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SQL/MDR: Query Language for Consistent Access of Metadata Registries Based on SQL3

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Advances in Web-Age Information Management (WAIM 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3129))

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Abstract

This paper proposes a query language to consistently access metadata registries. In current, many metadata registries have been built in various fields. Because there is no access method to access the metadata registries in a standard manner, many management systems for them have been developed in various and different access methods. In this paper, we propose a metadata registry query language that allows us to access consistently all metadata registries in a standardized manner. The query language, SQL/MDR is an extension of SQL3, which is familiar to existing database managers. Consequently, the query language reduces the development cost of a metadata registry management system. And it also enables all metadata registries to be accessed in a consistent manner.

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References

  1. ISO/IEC JTC 1/SC 32, ISO/IEC 11179: Specification and standardization of data elements Part 16̃. ISO/IEC JTC 1 (2003)

    Google Scholar 

  2. Korea Institute of Science and Technology Information, A study on the development of standardization and management model for science and technology information. Research Report (2002)

    Google Scholar 

  3. Electronics and Telecommunication Research Institute, Research on the Registration and Search System of Component, Research Report (2000)

    Google Scholar 

  4. Environmental Protection Agency, Environmental Data Registry (2004), http://www.epa.gov/edr/

  5. Australian Institute of Health and Welfare, Australian National Health Information Knowledgebase (2003), http://www.aihw.gov.au/

  6. U.S. Transportation System, http://www.dot.gov/ , U.S. Department of Transprotation (2003)

  7. Egenhofer, M.: Spatial SQL: A query and presentation language. IEEE Transactions on Knowledge and Data Engineering (1994)

    Google Scholar 

  8. Pissinou, N., Snodgrass, R., et al.: Towards an infrastructure for temporal databases: Report of an invitational arpa/nsf workshop. In: SIGMOD Record (1994)

    Google Scholar 

  9. ISO/IEC JTC 1/SC 32, ISO/IEC 13249: Information technology - Database languages - SQL Multimedia and Application Packages, ISO/IEC JTC 1 (2003)

    Google Scholar 

  10. Environmental Protection Agency, Data Standards Publications and Guidances (2003)

    Google Scholar 

  11. Australian National Health Data Committee, National Health Data Dictionary (2003)

    Google Scholar 

  12. ITS Architecture Development Team, ITS Logical Architecture- Volume I, Volume II: Process Specifications. Volume III: Data Dictionary (2003)

    Google Scholar 

  13. ISO/IEC JTC 1/SC 32, ISO/IEC 9075: Database Language SQL3 Part 11̃0. ISO/IEC JTC 1 (1999)

    Google Scholar 

  14. Lee, J.-Y.: Integrating Spatial and Temporal Relationship Operators into SQL3 for Historical Data Management. Journal of Electronics and Telecommunication Research Institute 24(3), 226–238 (2002)

    Google Scholar 

  15. Jeong, D., Park, S.-Y., Baik, D.-K.: A Practical Approach: Localization-based Global Metadata Registry for Progressive Data Integration. Journal of Information & Knowledge Management 2(4), 391–402 (2003)

    Article  Google Scholar 

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© 2004 Springer-Verlag Berlin Heidelberg

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Jeong, D., Kim, YG., Baik, DK. (2004). SQL/MDR: Query Language for Consistent Access of Metadata Registries Based on SQL3. In: Li, Q., Wang, G., Feng, L. (eds) Advances in Web-Age Information Management. WAIM 2004. Lecture Notes in Computer Science, vol 3129. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27772-9_25

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  • DOI: https://doi.org/10.1007/978-3-540-27772-9_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22418-1

  • Online ISBN: 978-3-540-27772-9

  • eBook Packages: Springer Book Archive

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