Wandora

Wandora is a general purpose knowledge extraction, management, and publishing environment based on Topic Maps. More precisely Wandora is an open source Java application to build and manage topic maps. 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 suits well for rapid ontology construction and knowledge mashups. Wandora's license is GNU GPL.

This site, WandoraWiki, is a home of Wandora software application and an ongoing project. Site provides you an access point to the Wandora application and it's documentation. Should you require personal Wandora support please use Wandora Forum or contact us directly at support wandora.org.

Keywords: topic maps, semantic web, editor, software, Java, XTM, LTM, RDF(S), OBO flat file format, metadata, data mining, data extraction, web scraping

News

Upcoming next: We are planning next update to take place April 30th. Update includes RIS file format extractor, VerbOcean extractor, and refactored layer stack implementation for example!

March 14, 2008: Minor update for Wandora application introducing Topic Map patcher and enhanced compare feature.

March 4, 2008: New version of Wandora is available. Wandora's license has changed to GNU GPL. Source code distribution package is available at download page! The class path base of Wandora has changed to org.wandora. New version also introduces Compare topic maps feature!

See also past news...

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

• Features
• General FAQ
• Documentation
• FAQ for Wandora user
• Wandora Forum

• WordNet
• Gene Ontology

• Kivelä A.: Topic Maps, Wandora ja kourallinen julkaisuprojekteja (in Finnish). Presentation held in XML Finland meeting November 14th, 2007.
• 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.