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International Conference on Data Mining and Big Data

DMBD 2022: Data Mining and Big Data pp 330–342Cite as

Ontology-Based Metadata Model Design of Data Governance System

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1745))

Abstract

Data as an important asset, its governance problem gradually highlighted. Metadata as an important data technology means of data governance, its model is of great significance for sharing, exchanging, understanding, discovering, and interoperating data. This paper based on the ontology method, integrates various metadata models and proposes a metadata model system for the data governance lifecycle to promoting the construction of cross-domain data sharing space.

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References

  1. Fu, X., Zheng, L.: Value measurement of Open Government Data: comparative study of features and methods. Libr. Inf. Serv. 64(19), 140–152 (2020)

    Google Scholar 

  2. Sunlight Foundation.: The social impact of open data. http://assets.sunlightfoundation.com.s3.amazonaws.com/policy/SocialImpactofOpenData.pdf

  3. Open data barometer.: Open data barometer-global report 4th edition. http://opendatabarometer.org/

  4. McKinsey.: Open data: unlocking innovation and performance with liquid information. http://www.mckinsey.com/~/media/McKinsey/Business%20Functions/McKinsey%20Digital/Our%20Insights/Open%20data%20Unlocking%20innovation%20and%performance%20with%liquid%information/MGI_Open_data_FullReport_oct2013.ashx

    Google Scholar 

  5. Carrara, W., Chan, W.S., Fischer, S., et al.: Creating value through open data: study on the impact of re-use of public data resources. http://www.europeandataportal.eu/sites/default/files/edp_creating_value_through_open_data_0.pdf

  6. Zhang, H., Wang, Z.: A comparative study of foreign Open Government Data. Intell. Mag. 34(8), 142–146 (2015)

    Google Scholar 

  7. DoD Data Strategy. http://ipoipo.cn/post/10665.html, 2020/10/08

  8. Department of Defense Net-Centric Data Strategy. http://www.researchgate.net/publication/235178063_Department_of_Defense_Net-Centric_Data_Strategy, 2003/05/09

  9. Data Catalog Vocabulary (DCAT)-revised edition. https://www.w3.org/TR/vocab-dcat-2/

  10. Huawei data management department.: Enterprise data at HUAWEI. 1st edn. China Machine Press, Beijing (2020)

    Google Scholar 

  11. ISO/IEC 19583-1:2019 Information technology – Concepts and usage of metadata Part 1: Metadata concepts. http://www.doc88/p-6827308980719.html

  12. ISO/IEC 11179-3:2013 Information technology--Metadata registries (MDR)—Part 3: Registry metamodel and basic attributes. http://metadata-standards.org/11179/ (Part 3)

  13. ANSI/NISO Z39.87-2006 (R2017) Data Dictionary-Technical Metadata for Digital Still Images. https://www.niso.org/publications/ansiniso-z3987-2006-r2017-data-dictionary-technical-metadata-digital-still-miages

  14. ISO 19115-1/Amd 1:2018: Geographic information – Metadata – Part1: Fundamentals – Amendment 1. http://www.iso.org/standard/73118.html

  15. Dublin Core. http://dublincore.org/documents/dces/

  16. W3C Provenance Working Group.: Provenance Working Group Wiki Main Page. http://www.w3.org/2011/prov/wiki/Main_page

  17. MIP JC3IEDM Metamodel. https://military-history.fandom.com/wiki/JC3IEDM

  18. National Information Exchange Model. http://niem.github.io/reference/content/

  19. Dai, J., et al.: Methods and Technologies of Cross Domain Information Exchange, 2nd edn. Publishing house of electronics industry, Beijing (2021)

    Google Scholar 

  20. ISO/IEC 11179-7:2019 Information technology — Metadata registries (MDR) — Part 7: Metamodel for data set registration. https://www.iso.org/standard/68766.html

  21. Dublin core TM metadata element set. https://www.dublincore.org/specifications/dublin-core/dces/

  22. Maali, F., Cyganiak, R., Peristeras, V.: Enabling interoperability of government data catalogues. In: 9th International Conference on Electronic Government, pp. 339–350. Lausanne, Switzerland (2010)

    Google Scholar 

  23. Wu, L., Huang, Y.: The development of study of metadata standards of open government data platform. Res. Libr. Sci. 6, 14–21 (2017)

    Google Scholar 

  24. Xie, Z., Jun, Z., Li, H.: Construction progress of W3C metadata standard DCAT for open data and enlightenment. J. Intell. 38 (11) 167–174 (2019)

    Google Scholar 

  25. Moreau, L., Clifford, B., Freire, J., et al.: The Open provenance model core specification (v1.1). Futur. Gener. Comput. Syst. 27(6), 743–756 (2011)

    Google Scholar 

  26. Provenir Ontology. http://wiki.knoesis.org/index.php/Provenir_Ontology

  27. Data on the web best practices: Data quality vocabulary. https://www.w3.org/TR/vocab-dqv/

  28. Federal Enterprise Architecure – The Data Reference Model Ver 2.0. https://www.doc88.com/p-696925718857.html

  29. DAMA International.: The DAMA Guide to the Data Management Body of Knowledge. 2nd edn. Technics Publications (2017)

    Google Scholar 

  30. Ma, W.: Research on construction method of domain ontology. https://blog.csdn.net/u013263092/article/details/46327689

  31. Wang, H., Kan, Y., Wu, W., et al.: Knowledge representation, representation learning and knowledge reasoning for multi⁃modal situational awareness. Command. Inf. Syst. Technol. 13(3), 1–11 (2022)

    Google Scholar 

  32. Lan Chaozhen, L., Wanjie, L.L.: Construction and application of space object situation domain ontology Command. Inf. Syst. Technol. 12(1), 34–54 (2021)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Nanjing Research Institute of Electronics Engineering, Nanjing, 210023, China

    Hong Yan, Jing Wang & Yu Zhou

Authors
  1. Hong Yan
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  2. Jing Wang
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  3. Yu Zhou
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Corresponding author

Correspondence to Hong Yan .

Editor information

Editors and Affiliations

  1. Peking University, Beijing, China

    Ying Tan

  2. Southern University of Science and Technology, Shenzhen, China

    Yuhui Shi

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Yan, H., Wang, J., Zhou, Y. (2022). Ontology-Based Metadata Model Design of Data Governance System. In: Tan, Y., Shi, Y. (eds) Data Mining and Big Data. DMBD 2022. Communications in Computer and Information Science, vol 1745. Springer, Singapore. https://doi.org/10.1007/978-981-19-8991-9_23

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  • DOI: https://doi.org/10.1007/978-981-19-8991-9_23

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-8990-2

  • Online ISBN: 978-981-19-8991-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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