Wandora

Wandora is a general purpose information extraction, management and publishing application based on Topic Maps and Java. Wandora has graphical user interface, layered and merging information model, multiple visualization models, huge collection of information extraction, import and export options, embedded HTTP server with several output modules and open plug-in architecture. Wandora is a FOSS application with GNU GPL license.

Wandora is well suited for constructing ontologies and information mashups. Wandora is capable of extracting and converting a wide range of open data feeds to topic map formats (see image below). Beyond topic map conversion, this feature allows Wandora user to aggregate multidimensional information mashups where information from Flickr interleaves with information from GeoNames and YouTube, for example.

This website, WandoraWiki, is a home of Wandora software application. To contribute Topic Maps community, Wandora Team has converted several well known ontologies to Topic Maps format. These ontologies: WordNet, OpenCyc, Gene Ontology, Gellish, and Finnish General Upper Ontology (YSO) are available at Topic map gallery.

To contact developers of the Wandora application, please use Wandora Forum or contact us as described in FAQ.

See also past news. If you are interested in Topic Maps and information technology related news see Planet Topic Maps and Planet RDF.

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

• Features
• Documentation
• Open bugs
• General FAQ
• FAQ for Wandora user
• Wandora Forum
• Wandora Tv
• Upcoming features

• TMRA 2010 tutorial slides: Converting information to Topic Maps using Wandora.
• TMRA 2009 workshop presentation Semantic Mashups with Wandora. Example data set is available for brave experimenters.
• Wandora poster in PDF or GIF formats.
• Kivelä A.: OBO-ontologioiden kuvaaminen Topic Map-muotoon. MSc Theses, 2008. (in Finnish). (English Abstract: Converting OBO ontologies to Topic Maps).
• Lyytinen O.: Semanttisen webin tekniikoiden soveltaminen Wikisovelluksissa. MSc Theses, 2008. (in Finnish)
• 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.

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