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Presentation at Summer School on Multimedia Semantics, Amsterdam, 3rd September 2010.http://ssms10.project.cwi.nl
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R&D BBC MMX
NoTube - Experimenting with Linked Data to improve user experience
Vicky Buser, Information ArchitectSeptember 3rd, 2010 – SSMS’10
R&D BBC MMX
NoTube is an example of using Linked Data for user- facing apps as these two short videos explain…
1. Strategy & Direction2. Highlights 11231965for each area
http://vimeo.com/11232681http://vimeo.com/11231965
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A bit about my background…
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I’m an Information Architect
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The BBC and the semantic web
Some background
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It started with the BBC Programmes site…
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…following Linked Data principles, it ensures ONE page per programme
http://www.bbc.co.uk/programmes/b00tllj9http://www.bbc.co.uk/programmes/b00tllj9
http://www.bbc.co.uk/programmes/b00tjfyshttp://www.bbc.co.uk/programmes/b00tjfys
http://www.bbc.co.uk/programmes/b00tjflhhttp://www.bbc.co.uk/programmes/b00tjflh
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And it uses the BBC Programmes Ontology
Drawing borrowed from Michael Smethurst at the BBC
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Similarly, each artist in BBC Music has an RDF representation
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BBC Wildlife Finder provides a URI for every species, habitat and adaption
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The BBC’s World Cup site uses RDF and Linked Data to build and manage the site of 700 aggregation pages
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The NoTube Project
Networks and Ontologies for the Transformation and Unification of Broadcasting and the Internet
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NoTube is part of the wider trend of TV and Web convergence
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The BBC is leading one of the Use Cases in NoTube
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The BBC’s Use Case: TV and the Social Web
demonstrates APIs for linking the Social Web with broadcast and on-demand television, using linked data from broadcasters, audiences and across the web, to help make social content navigation applications and active TV communities.
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Focus of the rest of this talk
How we can use linked data to improve the user experience
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Some observations relating to TV watching…
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1) Deciding what to watch on TV is hard
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2) People would often like to know more about a programme they’re watching (e.g. BBC Red Button)
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3) Watching TV is still predominantly a social activity
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From a recent (Aug 2010) YouGov/Deloitte report
• 42% of those UK adults who use the Internet while watching television do so to discuss or comment on the programmes they are watching at the time.
• http://today.yougov.co.uk/consumer/television-going-social
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So, how can we use Linked Data to help people to…
• Decide what to watch• Discover more information related to a
programme• Have smarter conversations and social
engagement around TV programmes
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In our part of NoTube we are using three core techniques to help with this…
• Dereferencable URLs• Semantic enrichment• Social APIs
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1) Using dereferencable URLs to identify programmes
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2) Enriching programme metadata with Linked Data from the Web
• Using Ontotext's LUPedia and NoTube’s vocabulary alignment service to:– Add background knowledge and context– Make new connections– Support serendipity
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3) Linking the dereferencable URLs with Social APIs
• The idea is to connect people, their friends, their activities, and their televisions in a suitably privacy-preserving way in order to make TV in the future a more enjoyable and interesting experience.
• E.g. by creating linkage points into social network discussions, as well as shared bookmarking and commenting systems
• Using Semantics to enhance the data• Using community features for smart sharing and
discussions
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Our experiments…
What we’ve been doing
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Deciding what to watch – recommendations/filters
POTENTIAL UX BENEFITS OF USING LINKED DATA• Recommendations are pushed in unobtrusive
manner• Interesting explanations provide context• Can surface programmes of interest buried in
the long-tail
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Interesting explanations…
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Surfacing programmes of interest buried in the long-tail
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Recommendations – Year 1: matching up graphs
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What we learnt…
• DBPedia-based recommendations not specific enough - “Eastenders recommended because you like programmes made in the 80s”
• Recommendations based on BBC’s Lonclass might produce more interesting and useful results because Lonclass is:– more TV-centric– more granular– used by human indexersBUT it’s BBC-centric
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Recommendations – recent Lonclass work
• DEMO: Two-screen prototype for web-based on-demand video
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Recommendations – some challenges
• Generating interesting links is difficult• We can't do Lonclass-based
recommendations for recent content
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Recommendations - what’s next?
• Reverse engineering user recommendations data to discover more about what makes interesting links
• Looking at auto-classification of recently broadcast programmes with Lonclass
• Mixing and matching Lonclass and other recommendations work with social influencers
• Testing
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Recommendations – reverse engineering interesting links
Users A, B and F like programmes 1 and 5 which are both about Amsterdam, therefore location might be interesting to users…
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Or the pathways through the graph could be further apart…
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Recommendations – mixing with social influencers
• Such as:– Twitter TV trends amongst my friends– What my friends are watching– What's most popular on Twitter right now
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Cross-domain recommendations
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Bearing in mind privacy implications
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Finding out more about a programme
POTENTIAL UX BENEFITS OF USING LINKED DATA
• User is pushed relevant background information
• User doesn't have to search for anything• Supports content discovery/broadens
knowledge• User is in control: now or later
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Finding out more – in our year 1 demo
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Finding out more – what we might do next
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Creating the infrastructure to support online social activity around video content
POTENTIAL UX BENEFITS OF USING LINKED DATA
• Unique URLs support UGC• This enables all sorts of things to happen –
“like electricity”
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Creating the infrastructure: Libby’s Resolver
• Goes from broadcast TV to a webpage describing what's on
• http://blog.notu.be/2010/08/26/connecting-broadcast-tv-and-the-web-using-a-resolver/
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Creating the infrastructure – what’s next
• Starting by linking up disparate sources of programme data internally within the BBC
• Good business value for the BBC and good for end users
• Deep/rich links into a part of the content, to provide a unique identifier for a particular in-programme event
• Developing APIs for social TV apps
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Summary and conclusions
Within the context of the NoTube project , Linked Data techniques can improve user experiences by…
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Supporting content discovery and serendipity
• Follow your nose• Find new video content• See related information• Find people with similar interests
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Reducing the burden of choice
• Automatically filtering of programmes of interest
• Delivering a more personalised experience
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Allowing for smarter conversations around video content
• *This* is what I'm talking about • I like/don't like/recommend/disagree with
*this*• *Here's* the evidence - using video rather
than text to explain things
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Call to action
For maximum impact, consider how your work relates to real-world scenarios and how it can be used to improve the user experience
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We start the process by making storyboards
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Now, over to you…
• NoTube postcards and stickers to give you inspiration!
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Further reading
• http://www.bbc.co.uk/ontologies/programmes/2009-09-07.shtml
• http://www.bbc.co.uk/blogs/bbcinternet/2010/07/bbc_world_cup_2010_dynamic_sem.html
• http://blog.dbtune.org/post/2009/10/27/Music-recommendation-and-Linked-Data
• http://blog.notu.be/
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Photo credits
• http://www.flickr.com/photos/mcfarlandmo/3275419562/in/set-72157613720528518/
• http://www.flickr.com/photos/d-reichardt/4348924495• http://www.flickr.com/photos/adambowie/2924076825/• http://www.flickr.com/photos/disaster_area/3959753968
/• http://www.flickr.com/photos/nnova/2341090921/
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Thank you
• Questions/comments