Advertisement

An Ontological Approach for the Quality Assessment of Computer Science Conferences

  • Maria Aparecida M. Souto
  • Mariusa Warpechowski
  • José Palazzo M. de Oliveira
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4802)

Abstract

Today the proliferation of the availability of the information of scientific events on the Web has created the necessity to offer a quickly access to up-to-date information about the quality of these events. This requirement demands for (semi) automatic tools to speedily provide this information. The human-performed activity of the information quality evaluation is extremely time consuming and easily leads to failures. The application OntoQualis here described was motivated to support the quality evaluation of Scientific Conferences, in the Computer Science area, based on the graduated programs evaluation protocol of the Brazilian agency CAPES. The evaluation mechanism is specified in the QUALIS document specifically designed to assess journals and conferences ranking. This paper presents a brief vision of the ongoing process of domain analysis and ontology prototyping aiming to classify Scientific Conferences: the OntoQualis project. Some results of OntoQualis preliminary evaluation have shown a satisfactory classification level in comparison with CAPES-QUALIS ranking.

Keywords

Quality Evaluation Program Committee Ontological Model Impact Index Ontological Approach 
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.
    Hirsh, J.E.: An index to quantify an individual’s scientific research output. In: Proceedings of the National Academy of Sciences of the United States of America, November 15, 2005, vol. 102(46), pp. 16569–16572 (2005)Google Scholar
  2. 2.
    CAPES 2007 (March 2007), http://servicos.capes.gov.br/webqualis/
  3. 3.
    Wuchty, S., Jones, B.F., Uzzi, B.: The Increasing Dominance of Teams in Production of Knowledge. Science (published online April 12, 2007), doi:10.1126/science.1136099Google Scholar
  4. 4.
    Leimu, H., Koricheva, J.: What determines the citation frequency of ecological papers? TRENDS in Ecology and Evolution 20(1), 28–32 (2005)CrossRefGoogle Scholar
  5. 5.
    Barnes, S.J.: Assessing the value of IS journals. Communications of the ACM 48(1), 110–112 (2005), http://doi.acm.org/10.1145/1039539.1039573 CrossRefGoogle Scholar
  6. 6.
    Mylonopoulos, V.T.: On site: global perceptions of IS journals. Communications of the ACM 44(9), 29–33 (2001), http://doi.acm.org/10.1145/383694.383701 CrossRefGoogle Scholar
  7. 7.
  8. 8.
    Noy, N.F., McGuinness, D.L.: Ontology development 101: a guide to creating your first ontology. Technical report KSL-01-05, Stanford Knowledge Systems LaboratoryGoogle Scholar
  9. 9.
    Guarino, N.: Formal ontology and Information Systems. In: FOIS 1998. International conference on Formal Ontologies in Information Systems, Trento, Italy, pp. 3–15 (1998) Google Scholar
  10. 10.
    Horridge, M., Knublauch, H., Rector, A., Stevens, R., Wroe, C.: A Practical Guide to Building OWL Ontologies Using The Protégé-OWL Plugin and CO-ODE Tools (2004), http://www.co-ode.org/resources/tutorials/ProtegeOWLTutorial.pdf
  11. 11.
    Protegé, julho (2006), http://protege.standford.edu
  12. 12.
    Racer OWL Reasoner, julho (2006), http://www.sts.tu-harburg.de/~r.f.moeller/racer/

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Maria Aparecida M. Souto
    • 1
  • Mariusa Warpechowski
    • 1
  • José Palazzo M. de Oliveira
    • 1
  1. 1.Instituto de Informática – Universidade Federal do Rio Grande do Sul (UFRGS), Caixa Postal 15.064 – 91.501-970 – Porto Alegre – RSBrasil

Personalised recommendations