Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Comparing images using color coherence vectors
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Automatic image annotation and retrieval using cross-media relevance models
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Multimedia Content and the Semantic Web: Standards, Methods and Tools
Multimedia Content and the Semantic Web: Standards, Methods and Tools
eLearn
HT06, tagging paper, taxonomy, Flickr, academic article, to read
Proceedings of the seventeenth conference on Hypertext and hypermedia
Computers in Human Behavior
Augmenting navigation for collaborative tagging with emergent semantics
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
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The actual changes produced in the e-Learning field are being driven by two primary facts: the first one is the steady increase of information creation and the second is the new collaborative framework of the Web 2.0. While LO (Learning Objects) repositories are mare and more extensive, the automatic tools for search and location of proper learning content in these repositories, based on semantic tags are not yet effective. This article proposes a system architecture that combines automatic techniques of information retrieval with the user's collaborative annotation of the documents, for the semantic indexing of LO in a repository. Collaborative tagging provides real meaning derived from the learning experiences in real user's communities and improves LO reusability in new learning contexts.