[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to main content
Springer Nature Link
Log in

Research on Knowledge Association and Reasoning of Product Design

  • Conference paper
  • First Online:
Computational Intelligence and Intelligent Systems (ISICA 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 575))

  • 1691 Accesses

Abstract

The knowledge granularity is described, and the knowledge granularity model is constructed. With the help of granularity principle, design knowledge was classification, association and inference. The hierarchical structure of the domain knowledge was described by using the knowledge granularity, and the related knowledge was structured and formal. Through the analysis of a case, the method is proven to be effective to improve the relevance of knowledge and improve the efficiency of the knowledge service.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
£29.99 /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
GBP 19.95
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
GBP 35.99
Price includes VAT (United Kingdom)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
GBP 44.99
Price includes VAT (United Kingdom)
  • 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

Similar content being viewed by others

References

  1. Wang, Y., Wang, F., Le, C., et al.: Ontology-based knowledge modeling of collaborative product design for multi-design teams. China Mech. Eng. 23(22), 2720–2725 (2012)

    Google Scholar 

  2. Hao, J., Yan, Y., Wang, G.-X., Liu, J.-j.: User-oriented non-geometry design knowledge organization method. Comput. Integr. Manuf. Sys. 20(6), 1300–1307 (2014)

    Google Scholar 

  3. Estrada, L.M.M.: Topic maps from a knowledge organization perspective. Knowl. Organ. 38(1), 43–61 (2011)

    Google Scholar 

  4. Mai, T.E.: Actors, domains, and constraints in the design and construction of controlled vocabularies. Knowl. Organ. 35(1), 16–30 (2008)

    MathSciNet  Google Scholar 

  5. Vegetti, M., Leone, H., Henning, G.: An ontology for comprehensive and consistent representation of product information. Eng. Appl. Artif. Intell. 24, 1305–1327 (2011)

    Article  Google Scholar 

  6. Witold, P., Wei, L., Xiaodong, L., et al.: Human-centric analysis and interpretation of time series: a perspective of granular computing. Soft Compute. 18, 2397–2411 (2014)

    Article  Google Scholar 

  7. Huang, F., Zhang, S., et al.: Clustering web documents using hierarchical representation with multi-granularity. World Wide Web. 17, 105–126 (2014)

    Article  Google Scholar 

  8. Cao, J., Chen, J., et al.: Scene image semantic annotation method based on fuzzy theory research. J. Chongqing Normal Univ. Nat. Sci. 31(2), 67–71 (2014)

    Google Scholar 

Download references

Acknowledgements

This work is supported by National Natural Science Foundation of China under Grant No. 41402290, No. 61462028 and No. 81460275; Major Project for Natural Science Foundation of Jiangxi Province of China under Grant No. 20152ACB21011; Key Technology Research and Development Program of Jiangxi Province of China under Grant No. 20151BBE50068; External Science and Technology Cooperation Project of Jiangxi Province of China under Grant No. 20151BDH80010.

Author information

Authors and Affiliations

  1. College of Information Engineering, East China Jiaotong University, Nanchang, 330013, JiangXi, People’s Republic of China

    Nan Jiang & Pingan Pan

  2. Institute of Industrial Engineering, Nanchang Hangkong University, Nanchang, 330063, JiangXi, People’s Republic of China

    Youyuan Wang & Lu Zhao

Authors
  1. Nan Jiang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Pingan Pan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Youyuan Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Lu Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Nan Jiang .

Editor information

Editors and Affiliations

  1. College of Mathematics and Informatics, The South China Agricultural University, Guangzhou, China

    Kangshun Li

  2. School of Computer Science, Guangzhou University, Guangzhou, China

    Jin Li

  3. School of Computer Science and Engineeri, The University of Aizu, Aizu-Wakamatsu, Fukushima, Japan

    Yong Liu

  4. Dept. of Informatics, University of Salerno, Fisciano, Italy

    Aniello Castiglione

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer Science+Business Media Singapore

About this paper

Cite this paper

Jiang, N., Pan, P., Wang, Y., Zhao, L. (2016). Research on Knowledge Association and Reasoning of Product Design. In: Li, K., Li, J., Liu, Y., Castiglione, A. (eds) Computational Intelligence and Intelligent Systems. ISICA 2015. Communications in Computer and Information Science, vol 575. Springer, Singapore. https://doi.org/10.1007/978-981-10-0356-1_72

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-0356-1_72

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0355-4

  • Online ISBN: 978-981-10-0356-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation