Transdisciplinary Approaches in Documentation
For more than 100 years the methodological backround of documentation in scientific and scholarly disciplines hasnt substantially changed. The conceptual goals of structuring information within modern databases are still quite similar to those concepts used in traditional card index boxes. They provide, if at all, a limited support for a well structured documentation of information in form and content. The traditional analogous practice of documentation is mainly based on more or less atomized entities which are often simple field names such as painter, collector or author.
With modern approaches the documentation becomes more focused on processes and events. Thus the above mentioned entities what, who, where and when or respectively object/concept, person, place, time and activity have to be related to each other. In scientific and scholarly disciplines that should be an efficient way to document information in their full scientific depth rather than simply administering it. In addition a documentation of processes and events seems to be a prerequisite for transdisciplinary information integration which is needed for developing knowledge networks and knowledge representation tools on the internet.
The CIDOC WG Transdisciplinary Approaches in Documentation is a forum for discussing the nature of digital documentation as a methodological subject of research. Researchers from scientific and scholarly domains are invited to collaborate on issues such as:
- What are the specific concepts used in research languages?
- How to make these specific concepts or domain-specific thoughts universally understandable?
- Are there any differences between the methodological structure of archaeological- and biological typologies?
- How to map scientific and scholarly knowledge in a domain-neutral way?
Siegfried Krause, Chair
s.krause@gnm.de
Germanisches Nationalmuseum, Department of Cultural Informatics, Nuremberg, Germany
Günther Görz, Co-Chair
goerz@informatik.uni-erlangen.de
Friedrich-Alexander-University of Erlangen-Nuremberg, Department of Computer Science 8 Artificial Intelligence, Germany
Georg Hohmann, Co-Chair
g.hohmann@gnm.de
Germanisches Nationalmuseum, Department of Cultural Informatics, Nuremberg, Germany