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 fast ontology creation and knowledge mashups for example. 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), 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. See also past news...

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