaMadridSpain

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