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Rules for Effective Mapping Between Two Data Environments: Object Database Language and XML

  • Tamer N. Jarada
  • Abdullah M. Elsheikh
  • Taher Naser
  • Kelvin Chung
  • Armen Shimoon
  • Panagiotis Karampelas
  • Jon Rokne
  • Mick Ridley
  • Reda Alhajj
Chapter
  • 436 Downloads

Abstract

The rapid development in automated communication and the diversity of computing platforms necessitated and motivated for the development of platform independent data format that could smoothly provide for portability and extensibility. Intensive research efforts over the past two decades have produced XML as the de facto standard for platform independent sharing of data which is the most valuable commodity for maintaining successful and competitive performance. Data is the most valuable source of knowledge. Once data is acquired, it can be queried to retrieve explicit content and it can be mined to extract and predict implicit content. XML has been embraced as a data model mainly due to its simplicity, readability, and portability, i.e., its ability to be transported over well established protocols, such as HTTP. XML is extremely similar to HTML in structure, making it an ideal data format to be used in conjunction with HTTP. Furthermore, HTML parsers can be easily adapted for dealing with XML data. However, XML serves a purpose different from that of HTML. While the latter is intended for data formatting, the former specifies and describes structure and context for the data by allowing the user to decide on his/her own tags, structure, nesting, etc. Finally, XML documents can be highly structured, based on an accompanying XML Schema.

Keywords

Class Hierarchy List Type Primitive Type Root Element Child Element 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Vienna 2012

Authors and Affiliations

  • Tamer N. Jarada
    • 1
  • Abdullah M. Elsheikh
    • 1
  • Taher Naser
    • 2
  • Kelvin Chung
    • 1
  • Armen Shimoon
    • 1
  • Panagiotis Karampelas
    • 3
  • Jon Rokne
    • 1
  • Mick Ridley
    • 2
  • Reda Alhajj
    • 1
    • 4
    • 3
  1. 1.Computer Science DepartmentUniversity of CalgaryCalgaryCanada
  2. 2.Department of Computing, School of Computing Informatics and MediaUniversity of BradfordBradfordUK
  3. 3.Department of Information TechnologyHellenic American UniversityManchesterUSA
  4. 4.Department of Computer ScienceGlobal UniversityBeirutLebanon

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