SNARC - An Approach for Aggregating and Recommending Contextualized Social Content

Ahmad Assaf (1) , Aline Senart (1) , Raphaël Troncy (2)

1 SAP Research
2 Eurecom [Sophia Antipolis]

The Internet has created a paradigm shift in how we consume and disseminate information. Data nowadays is spread over heterogeneous silos of archived and live data. People willingly share data on social media by posting news, views, presentations, pictures and videos. SNARC is a service that uses semantic web technology and combines services available on the web to aggregate social news. SNARC brings live and archived information to the user that is directly related to his active page. The key advantage is an instantaneous access to complementary information without the need to dig for it. Information appears when it is relevant enabling the user to focus on what is really important.

Domaines: Recherche d'information [cs.IR]

Ahmad Assaf, Aline Senart, Raphaël Troncy. SNARC - An Approach for Aggregating and Recommending Contextualized Social Content. ESWC 13, May 2013, France. pp.319-326. ⟨hal-00873637⟩