Skip to main content

Building Concept System from the Perspective of Development of the Concept

  • Conference paper
Advances in Computing and Information Technology

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 177))

  • 3044 Accesses

Abstract

The concept system with rich content is the key to improve the performance of knowledge-based artificial intelligence knowledge system. And a sufficient number of concepts, rich in semantic association, to meet the multi-tasking and developed concept system are one of the major challenges of knowledge engineering. It is the fundamental goal of conceptualization of knowledge, too. In this paper, for the study of natural language processing, from the perspective of development of the concept, a framework is proposed to building concept system.

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 259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
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. Wei, H.: Formal concept system of artificial intelligence. Science Press, Beijing (2011)

    Google Scholar 

  2. Li, Q.: FrameNet–a thesaurus engineering based on frame semantics. Science and Technology BBS 16, 39 (2005)

    Google Scholar 

  3. Jia, J.-Z., Dong, G.: The compare among Frame, WordNet, VerbNet. Library and Information Technology 11, 1682–1686 (2007)

    Google Scholar 

  4. Liu, Q., Li, S.-J.: The calculation of lexical semantic similarity based on HowNet. Computer Linguistics and Chinese Information Processing 7, 59–76 (2002)

    Google Scholar 

  5. Dong, Z.-D., Dong, Q.: HowNet (EB/OL) (September 23, 1999/March 06, 2004), http://www.keenage.com

  6. He, W., Wei, H.: Study summarization of Concept structure. Computer Application and Software 27(1), 157–159 (2010)

    Google Scholar 

  7. Jin, Y.-H.: HNC Language Understanding Technology and Its Applications. Science Press, Beijing (2006)

    Google Scholar 

  8. Wang, D.X., Hu, X.G., et al.: Association rules mining on concept lattice using domain knowledge. In: The Fourth International Conference on Machine Learning and Cybernetics, pp. 2151–2154 (2005)

    Google Scholar 

  9. Wooldridge: (Shi, C.-Y., et al. (trans.)) The guidance based on many Agent systems. Publishing house of electronics industry, Beijing (2003)

    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

Xian-yi, C., Xue-hua, S., Quan, S. (2013). Building Concept System from the Perspective of Development of the Concept. In: Meghanathan, N., Nagamalai, D., Chaki, N. (eds) Advances in Computing and Information Technology. Advances in Intelligent Systems and Computing, vol 177. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31552-7_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-31552-7_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31551-0

  • Online ISBN: 978-3-642-31552-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics