Abstract

Topic Maps can be compared to indexes at the back of a book: in an index a subject term (topic) refers to a certain page (occurrence) and relations between terms are defined (associations). Different standards, tools and examples regarding Topic Maps can be found on the web. The champions of Topic Maps may present it as an alternative for traditional indexing and as a remedy to the chaos they believe to be inherent to automatic indexing. They also regard it as the next logical step in the evolution of the web, but the question can be asked whether Topic Maps are going to be more successful than or integrated into the Semantic Web instruments.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.