Skip to main content

Abstract

There are a wide variety of data resources description methods, which are applied for different application backgrounds. Military data resources classified generally in accordance with branches or organization structure to describe. This paper focus on describing the relationship between the data and tracking the provenance of data, and proposes a method for describing data sources faced to data provenance, which is verified by simple example. Not only explores how to resolve the current military data problems about collection, verification, using and sharing difficulties, but also researches how to resolve the problems about data credibility, data quality and version information when sharing data by the method of data provenance, which can help the users to verify the quality of data, audit data origin, locate the error position, optimize the integration process and so on.

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 EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 329.99
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

References

  1. Wu Dingming, Man Lung Yiu, Gao Cong, and Christian S.Jensen. in Joint Top-K Spatial Keyword Query Processing[J],IEEE International Conference on Data Engineering,2011,pp.55-56

    Google Scholar 

  2. Rocha Junio. “Top-K Spatial Keyword Queries on Road Networks”, in EDBT 2012 Berlin,Germany, 2012,pp.34-35

    Google Scholar 

  3. The Library of Congress. Australian National Bibliographic Database Metadata Project in MODS Implementation Registry[EB/OL].2012

    Google Scholar 

  4. Ariba. Microsoft Technical White Paper.UDDI.org, 2000,(9).pp.45-49

    Google Scholar 

  5. Amit S, Cartic R. “Semantic Technology in Action: Ontology Driven Information Systems for Search, Integration and Analysis” [J].IEEE Data Engineering Bulletin, 2003, 12, pp.67-69.

    Google Scholar 

  6. Curbera F, Duftler M, Khalaf R, et al. “Unraveling the Web Services Web: An Introduction to SOAP, WSDL, and UDDI”.IEEE Internet Computing, 2002,(03/04),pp.86-93

    Google Scholar 

  7. Xiaohui Wang, “Query and Reasoning of Ontology and its application in military field”, Chongqing University, Chongqing, 2012, pp.23-35. (Chinese)

    Google Scholar 

  8. Wu Yongbo, Sha jichang, Tan Dongfeng, “An Analysis of Military Organization Ontology”, Computer Engineering Scirence[J], 2007,29(2),pp.132-135. (Chinese)

    Google Scholar 

  9. Dai chaofan, Wang Tao, Zhang Pengcheng,”Survey of Data Provenance Technology” [J], Application Research of Computers, 2010,27(9),pp.3216-3218. (Chinese)

    Google Scholar 

  10. Ming Hua, Zhang Yong, Fu Xiaohui, “Survey of Data Provenance” [J], Journal of Chinese Computer Systems, 2012,33(9),pp.1918-1919. (Chinese)

    Google Scholar 

  11. Zhao Yanpeng, Dai Chaofan, “Research and Application of Data Provenance Based on PROV”[J], Advances in Engineering Research, 2015, pp.1551-1557. (Chinese)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yan-peng Zhao .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Atlantis Press and the author(s)

About this paper

Cite this paper

Zhao, Yp., Dai, Cf., Zhang, Xy. (2016). Research of Data Resource Description Method Oriented Provenance. In: Qi, E., Shen, J., Dou, R. (eds) Proceedings of the 22nd International Conference on Industrial Engineering and Engineering Management 2015. Atlantis Press, Paris. https://doi.org/10.2991/978-94-6239-177-2_22

Download citation

  • DOI: https://doi.org/10.2991/978-94-6239-177-2_22

  • Published:

  • Publisher Name: Atlantis Press, Paris

  • Print ISBN: 978-94-6239-176-5

  • Online ISBN: 978-94-6239-177-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics