Heckling at Ontologies

Heckling at Ontologies explored the relationship between TV-viewers’ text chat and TV broadcaster media metadata.

Heckling at Ontologies Research Poster
Heckling at Ontologies Research Poster

Heckling at Ontologies is a collaboration with fellow MAT student Toby Harris exploring the dissonance between top-down and bottom-up approaches to media metadata generation. The project started with two datasets:

1. A semantic description of Season 4, Episode 1 of Doctor Who

This was one of the outcomes of Toby’s industrial placement at the BBC, which developed an ontology for rich description of BBC programme content and then used it to create a highly detailed summary of a specific episode of Doctor Who.

2. User-generated tweets ‘heckled’ at the screen by viewers

As part of an industrial placement at BT, I worked with The People Speak to develop a new version of Heckle, a web service that gathers tweets, images, videos and texts ‘heckled’ to a shared screen by viewers of a TV show, building up a visual summary of the mediated conversation. These two data sets were analysed to discover the dissonances and regularities between Toby’s top-down and my bottom-up descriptions of the same TV show.

The two data sets were then superimposed on a live stream of the video. You can download the source of the demo and grab copies of semantic data on the ontoheckle github page.

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