Lúcia Morais Kinceler, Angelo Mendes Massignam, José Leomar Todesco


The importance of meteorological and hydrological data observation stations has grown substantially in recent years to meet the most diverse demands; ranging from environmental studies related to climate change and hydrological studies for water use, up to traditional monitoring work to prevent disasters through the use of forecast models of weather and water level control to contain the flow of rivers. The effort by governmental institutions, with support from the private sector expanded the network of observation stations in the State of Santa Catarina, Brazil. However, access to such data is still restricted to few technical people or to a group of users that access a web information system tailored for them. This paper presents the steps for developing a prototype of an ontology which serves to facilitate data access for web users not familiar with either specific concepts or the domain terminology. The goal for building the prototype is to understand the steps and implications using two complementary tools such as OntoKEM and Protégé for ontology construction.


  1. Síntese Anual da Agricultura de Santa Catarina 2007- 2008. (2008). Florianópolis, SC: Epagri/Cepa.
  2. Chandrasekaran, et al., 1998. Ontology of Tasks and Methods. In: Proceedings of the Workshop on Applications of Ontologies and Problem-Solving Methods, held in conjunction with ECAI'98, Brighton, UK, p. 31-43.
  3. Conner, G., 2004. History of Weather Observations College Hill, Ohio. Weather, (October).
  4. El-Diraby, T. A. & Lima, C., 2005. Domain taxonomy for construction concepts: toward a formal ontology for construction knowledge. Journal of computing in civil engineering, 19 (October), p.394.
  5. Fensel, D.; Hermelen, F. van. On-To-Knowledge: ContentDriven Knowledge Management Tools through Evolving Ontologies. Retrieved from: http://www., 2008
  6. Gennari, J. H., et al., 2003. The Evolution of Protégé: An Environment for Knowledge-Based Systems Development. International Journal of HumanComputer Studies, 58, pp. 89-123.
  7. Gómez-Pérez, A, et al., 2004. Ontologic Engineering: with examples from the areas of knowledge management, ecommerce and the semantic web. Springer-Verlag.
  8. Heijmans, J., 2002. An introduction to distributed visualization. Delft University of Technology, p.74.
  9. Knublauch, H., 2002. An Agile Development Methodology for Knowledge-based Systems. Ulm: University of Ulm, 2002. 216 p. Doctoral Thesis: University of Ulm, Berlin.
  10. Noy, N. F. and Mcguinness, D. L., 2000. Ontology Development 101: A Guide to Creating Your First Ontology. Stanford Knowledge Systems Laboratory Technical Report KSL-01-05, pp.1-25.
  11. Oberle, D. et al., 2004. An extensible ontology software environment. In Handbook on Ontologies, International Handbooks on Information Systems. p. 311-333.
  12. Oblack, R. A History of the Development of the National Weather Service 1753-1891. Weather History: Meteorological Agencies in the United States. Retrieved from: weatherhistory/tp/Signal_Service.htm , 2011.
  13. Rautenberg, S. et al., 2008. Uma Metodologia para o Desenvolvimento de Ontologias Revista Ciências Exatas e Naturais, 10(2), pp.237-262.
  14. Russell, S. and Norvig, P. Artficial Intelligence: A Modern Approach. Prentice-Hall, Saddle River, NJ, 1995, 946 p.
  15. SantAnna-Neto, J. L., 2003. A Gênese Da Climatologia No Brasil: O Despertar de Uma Ciência. Geografia, 28(1), pp.5-27.
  16. Schreiber, G., et al., 2000. Knowledge Engineering and Management. The CommonKADS Methodology. London: MIT Press, 455p.
  17. Weiten, M., 2009. OntoSTUDIO® as a Ontology Engineering Ontology Engineering Tools: State of the Art. In Journal of Web Semantics, pp. 51-60.

Paper Citation

in Harvard Style

Morais Kinceler L., Mendes Massignam A. and Leomar Todesco J. (2011). AN ONTOLOGY FOR A HYDRO-METEOROLOGICAL OBSERVATION NETWORK . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011) ISBN 978-989-8425-80-5, pages 145-151. DOI: 10.5220/0003626701450151

in Bibtex Style

author={Lúcia Morais Kinceler and Angelo Mendes Massignam and José Leomar Todesco},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011)},

in EndNote Style

JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011)
SN - 978-989-8425-80-5
AU - Morais Kinceler L.
AU - Mendes Massignam A.
AU - Leomar Todesco J.
PY - 2011
SP - 145
EP - 151
DO - 10.5220/0003626701450151