Contextual Search Enriched with Open Data for Supporting Collaborative Learning in Social Networks

Abstract

With the development of information and communication technologies, in special the Web and collaborative systems, there is a broad access to query engines and social networks. This work considers the relevance in documents retrieval on the Web can be important to encourage collaborative learning dynamics based on discussion. To improve and contextualize the documents retrieval on the Web, this paper proposes: (i) the context modeling from the extraction of messages in social networking groups and (ii) use of the context to improve the relevance in the documents retrieval on the Web. A case study showed the enriched context capture using the discussion messages can improve the relevance of search results on the Web and contribute to the discussions.