Persistent Topic Maps for Knowledge and Web Content Management

Josef Küng, Thomas Luckeneder, Knud Steiner, Roland Wagner, Wolfram Wöß

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

Today there is a wide range of research disciplines that deal with the creation, administration, maintenance and evalutation of knowledge. In this paper our focus of attention are two established approaches to Knowledge Management Systems - namely superimposed information as well as domain ontologies. Aside from these approaches we also focus on the problems arising with Web Content Management Systems. Since the underlying abstract model of Topic Maps provides a high degree of power and flexibility, Topic Maps can be used to combine these approaches. Moreover, Topic Maps offer a framework supporting the evolutionary construction of computer-based organizational memories. The presented system architectures have been developed in cooperation with one of the largest Internet sites in Austria as well as with an international admitted lawyer's office.
Original languageEnglish
Title of host publicationProceedings of the Second International Conference on Web Information Systems Engineering (WISE 2001
PublisherIEEE
Number of pages8
Publication statusPublished - Dec 2001

Fields of science

  • 102001 Artificial intelligence
  • 102006 Computer supported cooperative work (CSCW)
  • 102010 Database systems
  • 102014 Information design
  • 102015 Information systems
  • 102016 IT security
  • 102028 Knowledge engineering
  • 102019 Machine learning
  • 102022 Software development
  • 102025 Distributed systems
  • 502007 E-commerce
  • 505002 Data protection
  • 506002 E-government
  • 509018 Knowledge management
  • 202007 Computer integrated manufacturing (CIM)
  • 102033 Data mining
  • 102035 Data science

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