Abstract
Today's web-based information systems usually employ database systems to store their content, forming the basis for web page construction. Generating web pages on request, especially in peak times, however, can lead to severe performance problems. Thus, our approach of "self maintaining" web pages suggests to materialize web pages outside the database and to update them every time the underlying content changes. Maintaining the mapping knowledge between database content and web pages in an efficient way, however, represents a major challenge. Our approach of self-maintaining web pages tackles this problem by means of different concepts. First, instead of allocating individual content fragments to single web pages, parameterized content fragments are allocated to web page classes. Second, the Extensible Markup Language (XML) is used as an intermediate layer between the database content and the final web pages, thus allowing to propagate updates only to those elements which are actually affected. Third, a meta schema allows to reify the mapping knowledge, thus enhancing maintainability and changeability. This paper focuses on the meta schema, representing a core component of our approach.
Original language | English |
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Title of host publication | 5th World Multi-Conference on Systemics, Cybernetics and Informatics (SCI) |
Number of pages | 6 |
Publication status | Published - Apr 2001 |
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