The TAO of Topic Maps

finding the way in the age of infoglut

Steve Pepper Infostream

Abstract

Topic maps are a new ISO standard for describing knowledge structures and associating them with information resources. As such they constitute an enabling technology for knowledge management. Dubbed “the GPS of the information universe”, topic maps are also destined to provide powerful new ways of navigating large and interconnected corpora.
While it is possible to represent immensely complex structures using topic maps, the basic concepts of the model – Topics, Associations, and Occurrences (TAO) – are easily grasped. This paper provides a non-technical introduction to these and other concepts (the IFS and BUTS of topic maps), relating them to things that are familiar to all of us from the realms of publishing and information management, and attempting to convey some idea of the uses to which topic maps will be put in the future.1

Keywords

glossaries, indexes, indexing, knowledge management, knowledge representation, navigation, retrieval, semantic networks, thesauri, topic maps

Contents

Introduction
Knowledge structures and information management
What is an index, really?
Glossaries and thesauri
Semantic networks
The TAO of topic maps
T is for Topic
Topics
Topic types
Topic names
O is for Occurrence
Occurrences
Occurrence roles
A is for Association
Associations
Association types
Association roles
The IFS of topic maps
Identity (and public subjects)
Facets
Scope
The BUTS of topic maps
Conclusion
Acknowledgements
Bibliography

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