Wandora

Wandora is a general purpose knowledge extraction, management, and publishing environment based on Topic Maps. More precisely Wandora is a Java application 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 plug-in architecture. Wandora has also a server companion enabling dynamic publication of topic maps. Wandora is owned and copyrighted by Grip Studios Interactive Oy and you are granted a personal and non-commercial license to use Wandora. This site, WandoraWiki, is a home of Wandora software application and an ongoing project. Should you require Wandora support please use Wandora Forum or contact Wandora authors directly at support wandora.org. Keywords: topic maps, semantic web, editor, software, Java, XTM, LTM, RDF(S), metadata, data mining, data extraction, web scraping News November 8, 2007: Aki Kivelä, one of Wandora authors, gives a presentation Topic Maps, Wandora, and a fistful of publishing projects at XML Finland's Topic Map meeting, November 14th. Read more here (in Finnish). November 5, 2007: Yet Another Wandora Update! New version has RSS extractor, enhanced drag and drop features, preview for HTML subject locator, etc. See change log for complete list of changes. October 17, 2007: Update! New Wandora version has been tested on Linux. Now you may run the application also on Linux and Unix systems with enclosed startup scripts. September 18, 2007: Wandora Forum is now open for the community! See also past news...

Download Wandora Change log Open bugs Download (build date 2016-05-10) License Wandora Documentation Features FAQ of Wandora Using Wandora FAQ Documentation Wandora Forum Wandora Javadocs Topic maps WordNet Other Documents 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.