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 plugin architecture. Wandora is owned and copyrighted by Grip Studios Interactive Oy. Grip Studios Interactive Oy grants you 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 knowledge and experiences about the Wandora using wiki's discussion pages and the forum. Should you require extensive editing rights please contact WandoraWiki authors.

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

News

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.

Finnish National Gallery's Collections were today (May 24th 2007) released in Internet. This extensive information repository of Finnish and international art was implemented with Wandora. The site introduces over 33000 artworks, 6000 artists, and 14000 digital images of artworks. More detailed presentation about the Wandora implementation and the project is available at Topic Maps 2007 Conference site.

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.