A generic framework for the modeling of contexts and its applications
Data & Knowledge Engineering
Information-theoretic co-clustering
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Construction of Ontology-Based User Model for Web Personalization
UM '07 Proceedings of the 11th international conference on User Modeling
A distributed, service-based framework for knowledge applications with multimedia
ACM Transactions on Information Systems (TOIS)
Frameworks for entity matching: A comparison
Data & Knowledge Engineering
The adaptive web
SITAC: discovering semantically identical temporally altering concepts in text archives
Proceedings of the 14th International Conference on Extending Database Technology
Opinion Mining with Sentiment Graph
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Improving cross-document knowledge discovery using explicit semantic analysis
DaWaK'12 Proceedings of the 14th international conference on Data Warehousing and Knowledge Discovery
Tracking and analyzing TV content on the web through social and ontological knowledge
Proceedings of the 11th european conference on Interactive TV and video
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Searching, browsing and analyzing web contents is today a challenging problem when compared to early Internet ages. This is due to the fact that web content is multimedial, social and dynamic. Moreover, concepts referred by videos, news, comments, posts, are implicitly linked by the fact that people on the Web talks about something, somewhere at some time and these connections may change as the perception of users on the Web changes over time. We define a model for the integration of the heterogeneous and dynamic data coming from different knowledge sources (broadcasters' archives, online newspapers, blogs, web encyclopedias, social media platforms, social networks, etc.). We use a knowledge graph to model all the heterogenous aspects of the information in an homogeneous way. Through a case study on social TV, we provide a non trivial cross-domain analysis scenario on real data gathered from YouTube and Twitter, and related to an Italian TV talk show on politics, broadcasted by RAI, the Italian public-service broadcasting organization.