home > library > publications > using topic maps for sustainability reporting

close subject identifiers for Using Topic Maps for Sustainability Reporting
  • /publications/using_topic_maps_for_sustainability_reporting
Sustain_blue

Using Topic Maps for Sustainability Reporting

Paper, was published by Hans-Knud Arndt, Henner Graubitz, and René Klesinski at 2007-07-30

This paper proposes a solution of how to publish and visualize Internet-based sustainability reports.

External Link: download paper

In this paper we propose a solution of how to publish and visualize Inter-net-based sustainability reports. After the Global Reporting Initiative (GRI) published the final version of the third generation of GRIguidelines more and more organizations start to publish sustainability reports on their Internet sites. But these reports are split by environmental topics. Readers are confronted by an in-formation flood without understanding the relationships between all topics in an organization. With the usage of the eXtensible Business Reporting Language (XBRL) we propose a solution of how to transform sustainability reports into Topic Maps (XTM).

Authors

Hans-Knud Arndt

No contact information available. 

Signet_person

Hans-Knud is author of Sustainability Reporting.. , Topic Maps for Representing.. , Using Topic Maps for.. , and Unterstützung der.. .

René Klesinski

No contact information available. 

Signet_person

René is author of Sustainability Reporting.. and Using Topic Maps for.. .

glossary

XTM

is associated with {{count}} items.

Signet_glossary

XTM is the abbreviation for Topic Maps XML Syntax. There are currently two versions: XTM1 and XTM2.

 

I like the easy but powerful way of merging Topic Maps to extend and combine existing knowledge bases. Thus I see high potential in distributed environments where peer to peer solutions may open the gates to the real Web 3.0.

Marcel_hoyer_-_130x130
Marcel Hoyer
SharpTM
practical-semantics.com
Topic Maps Lab auf der Cebit 2011
Partners

Graduate from the Topic Maps Lab