Advertisement

From Ontology to NL: Generation of Multilingual User-Oriented Environmental Reports

  • Nadjet Bouayad-Agha
  • Gerard Casamayor
  • Simon Mille
  • Marco Rospocher
  • Horacio Saggion
  • Luciano Serafini
  • Leo Wanner
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7337)

Abstract

Natural Language Generation (NLG) from knowledge bases (KBs) has repeatedly been subject of research. However, most proposals tend to have in common that they start from KBs of limited size that either already contain linguistically-oriented knowledge structures or to whose structures different ways of realization are explicitly assigned. To avoid these limitations, we propose a three layer OWL-based ontology framework in which domain, domain communication and linguistic knowledge structures are clearly separated and show how a large scale instantiation of this framework in the environmental domain serves multilingual NLG.

Keywords

Description Logic Domain Ontology Birch Pollen Discourse Structure Domain Communication 
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.
    Bateman, J.: Enabling technology for multilingual natural language generation: the KPML development environment. Natural Language Engineering 3, 15–55 (1997)CrossRefGoogle Scholar
  2. 2.
    Bontcheva, K., Wilks, Y.: Automatic Report Generation from Ontologies: The MIAKT Approach. In: Meziane, F., Métais, E. (eds.) NLDB 2004. LNCS, vol. 3136, pp. 324–335. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  3. 3.
    Hovy, E.: Generating Natural Language under Pragmatic Constraints. Lawrence Erlbaum, Hillsdale (1988)Google Scholar
  4. 4.
    Paris, C.: User Modelling in Text Generation. Frances Pinter Publishers, London (1993)Google Scholar
  5. 5.
    Mellish, C., Pan, J.: Natural language directed inference from ontologies. Artificial Intelligence 172, 1285–1315 (2010)MathSciNetCrossRefGoogle Scholar
  6. 6.
    Bouttaz, T., Pignotti, E., Mellish, C., Edwards, P.: A policy-based approach to context dependent natural language generation. In: Proceedings of the 13th European Workshop on Natural Language Generation, Nancy, France, pp. 151–157 (2011)Google Scholar
  7. 7.
    Bouayad-Agha, N., Casamayor, G., Wanner, L., Díez, F., López Hernández, S.: FootbOWL: Using a Generic Ontology of Football Competition for Planning Match Summaries. In: Antoniou, G., Grobelnik, M., Simperl, E., Parsia, B., Plexousakis, D., De Leenheer, P., Pan, J. (eds.) ESWC 2011, Part I. LNCS, vol. 6643, pp. 230–244. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  8. 8.
    Kittredge, R., Korelsky, T., Rambow, O.: On the need for domain communication knowledge. Computational Intelligence 7, 305–314 (1991)CrossRefGoogle Scholar
  9. 9.
    Tonelli, S., Rospocher, M., Pianta, E., Serafini, L.: Boosting collaborative ontology building with key-concept extraction. In: Proceedings of 5th IEEE International Conference on Semantic Computing, IEEE ICSC 2011 (2011)Google Scholar
  10. 10.
    Lareau, F., Wanner, L.: Towards a generic multilingual dependency grammar for text generation. In: King, T., Bender, E. (eds.) Proceedings of the GEAF 2007 Workshop, pp. 203–223. CSLI, Stanford (2007)Google Scholar
  11. 11.
    Sowa, J.: Knowledge Representation. Brooks Cole, Pacific Grove (2000)Google Scholar
  12. 12.
    Lester, J.C., Porter, B.: Developing and empirically evaluating robust explanation generators: The knight experiments. Computational Linguistics Journal 23, 65–101 (1997)Google Scholar
  13. 13.
    Wanner, L., Vrochidis, S., Tonelli, S., Moßgraber, J., Bosch, H., Karppinen, A., Myllynen, M., Rospocher, M., Bouayad-Agha, N., Bügel, U., Casamayor, G., Ertl, T., Kompatsiaris, I., Koskentalo, T., Mille, S., Moumtzidou, A., Pianta, E., Saggion, H., Serafini, L., Tarvainen, V.: Building an Environmental Information System for Personalized Content Delivery. In: Hřebíček, J., Schimak, G., Denzer, R. (eds.) ISESS 2011. IFIP AICT, vol. 359, pp. 169–176. Springer, Heidelberg (2011)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Nadjet Bouayad-Agha
    • 1
  • Gerard Casamayor
    • 1
  • Simon Mille
    • 1
  • Marco Rospocher
    • 2
  • Horacio Saggion
    • 1
  • Luciano Serafini
    • 2
  • Leo Wanner
    • 1
    • 3
  1. 1.DTICUniversitat Pompeu FabraSpain
  2. 2.Fondazione Bruno KesslerItaly
  3. 3.Institució Catalana de Recerca i Estudis AvançatsSpain

Personalised recommendations