Ontology Construction in Tea Pest Domain | SpringerLink
Skip to main content

Ontology Construction in Tea Pest Domain

  • Conference paper
Linked Data and Knowledge Graph (CSWS 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 406))

Included in the following conference series:

Abstract

Ontology is a conceptual model for the expression of shared knowledge. In this paper, we propose a method to construct an ontology in the tea pest domain by ontology reasoning and evaluation. The constructed ontology lays a solid foundation for agricultural ontology services, such as diagnosis and control of tea pests, information resources sharing for tea farmers and knowledge reuse in the domain of tea science.

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

Access this chapter

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 5719
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 7149
Price includes VAT (Japan)
  • 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.

Similar content being viewed by others

References

  1. Studer, R., Benjamins, V.R., Fensel, D.: Knowledge Engineering, Principles and Methods. Data and Knowledge Engineering 25(1), 161–197 (1998)

    Article  MATH  Google Scholar 

  2. Qian, P., Zheng, Y.: Agricultural Ontology Theory Research and Application. China Agricultural Science and Technology Press, Beijing (2006)

    Google Scholar 

  3. Sini, M., Salokhe, G., Pardy, C., et al.: Ontology-based Navigation of Bibliographic Metadata: Example from the Food, Nutrition and Agriculture. In: Proceedings of the International Conference on the Semantic Web and Digital Libraries, Rome, Italy, pp. 64–76 (2007)

    Google Scholar 

  4. Sini, M., Lauser, B., Salokhe, G., et al.: The AGROVOC concept server: rationale, goals and usage. Library Review 57(3), 200–212 (2008)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Sun, J., Li, S., Zhang, L., Liu, C., Zhao, H., Yang, J. (2013). Ontology Construction in Tea Pest Domain. In: Qi, G., Tang, J., Du, J., Pan, J.Z., Yu, Y. (eds) Linked Data and Knowledge Graph. CSWS 2013. Communications in Computer and Information Science, vol 406. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54025-7_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-54025-7_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-54024-0

  • Online ISBN: 978-3-642-54025-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics