A TV knowledge management system based on media and social-driven ontology which allows...

... Tracking the TV Content on the Web


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, MeSoOnTV defines 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.

MeSoOnTV 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.

... Analyzing the Extended Life of TV Content


The MeSoOnTV knowledge graph is designed to support flexibility. Edges and nodes are not simply labelled depending on their type (video, social profile, and so on), but they are described in detail by a common set of features.

Analyzing directly the social graph, however, might be an hard task, due to its complexity. MeSoOnTV provides knowledge query and analysis tools consisting in a set of components for querying, browsing and analyzing the knowledge graph.

Query modules extract subgraphs from the knowledge graph based on user’s requirements and constraints. Each extracted subgraph can be seen as a view over the complete knowledge graph, only containing nodes and edges potentially relevant to the user query.

Analysis modules provide a set of analysis and data mining tools to obtain models and patterns from the knowledge graph.

Contact us!

MeSoOnTV is the result of a joint work with RAI Research Center: if you want to know more about the project, please contact us at [unito] or [rai].


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