Skip to main content

A Survey of Knowledge Organization Systems in Environmental Sciences

  • Conference paper
  • First Online:
Information Technologies in Environmental Engineering

Part of the book series: Environmental Science and Engineering ((ENVENG))

Abstract

There is an abundance of environmental information. It includes information that is being collected, processed and stored from various sources, such as climate and atmospheric data, data related to water quality and groundwater levels, or information on the diversity and productivity of delicate ecosystems. As this information is being continuously made available to various information management systems, it is an open challenge to effectively represent it, store it and organize it. To this end, Knowledge Organization Systems (KOSs) of the environmental domain have been introduced, trying to facilitate the analysis, search and reusability of such information. This paper tries to provide an introduction to environmental KOSs, by giving an overview of their current development.

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 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover 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

  • Bechofer, S., Goble, C., (2001). Thesaurus Construction through Knowledge Representation. Journal of Data & Knowledge Engineering, 37 (2001) 25-45.

    Article  Google Scholar 

  • Franklin, J. F., Bledsoe, C. S. & Callahan, J.T., (1990). Contributions of the Long-term Ecological Research Program: An Expanded Network of Scientists, Sites, and Programs Can Provide Crucial Comparative Analyses. BioScience, 40 (7), 1990, pp. 509-523.

    Article  Google Scholar 

  • Gruber, T., R., (1993). A translation approach to portable ontology specifications, knowledge acquisition. Special issue: Current Issues in Knowledge Modelling, Vol 5, Issue 2, 199–220.

    Google Scholar 

  • Hodge, G. (2000). Systems of Knowledge Organization for Digital libraries. Beyond traditional authority files. Washington, DC: the Council on Library and Information Resources.

    Google Scholar 

  • IEEE, (1986). Standard Taxonomy for Software Engineering Standards (ANSI). The Institute of Electrical and Electronics Engineers Inc.

    Google Scholar 

  • Karasti, H., Baker, K.S., (2004). Infrastructuring for the Long-Term: Ecological Information Management. hicss, pp.10020c, Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS’04) - Track 1.

    Google Scholar 

  • Loose, R., M., (2006). Decisions in thesaurus construction and use. Journal of Information Processing and Management,43 (2007) pp. 958–968.

    Google Scholar 

  • NKOS (Networked Knowledge Organization Systems). (2000). Taxonomyof knowledge organization sources/systems. Based on Hodge, G. (2000). Systems of knowledge organization for digital libraries: Beyond traditional authority files, CLIR Pub91. Available: http://nkos.slis.kent.edu/KOSS_taxonomy.htm

  • Olson, Hope A., & Boll, J.J. (2001). Subject analysis in online catalogs. Englewood, CO: Libraries Unlimited, 2001.

    Google Scholar 

  • Sowa, J.F., (1987). Semantic Networks. In Stuart C Shapiro Encyclopedia of Artificial Intelligence. Retrieved on 29 April 2008.

    Google Scholar 

  • Tudhope, D., & Nielsen, M.L., (2006). Introduction to Knowledge Organization Systems and Services. New Review of Hypermedia and Multimedia,12(1), pp.3-9.

    Article  Google Scholar 

  • Wang, W.M., Cheung, C.F., Lee, W.B., Kwok, S.K., (2008). Self-associated concept mapping for representation, elicitation and inference of knowledge, Knowledge-Based Systems, Volume 21, Issue 1, February 2008, pp. 52-61

    Article  CAS  Google Scholar 

  • Zeng, M., L., Chan L., M., (2004). Trends and Issues in Establishing Interoperability Among Knowledge Organization Systems Journal of the American Society for Information Science and Technology, 55 (5):377–395, 2004.

    Google Scholar 

Download references

Acknowledgements

The work presented in this paper has been funded with support by the European Commission, and more specifically the project ECP-2006-EDU-410012 “Organic.Edunet: A Multilingual Federation of Learning Repositories with Quality Content for the Awareness and Education of European Youth about Organic Agriculture and Agroecology” of the eContentplus Programme.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nikos Palavitsinis .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Palavitsinis, N., Manouselis, N. (2009). A Survey of Knowledge Organization Systems in Environmental Sciences. In: Athanasiadis, I.N., Rizzoli, A.E., Mitkas, P.A., Gómez, J.M. (eds) Information Technologies in Environmental Engineering. Environmental Science and Engineering(). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88351-7_38

Download citation

Publish with us

Policies and ethics