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Adding semantics to SGML databases

  • Part III: EP'98
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Book cover Electronic Publishing, Artistic Imaging, and Digital Typography (RIDT 1998)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1375))

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Abstract

Huge collections of linked documents can now be efficiently stored. However, full online access and electronic publishing through reuse of document parts require sophistication and precision in queries. Such a query facility is only possible through the inclusion of appropriate semantic information. Manually adding such information to multigigabyte document sources is daunting for technical writers. Our approach aims at making this task feasible by exploiting a conceptual schema of the enterprise. The result is an integrated schema — one that covers the traditional information system of the enterprise as well as the information that exists solely in the world of documents.

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References

  1. B. Amann and M. Scholl. GRAM: A Graph Data Model and Query Language. In Proceedings of the Fourth European Conference on Hypertext and Hypermedia ECHT'92., pages 201–211, 1992.

    Google Scholar 

  2. C. Batini, S. Ceri, and S. Navathe. Conceptual Database Design. Benjamin/Cummings, 1992.

    Google Scholar 

  3. G. Blake, M. Consens, P. Kilpeläeinen, P.-å. Larson, T. Snider, and F. Tompa. Text/Relational Database Management Systems: Harmonizing SQL and SGML. In W. Litwin and T. Risch, editors, Applications of Databases, Proceedings of the First International Conference ADB-94, pages 267–280. Springer-Verlag, 1994.

    Google Scholar 

  4. J. Callan, B. Croft, and S. Harding. The INQUERY Retrieval System. In Proceedings of the Third International Conference on Database and Expert Systems Application, pages 78–83, 1992.

    Google Scholar 

  5. V. Christophides, S. Abiteboul, S. Cluet, and M. Scholl. From Structured Documents to Novel Query Facilities. In Proceedings of the ACM-SIGMOD International Conference on Management of Data, Minneapolis, Minnesota, pages 313–324, 1994.

    Google Scholar 

  6. W. B. Croft and D. W. Stemple. Supporting Office Document Architectures with Constrained Types. In Proceedings of the ACM-SIGMOD International Conference on Management of Data, San Francisco, California, pages 504–509, 1987.

    Google Scholar 

  7. S. Dobson and V. Burrill. Lightweight Databases. In Proceedings of the Third International World Wide Web Conference, 1995.

    Google Scholar 

  8. C. Goldfarb. The SGML Handbook. Clarendon Press, Oxford, 1990.

    Google Scholar 

  9. R. H. Guting, R. Zicari, and D. Choy. An Algebra for Structured Office Documents. ACM Transactions on Office Information Systems, 7(4):123–157, April 1989.

    Article  Google Scholar 

  10. M. Gyssens, J. Paredaens, and D. Van Gucht. A Grammar-based Approach towards Unifying Hierarchical Data Models. In Proceedings of the ACM-SIGMOD International Conference on Management of Data, Portland, Oregon, pages 263–272, 1989.

    Google Scholar 

  11. ISO8879:1986. Information Processing — Text and Office System — Standard Generalized Markup Language (SGML), 1986.

    Google Scholar 

  12. W. Kim, H. Chou, and J. Banerjee. Operations and Implementation of Complex Objects. In Proceedings of the IEEE Third International Conference on Data Engineering, 1987.

    Google Scholar 

  13. A. Müller and U. Thiel. Query Expansion in an Abductive Information Retrieval System. In Proceedings of the RIAO'94. New York., pages 461–480, 1994.

    Google Scholar 

  14. J. Price. Introduction: Special Issue on Structuring Complex Information for Electronic Publication. IEEE Transactions on Professional Communication, 40(2):1–9, June 1997.

    Article  MathSciNet  Google Scholar 

  15. C. Tattersall and A. Cole. Modelling the Content of Technical Documentation. In Proceedings of Electronic Publishing EP-92, pages 223–232, 1992.

    Google Scholar 

  16. E. van Herwijnen. Practical SGML. Kluwer Academic, 1994.

    Google Scholar 

  17. C. van Rijsbergen. Towards an Information Logic. In Proceedings of the Twelfth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1989.

    Google Scholar 

  18. M. Yoshikawa, O. Ichikawa, and S. Uemura. Amalgamating SGML Documents and Databases. In Proceedings of the 5th International Conference on Extending Database Technology, pages 259–274, 1996.

    Google Scholar 

  19. M. Zloof. Query By Example: a Data Base Language. IBM Systems Journal, 16(4):324–343, 1977.

    Article  Google Scholar 

  20. J. Zobel, A. Moffat, and R. Sacks-Davis. An Efficient Indexing Technique for Full Text Databases. In Proceedings of the Eighteenth International Conference on Very Large Databases, pages 352–362, 1992.

    Google Scholar 

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Roger D. Hersch Jacques André Heather Brown

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© 1998 Springer-Verlag Berlin Heidelberg

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Mazumdar, S., Yuan, G., Bao, W., Price, J. (1998). Adding semantics to SGML databases. In: Hersch, R.D., André, J., Brown, H. (eds) Electronic Publishing, Artistic Imaging, and Digital Typography. RIDT 1998. Lecture Notes in Computer Science, vol 1375. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0053300

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  • DOI: https://doi.org/10.1007/BFb0053300

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64298-5

  • Online ISBN: 978-3-540-69718-3

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