Integration of Topic Maps and Databases: Towards Efficient Knowledge Representation and Directory Services

Thomas Luckeneder, Knud Steiner, Wolfram Wöß

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

Abstract

In the field of artificial intelligence there is a well established knowledge representation technique called a semantic network. A semantic network is created using a structure consisting of nodes and links. Beside semantic networks, especially for knowledge representation and knowledge interchange over the World Wide Web the international Topic Map ISO standard was developed. It defines a syntax that allows the creation of a strongly typed, linked model of an area of knowledge. Although Topic Maps are being embraced by a wide number of organizations and companies there is still a lack of software that supports the Topic Map standard. In this paper a meta data structure is introduced, which allows to make a Topic Map persistent within a relational database. To make integrity checks within Topic Maps possible, several constraint mechanisms are introduced. Additionally, for building world wide Internet directory services a multi-language component is included. The presented concept is realized in the form of a three layer architecture including also an Admin-/Editorshell. This development is the result of a cooperation with one of the largest Internet sites in Austria, covering content and commerce.
Original languageEnglish
Title of host publicationDatabase and Expert Systems Applications: 12th International Conference, DEXA 2001 Munich, Germany, September 3-5, 2001 Proceedings
Editors Mayr et al.
PublisherSpringer Verlag
Pages744-753
Number of pages10
ISBN (Print)3-540-42527-6
DOIs
Publication statusPublished - Sept 2001

Publication series

NameLecture Notes in Computer Science (LNCS)
ISSN (Print)0302-9743

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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