Storyline - for #newsHACK 2013 - Jeremy Tarling
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Presentation by @jeremytarling for #newsHACK 2013.
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Storyline - for #newsHACK 2013 - Jeremy Tarling
- 1. The Storyline Ontology Jeremy Tarling Senior Data Architect, BBC News @jeremytarling
- 2. The Storyline Ontology • the problem space • collaborative model development • using it with news content • prepared data for #newsHACK
- 3. •story telling is fragmented into articles •links between articles are handcurated by journalists •aggregations around topics (indexes) are hand-curated
- 7. 1. annotate assets with topics Preferred Label CPS asset CPS asset preferred Label about Slug slug mentions CPS asset etc topic short Label disambiguation Hint Short Label Disambiguation Hint
- 8. 2. annotate assets with storylines CPS asset CPS asset Title about about title Storyline synopsis CPS asset about Synopsis
- 9. 3. annotate assets with storylines and storylines with topics Title CPS asset CPS asset Synopsis title about about synopsis Storyline topic CPS asset Person about topic topic topic Organisation Theme Place
- 10. 4. model complex storylines
- 12. #newsHack • APIs are ready • storylines and events have been made • (tell us if you want more) • content from multiple sources
Notas del editor
- 8 minutes on the storyline ontology explain the problem space – how and did we come up with the storyline model look at applying the ontology to news content, starting simple then moving to more complex storylines finally point you at the data we have prepared, and explain how we can make more for you if needed
- BBC News publishes ~500 articles + other content types every day manually maintained topic aggregations (indexes) manually maintained links between articles labour intensive
- repetitive (much of an article will be repetition - 'clone' in CPS the story becomes fragmented - many articles and other content types to one storyline instead why not aggregate content as developments of updates in a storyline
- collaboration - a broadcaster, a newspaper, a wire service, a search engine ran workshops, shared ideas, tested on real data produced a model, published it under a CC-SA license most of these guys are here today!
- here’s v0.1 the model in it’s entirety best understood through it’s application to content take you through four ways the model can be used
- 1 – basic annotation of content with people, places, orgs, etc allows dynamic aggregation by topic BBC already doing this for sport – recent articles about Man Utd others – Guardian?
- 2 - as before, but here we have abstracted the Storyline as a concept ‘content about Edward Snowden’s assylum bid’ some News orgs already doing this, eg itv.com/news
- 3 – taking this firther we can annotate a Storyline with People, Places, Orgs and Themes allows for more accurate statements about content – not about Chine, but about an event that took place in China makes for useful onward journeys if we expose these 2-step annotations as links
- 4 - a Storyline can have Slots Slots contain Events Slots can be related to each other (e.g. ‘follows’) to build narrative sequences of Events, or Storylines this is the space we really want to explore over the NewsHack event
- over the past few weeks we have been seeding the BBC News Prototyping platform (Juicer) with these complex (level 4) storylines we’ve also annotated (‘tagged’) articles with events in these storylines list of the storylines we have created here: if there’s a story you love to build an app for that’s not here then tweet us with the #newsHack hash tag and myself or one of the other data monkeys will make it for you