Einsatz eines XML Publishing Frameworks zur Realisierung eines ubiquitären Kalendermanagers

Martin Benda

Research output: ThesisMaster's / Diploma thesis

Abstract

As a result of a growing demand for E-Commerce and M-Commerce, web applications which allow ubiquitous access are becoming present. With such ubiquitous applications, the services are personalized for the users and can be applied, no matter where or when, and completely medium-independent. With customization, it is possible to adapt the already existing services on the basis of the context to each situation of use. The development of ubiquitous web applications which support a customization phase, requires a clear separation of the three levels of web applications, namely Content, Hyperbase, and Presentation. Traditional technologies, like e.g. ASP, JSP, or PHP, do not support such separation and are thus only partially qualified for the development of such applications. XML Publishing Frameworks should help to improve the situation by applying different XML-technologies like XSP and XSLT which will enable the clear separation of the three levels. The goal of this diploma thesis is the realization of a ubiquitous calendar manager on the basis of the XML Publishing Framework Cocoon. The architecture and functionality of Cocoon will be explained in detail by giving concrete examples from the calendar manager implementation. Compared to other XML Publishing Frameworks, Cocoon stands out with its modular structure, which enables locality of changes concerning the processing logic by mean of so-called Sitemaps. In this thesis, a special attention will be given to the support of the different forms of customization, which concern the content-level as well as the presentation-level. In order to do so, the W3C-Standard CC/PP for representation of profile information, as well as Cocoon Logic Sheets for realization of the adaption operations for customization will be used.
Original languageGerman (Austria)
Publication statusPublished - Jan 2002

Fields of science

  • 101004 Biomathematics
  • 101027 Dynamical systems
  • 101028 Mathematical modelling
  • 101029 Mathematical statistics
  • 101014 Numerical mathematics
  • 101015 Operations research
  • 101016 Optimisation
  • 101017 Game theory
  • 101018 Statistics
  • 101019 Stochastics
  • 101024 Probability theory
  • 101026 Time series analysis
  • 102 Computer Sciences
  • 102001 Artificial intelligence
  • 102003 Image processing
  • 102004 Bioinformatics
  • 102013 Human-computer interaction
  • 102018 Artificial neural networks
  • 102019 Machine learning
  • 103029 Statistical physics
  • 106005 Bioinformatics
  • 106007 Biostatistics
  • 202017 Embedded systems
  • 202035 Robotics
  • 202036 Sensor systems
  • 202037 Signal processing
  • 305901 Computer-aided diagnosis and therapy
  • 305905 Medical informatics
  • 305907 Medical statistics
  • 102032 Computational intelligence
  • 102033 Data mining
  • 101031 Approximation theory

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