Wandora

Wandora is a general purpose knowledge extraction, management, and publishing environment based on Topic Maps. More precisely Wandora is a Java application used to build and manage topic maps. Wandora suits well for knowledge mashups for example. Wandora has graphical user interface, layered presentation of knowledge, several data storage options, rich data extraction, import and export capabilities, and open plug-in architecture. Wandora has also a server companion enabling dynamic publication of topic maps. Wandora is owned and copyrighted by Grip Studios Interactive Oy and you are granted a personal and non-commercial license to use Wandora.

This site, WandoraWiki, is a home of Wandora software application and an ongoing project. Due to extensive abuse user creation is disabled. Should you require editing rights for the wiki or Wandora support please contact Wandora authors at support wandora.org.

Keywords: topic maps, semantic web, editor, software, Java, XTM, LTM, RDF(S), metadata, data mining

News

August 30 2007: Wandora application updated! Now Wandora has also graph visualizations of topic maps.

Get familiar with Wandora and join us at TMRA'07. Olli Lyytinen, one of the key authors of Wandora gives a tutorial at TMRA'07 with topic An introduction to Wandora. Tutorial is a gentle introduction to Wandora's topic map editing and publishing features.

July 31 2007: WordNet topic map updated! Wandora application updated!

July 11 2007: Topic map conversion of WordNet is available here at WandoraWiki.

See also past news...

• Change log
• Open bugs
• Download (build date 2016-05-10)
• License

• Features
• FAQ of Wandora
• System requirements
• How to install Wandora
• How to use Wandora application (this is the main entry to Wandora documentation)
• Available tools
• Wandora server
• Wandora Javadocs

• WordNet

• Lyytinen O.: Building Internet Services with Layered Topic Maps. Presentation held in The Finnish Artificial Intelligence Conference (STeP 2006), 2006-10-26.
• Kivelä A., Lyytinen O.: Topic Map Aided Publishing – A Case Study of Assembly Media Archive. Web Intelligence. STeP 2004 - The 11th Finnish Artificial Intelligence Conference Proceedings - Vol. 2, 2004.