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. Feel free to contribute your experiences of the Wandora using wiki's discussion pages and the forum. Should you require extensive editing rights or 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

Topic map conversion of Wordnet is available here at WandoraWiki. Read more here.

Tiny teaser: We are currently working on Graph Topic Panel extending Wandora's topic map visualization and editing features beyond the traditional table based topic panels. Graph Topic Panel is expected to be ready by the end of August 2007.

Wandora software was updated June 4th 2007. New version contains topic map analyzing tools and simple, yet powerful topic map generators. Application's look has also been polished.

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

• 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.