Wandora
Wandora is a general purpose knowledge extraction, management, and publishing environment based on Topic Maps. More precisely Wandora is an open source Java 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 includes also embedded HTTP server enabling dynamic publication of topic maps. Wandora suits well for rapid ontology construction and knowledge mashups. Wandora's license is GNU GPL. This site, WandoraWiki, is a home of Wandora software application and 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 Keywords: topic maps, semantic web, editor, software, Java, XTM, LTM, RDF(S), OBO flat file format, microformats, metadata, data mining, data extraction, web scraping NewsJune 29, 2008: Have a Nice Summer! Wandora team is on summer vacation during July. We expect to get next Wandora update published late August and release update feature details in the beginning of August. May 30, 2008: New application version available. We are happy to announce new Wandora version has been published today. New features include embedded HTTP server, YouTube, Del.icio.us, and Digg extractors. Last.fm and Flickr extractors have also been enhanced! Wandora also introduces two new topic map layer types: Query and Linked topic maps. See Change log for a complete list of changes. April 29, 2008: Wandora team is happy to announce new version of Wandora application has been published today! New version introduces several different Flickr extractors, rewritten layer stack implementation, RIS, and VerbOcean extractors, and Graph Modeling Language export for example! See Change log for a complete list of changes. Wandora team would also like to welcome new Wandora developer, Antti Tuppurainen. Antti's first works were the RIS and Flickr extractors. See also past news... |
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