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XML and relational database management systems: the inside story

Published: 14 June 2005 Publication History

Abstract

As XML has evolved from a document markup language to a widely-used format for exchange of structured and semistructured data, managing large amounts of XML data has become increasingly important. A number of companies, including both established database vendors and startups, have recently announced new XML database systems or new XML functionality integrated into existing database systems. This tutorial will provide an insight into how XML functionality fits into relational database management systems as seen by three major relational vendors: IBM, Microsoft and Oracle.

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  • (2018)One query to retrieve XML and Relational DataProcedia Computer Science10.1016/j.procs.2018.07.201134(340-345)Online publication date: 2018
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  1. XML and relational database management systems: the inside story

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      cover image ACM Conferences
      SIGMOD '05: Proceedings of the 2005 ACM SIGMOD international conference on Management of data
      June 2005
      990 pages
      ISBN:1595930604
      DOI:10.1145/1066157
      • Conference Chair:
      • Fatma Ozcan
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 14 June 2005

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      Cited By

      View all
      • (2018)One query to retrieve XML and Relational DataProcedia Computer Science10.1016/j.procs.2018.07.201134(340-345)Online publication date: 2018
      • (2017)Integrating XML and Relational DataProcedia Computer Science10.1016/j.procs.2017.06.107110(422-427)Online publication date: 2017
      • (2016)Analysis and optimization based on reusable knowledge base of process performance modelsThe International Journal of Advanced Manufacturing Technology10.1007/s00170-016-8761-788:1-4(337-357)Online publication date: 23-Apr-2016
      • (2015)Data integration in manufacturing industry: Model-based integration of data distributed from ERP to PLC2015 IEEE 13th International Conference on Industrial Informatics (INDIN)10.1109/INDIN.2015.7281747(275-281)Online publication date: Jul-2015
      • (2015)Analysis and optimization in smart manufacturing based on a reusable knowledge base for process performance modelsProceedings of the 2015 IEEE International Conference on Big Data (Big Data)10.1109/BigData.2015.7363902(1418-1427)Online publication date: 29-Oct-2015
      • (2015)A visual XML dataspace approach for satisfying ad hoc information needsJournal of the Association for Information Science and Technology10.1002/asi.2332666:11(2304-2320)Online publication date: 1-Nov-2015
      • (2014)Mapping XML to a Wide Sparse TableIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2012.22126:6(1400-1414)Online publication date: 1-Jun-2014
      • (2014)Toward smart manufacturing using decision analytics2014 IEEE International Conference on Big Data (Big Data)10.1109/BigData.2014.7004330(967-977)Online publication date: Oct-2014
      • (2014)The Concept of Transformation of XML Documents into Quasi-Relational ModelBeyond Databases, Architectures, and Structures10.1007/978-3-319-06932-6_55(569-580)Online publication date: 2014
      • (2012)An approach for developing a schemaless XML dataspace profiling systemJournal of Information Science10.1177/016555151243753238:3(234-257)Online publication date: 18-Apr-2012
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