Linked Data tagging with LODr
نویسنده
چکیده
LODr is a personal application providing semantic-enrichment features for existing tagged content from various popular Web 2.0 services, such as Flickr, del.icio.us or Twitter. By allowing people to re-tag their content with URIs, rather than simple keywords, it weaves their social data to the Semantic Web. In this paper, we detail the principes of this application, the underlying models, its distributed and collaborative architecture, as well as how it provides new and unforeseen functionnalities to Web users. We also compare our approach to existing augmented tagging applications and see how, in our opinion, LODr offers an efficient and coherent path between Web 2.0 and the Semantic Web.
منابع مشابه
LODr – A Linking Open Data Tagging System
This demo paper introduces LODr, a service providing semanticenrichment features for existing tagged content from various Web 2.0 services, based on the MOAT and Linked Data principles.
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تاریخ انتشار 2008