Wandora

Wandora is a general purpose knowledge extraction, management, and publishing environment based on Topic Maps. More precisely Wandora is a Java desktop 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 prototyping and knowledge mashups. Wandora is owned and copyrighted by Grip Studios Interactive Oy. You are free to use Wandora in personal and non-commercial projects.

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: Wandora is going open source! Wandora's license is changing to GNU GPL. We are refactoring the code base at the moment and plan to release next version within few weeks.

February 18, 2008: Wandora's javadocs updated finally!

February 13, 2008: Wandora application updated! Update introduces programmable Custom topic panel for advanced topic map queries. Update also fixes some bugs found in OBO import.

January 22, 2008: New version of Wandora is available now! New version contains many new features including OBO import and OBO export. See change log for a complete list of changes.

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.