Self-maintaining Web Pages

Project: OtherPhD thesis project

Project Details

Description

Data-intensive web-based information systems usually employ database systems to store the contents forming the basis for web page construction. Generating web pages on the fly, especially in peak times, can lead to severe performance problems. Thus, pre-generation of web pages has been suggested to be ready for prime time, allowing to reliably deliver several hundred pre-generated pages per second. Maintaining the consistency of these web pages with respect to changes within the database in an efficient way, however, represents a major challenge. This project introduces a novel approach for "self maintaining" web pages that is, different to previous approaches, characterized by a simple (and thus, easy to maintain) database-to-web page mapping and very low page re-generation costs. This is achieved by utilizing fragmentation techniques from distributed databases, by allocating parameterized fragments to web page classes (rather than individual fragments to single web pages), and using the Extensible Markup Language (XML) as an intermediate layer between the database and the final web pages.
StatusFinished
Effective start/end date01.01.200001.01.2003

Fields of science

  • 102027 Web engineering
  • 102030 Semantic technologies
  • 502050 Business informatics
  • 102010 Database systems
  • 102035 Data science
  • 502058 Digital transformation
  • 503008 E-learning
  • 509026 Digitalisation research
  • 102033 Data mining
  • 102 Computer Sciences
  • 102028 Knowledge engineering
  • 102016 IT security
  • 102015 Information systems
  • 102025 Distributed systems

JKU Focus areas

  • Digital Transformation