Wandora application

Wandora is a general purpose information extraction, management and publishing application based on Topic Maps and Java. Topic maps are hypergraphs with an emphasis on subjects. Wandora stores information in layered and auto-merging topic maps. Wandora has graphical user interface, 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 suits well for constructing and maintaining vocabularies, ontologies and information mashups. Application areas include data integration, business intelligence, digital preservation, data journalism and a wide variety of open data and linked data projects. Wandora's design philosophy is developer oriented. Wandora application is developed actively by a small number of experienced software developers. We call ourselves as the Wandora Team.


Wandora release 2014-04-15


It is over six months since last Wandora release. Now we are finally ready to publish new version with some very interesting new features. Release 2014-04-15 features TMQL support and embedded HTML browser, for example. TMQL is the topic map query language and Wandora allows the user to search, query and modify topics and associations with TMQL scripts. Embedded HTML browser expands Wandora's internal visualizations repertoire. Wandora's embedded HTTP server services are now available inside the Wandora application. See change log and documentation for more details.

The Art Collections of Finnish National Gallery based Wandora and Topic Maps


We are very proud to announce that The Art Collections of Finnish National Gallery website has been rebuilt using Wandora and Topic Maps. The website is based on Wandora's new server framework. The content of the site comes from a Wandora project file including four separate and merging topic maps. Used topic maps are master data dump of artwork and artists information, Iconclass vocabulary, audioguides and manually crafted base ontology with merge-topics. Frontend is generated using Velocity templates and is a responsive HTML5 site.

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