EUROITV '08 Proceedings of the 6th European conference on Changing Television Environments
A human-machine collaborative approach to tracking human movement in multi-camera video
Proceedings of the ACM International Conference on Image and Video Retrieval
Tensor Decompositions and Applications
SIAM Review
Frameworks for entity matching: A comparison
Data & Knowledge Engineering
Networks: An Introduction
WINACS: construction and analysis of web-based computer science information networks
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Co-viewing live TV with digital backchannel streams
Proceddings of the 9th international interactive conference on Interactive television
Inferring Networks of Diffusion and Influence
ACM Transactions on Knowledge Discovery from Data (TKDD)
Personalized newscasts and social networks: a prototype built over a flexible integration model
Proceedings of the 21st international conference companion on World Wide Web
Computer Science Review
Who is on your sofa?: TV audience communities and second screening social networks
Proceedings of the 10th European conference on Interactive tv and video
FANFEEDS: evaluation of socially generated information feed on second screen as a TV show companion
Proceedings of the 10th European conference on Interactive tv and video
Circle-based recommendation in online social networks
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
MeSoOnTV: a media and social-driven ontology-based TV knowledge management system
Proceedings of the 24th ACM Conference on Hypertext and Social Media
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People on the Web talk about television. TV users' social activities implicitly connect the concepts referred to by videos, news, comments, and posts. The strength of such connections may change as the perception of users on the Web changes over time. With the goal of leveraging users' social activities to better understand how TV programs are perceived by the TV public and how the users' interests evolve in time, we introduce a knowledge graph to model the integration of the heterogeneous and dynamic data coming from different information sources, including broadcasters' archives, online newspapers, blogs, web encyclopedias, social media platforms, and social networks, which play a role in what we call the "extended life" of TV content. We show how our graph model captures multiple aspects of the television domain, from the semantic characterization of the TV content, to the temporal evolution of its social characterization and of its social perception. Through a real use-case analysis, based on the instance of our knowledge graph extracted from (the analysis of) a set of episodes of an Italian TV talk show, we discuss the involvement of the public of the considered program.