Skip to main content

An Ontology for Quantities in Ecology

  • Conference paper
Book cover Advances in Artificial Intelligence – SBIA 2004 (SBIA 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3171))

Included in the following conference series:

Abstract

Ecolingua is an ontology for ecological quantitative data, which has been designed through reuse of a conceptualisation of quantities and their physical dimensions provided by the EngMath family of ontologies. A hierarchy of ecological quantity classes is presented together with their definition axioms in first-order logic. An implementation-level application of the ontology is discussed, where conceptual ecological models can be synthesised from data descriptions in Ecolingua through reuse of existing model structures.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Brilhante, V.: Ontology and Reuse in Model Synthesis. PhD thesis, School of Informatics, University of Edinburgh (2003)

    Google Scholar 

  2. DARPA Agent Markup Language, http://www.daml.org/2001/03/ , Defense Advanced Research Projects Agency (2001) (last accessed on 10 March 2004)

  3. Ellis, B.: Basic Concepts of Measurement. Cambridge University Press, London (1966)

    Google Scholar 

  4. Ford, A.: Modeling the Environment: an Introduction to System Dynamics Modeling of Environmental Systems. Island Press (1999)

    Google Scholar 

  5. Genesereth, M., Fikes, R.: Knowledge Interchange Format, Version 3.0, Reference Manual, Logic-92-1 (1992) Logic Group, Computer Science Department, Stanford University, Stanford, California

    Google Scholar 

  6. Gruber, T., Olsen, G.: An Ontology for Engineering Mathematics. In: Proceedings of the Fourth International Conference on Principles of Knowledge Representation and Reasoning, Bonn, Germany, Morgan Kaufmann, San Francisco (1994)

    Google Scholar 

  7. Kashyap, V.: Design and Creation of Ontologies for Environmental Information Retrieval. In: Proceedings of the Twelfth International Conference on Knowledge Acquisition, Modeling and Management (1999), Banff, Canada (1999)

    Google Scholar 

  8. Massey, B.: Measures in Science and Engineering: their Expression, Relation and Interpretation, Ellis Horwood Limited (1986)

    Google Scholar 

  9. Niven, B.: Formalization of the Basic Concepts of Animal Ecology. Erkenntnis 17, 307–320 (1982)

    Article  Google Scholar 

  10. Niven, B.: Formalization of Some Concepts of Plant Ecology. Coenoses 7(2), 103–113 (1992)

    Google Scholar 

  11. Ontolingua Server (2002), http://ontolingua.stanford.edu , Knowledge Systems Laboratory, Department of Computer Science, Stanford University (last accessed on March 10, 2004)

  12. Ontology Web Language (2004), http://www.w3.org/2001/sw/WebOnt , WebOnt Working Group, W3C (last accessed on March 10, 2004)

  13. Pinto, H.: Towards Ontology Reuse. In: Papers from the AAAI-99 Workshop on Ontology Management, WS-99-13, Orlando, Florida, pp. 67–73. AAAI Press, Menlo Park (1999)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Brilhante, V. (2004). An Ontology for Quantities in Ecology. In: Bazzan, A.L.C., Labidi, S. (eds) Advances in Artificial Intelligence – SBIA 2004. SBIA 2004. Lecture Notes in Computer Science(), vol 3171. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28645-5_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-28645-5_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23237-7

  • Online ISBN: 978-3-540-28645-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics