Project overview and results1                  New trends in television: social and semantic© NoTube project consortium. F...
TV on the Web: growing trend2        New trends in television: social and semantic
TV on the Web: channel explosion3          New trends in television: social and semantic
Source: Nielson Three Screen Report, March 20104      New trends in television: social and semantic
From „ Mobile Shopping Framework: The role of mobile devices in theshopping process” by Yahoo! and the Nielson company, Ja...
Including the Web in your TVYahoo! launches ConnectedTV platform for Web-  based widgets on TV (e.g. Flickr, YouTube,  fac...
Augmenting TV with the Web                                                        Blinkx BBTV makes                       ...
Some Web-TV solutions todayStand alone boxes such as• TiVo – original DVR, added on-demand video,  YouTube, music and phot...
Some Web-TV solutions todayFirst TVs withintegrated Weband individualapp platformsin 2011.Future TVs willbe „connected“as ...
State of the art in TV• TV content shifting to the Web as delivery  platform     – An explosion in available content at an...
Limitations of today‘s TV• Too much content in one place     – How to find what you want to watch? Sort       between live...
Social TV• Integrate the TV experience with the so-called  Social Web     – Who are my friends and what do they watch?    ...
Semantic TV• Add formal semantic descriptions for     – TV programmes     – TV schedules (EPGs)• Link those descriptions t...
NoTube project• Integrating TV & Web with help of semantics     – Open and interlink TV content in a Web fashion       wit...
NoTube partners15   New trends in television: social and semantic
Bridging Web and TV cultures16        New trends in television: social and semantic
Rest of this slideset• Technological background (Semantic Web,  Linked Data)• Semantic annotations for TV data (semantic  ...
(1) Semantic Web, Linked Data  “If computers can understand the   meaning behind the information               they can  l...
The Semantic Web The vision of what was termed the “Semantic Web“ first came to public attention through an article in Sci...
HTMLHTML was too limited for Web documents – it is purely a presentationformat. The tags in HTML have no meaning outside h...
XML      <name>James Bond</name>      <company>                                                    James Bond MI5      <sh...
RDFRDF provides a graph structure for making statements about things.Individual things, and not just files, are given an U...
RDFSRDF Schema begins to formalise the meaning of things spoken about inRDF on the basis of computational logic. RDFS perm...
OWLOWL broadens the possible expressivity of the ontology. This makesricher models of knowledge about things possible, but...
SPARQLThe final block of the Semantic Web that we will cover in this introduction isSPARQL, the query language for semanti...
Semantic Web principles• Every concept can be identified with URIs• Resources and relationships are typed semantically• Pa...
Linked Data principles• Use URIs as names of things• Use HTTP URIs so that people can look up those names• When someone lo...
Semantic Web vs Linked Data“In contrast to the full-fledged Semantic Web vision, linkeddata is mainly about publishing str...
Linked Data cloud29   New trends in television: social and semantic
Linked Data for music & TV30      New trends in television: social and semantic
DBPedia: Wikipedia as Linked Data31      New trends in television: social and semantic
DBPedia Mobile                                                                     Pictures from revyu.com           Try y...
Resources and representations                         non-information resource               http://dbpedia.org/resource/B...
Linking things, not documentshttp://dbpedia.org/resource/ABBA                               sameAs                        ...
Browsing things, not documentshttp://dbpedia.org/resource/ABBA                                                            ...
Asking for things, not documentsWhich music artists have composed the theme music for a BBC comedy program? 36         New...
(2) Semantic annotation for TV• What can we annotate in TV?     – The program schedule     – The TV program     – TV progr...
Why have metadata?Archives from where  content has to be  found and retrieved  have been the place  where the need for  ac...
Broadcast metadata• Data about data   – All digital resources (A/V, scripts, contracts, reports, pictures, etc.) are     d...
Need for common standards                   Broadcaster        Broadcaster       Broadcaster      TV Content   NoTube     ...
EPGs             Screenshot http://www.ifanzy.nl41   New trends in television: social and semantic
EPG data• An EPG is composed of two parts: content descriptions and  broadcast description• Content descriptions contain s...
TVAnytime (1/2)• Unique document structure     – Program description     – Program location     – Program segmentation    ...
TVAnytime (2/2)• Advantages of TV-Anytime   – It is network and middleware independent   – Supports related material, segm...
TVAnytime schema45   New trends in television: social and semantic
Other models in use• egtaMETA - a unique metadata exchange schema dedicated  for the exchange of ads between ads agencies ...
Metadata interoperability via                 NoTube     http://notube.tv/tv-metadata-interoperability/ for more informati...
BBC /programmes     The BBC have made their EPG data machine-       readable and published it on the Web48          New tr...
BBC /programmes: add .rdf     http://www.bbc.co.uk/program                  http://www.bbc.co.uk/program     mes/b00rl5y1 ...
BBC /programmes ontology                                                                      This may the first TV conten...
Channel identifiers• Collected resolvable channel identifiers  together with relevant metadata in RDF, e.g.  1700+ channel...
Genre taxonomies• BBC, TV Anytime, YouTube, IMDB, tvgids.nl …• Convert them into RDF concepts and define SKOS  relations b...
Concept extraction• NLP tools identify named entities in text and attach  an unique identifier to theme.g. OpenCalais, Zem...
LUPedia     (http://lupedia.ontotext.com)54        New trends in television: social and semantic
Concept extraction for TV55      New trends in television: social and semantic
Linking TV content to Web content                                                               David Dickinson           ...
Pause57   New trends in television: social and semantic
(3) Extracting knowledge about the                userIdea: generating user profiles from data the user  creates on the So...
Facebook, Twitter & co.59     New trends in television: social and semantic
Activity Streams• RSS/Atom feeds include a title, description,  link and some other metadata;• Activity Streams extend thi...
61   New trends in television: social and semantic
Getting TV into the Social Network„ BBC iPlayer adds  Twitter and  Facebook to  socialise TV”     – Share what you are    ...
TV viewer actions•    Recorded•    Consumed•    Loved•    Bookmarked•    …63          New trends in television: social and...
Twitter activity64   New trends in television: social and semantic
Bringing it all together65    New trends in television: social and semantic
Eurovision example• Analyse tweets with the #eurovision tag over  a set time period (during the program)• Extract country ...
Getting the user‘s interests67       New trends in television: social and semantic
Beancounter architecture68      New trends in television: social and semantic
FOAF• RDF based format                        http://xmlns.com/foaf/spec/     – Defines properties for describing a person...
Weighted Interests• Add weighting to the foaf:interest property              See http://xmlns.notu.be/wi/70         New tr...
FOAF as common vocabulary71       New trends in television: social and semantic
Beancounter web UI72   New trends in television: social and semantic
Collecting user streams73     New trends in television: social and semantic
Viewer profile (1/2)74   New trends in television: social and semantic
Viewer profile (2/2)75   New trends in television: social and semantic
(4) TV content recommendation• Recommender strategy     – Collaborative recommendation       • You share interests with yo...
NoTube recommendation            approach77     New trends in television: social and semantic
Recommendation lifecycle               Graphic by Libby Miller, BBC78      New trends in television: social and semantic
Linked Data recommendations• The content-based approach:     – Identify weighted sets (patterns) of DBPedia       resource...
User interests (DBPedia concepts)80          New trends in television: social and semantic
Match user interest and TV             subjects81       New trends in television: social and semantic
N-Screen http://n-screen.notu.be82      New trends in television: social and semantic
Get recommendations83    New trends in television: social and semantic
TV recommendation calculation84        New trends in television: social and semantic
So, is this the future of television?       More: http://notube.tv/showcases/personalised-news/85              New trends ...
Or this? More: http://notube.tv/showcases/tv-guide-and-adaptive-ads/86            New trends in television: social and sem...
Or this?     More: http://notube.tv/showcases/tv-and-the-social-web/87              New trends in television: social and s...
And in the farther future?88      New trends in television: social and semantic
Interested in the project results?      Find out more online at www.notube.tv     All contents © NoTube project 2009-2012 ...
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  1. 1. Project overview and results1 New trends in television: social and semantic© NoTube project consortium. For re-use see notice at end.
  2. 2. TV on the Web: growing trend2 New trends in television: social and semantic
  3. 3. TV on the Web: channel explosion3 New trends in television: social and semantic
  4. 4. Source: Nielson Three Screen Report, March 20104 New trends in television: social and semantic
  5. 5. From „ Mobile Shopping Framework: The role of mobile devices in theshopping process” by Yahoo! and the Nielson company, January 2011http://advertising.yahoo.com/industry-knowledge/mobile-shopping-insight.html5 New trends in television: social and semantic
  6. 6. Including the Web in your TVYahoo! launches ConnectedTV platform for Web- based widgets on TV (e.g. Flickr, YouTube, facebook, twitter) – Jan 20096 New trends in television: social and semantic
  7. 7. Augmenting TV with the Web Blinkx BBTV makes video information and its textual transcript clickable, and links to Web sources such as IMDB and Wikipedia www.blinkxbbtv.com Also Mozilla has a project on showing content around videos using HTML5 www.drumbeat.org7 New trends in television: social and semantic
  8. 8. Some Web-TV solutions todayStand alone boxes such as• TiVo – original DVR, added on-demand video, YouTube, music and photos from the Web• Boxee – STB offering its own store of apps• AppleTV – relaunched as $99 product tied to iTunes content, and iPhone/iPad integration+ Hybrid boxes tied to specific IPTV providers+ Games consoles (Sony, Microsoft, Nintendo) also adding Internet and video services to TV!8 New trends in television: social and semantic
  9. 9. Some Web-TV solutions todayFirst TVs withintegrated Weband individualapp platformsin 2011.Future TVs willbe „connected“as standard. LG SmartTV, pic courtesy http://www.wired.com/gadgetlab/2011/01/lg-smart-tv/9 New trends in television: social and semantic
  10. 10. State of the art in TV• TV content shifting to the Web as delivery platform – An explosion in available content at any time• Web content shifting to the TV as augmentation of the TV experience – An explosion in additional content at any time10 New trends in television: social and semantic
  11. 11. Limitations of today‘s TV• Too much content in one place – How to find what you want to watch? Sort between live TV, TV on demand, archives, video portals and P2P-TV• Too much functionality at any one time – The whole Internet while you watch TV. But what do viewers really want to be able to do additionally (parallel) to watching TV?11 New trends in television: social and semantic
  12. 12. Social TV• Integrate the TV experience with the so-called Social Web – Who are my friends and what do they watch? – What do my friends like -> maybe I‘d like it too – Where are my friends now -> connect via the shared TV experience• Key goal for social TV – Enhance my TV experience through my friends‘ TV experience12 New trends in television: social and semantic
  13. 13. Semantic TV• Add formal semantic descriptions for – TV programmes – TV schedules (EPGs)• Link those descriptions to other semantic data on the Web, cf. Linked Data• Two key use cases for semantic TV: – Filtering of TV content -> personalisation, recommendation – Augmentation of TV content with Web data13 New trends in television: social and semantic
  14. 14. NoTube project• Integrating TV & Web with help of semantics – Open and interlink TV content in a Web fashion with Linked Open Data• Putting the user back in the driving seat – Connect multitude of distributed personal data with explicit semantics• TV is not bound to the device – Computer as TV & vice versa – Mobile device as remote control14 New trends in television: social and semantic
  15. 15. NoTube partners15 New trends in television: social and semantic
  16. 16. Bridging Web and TV cultures16 New trends in television: social and semantic
  17. 17. Rest of this slideset• Technological background (Semantic Web, Linked Data)• Semantic annotations for TV data (semantic TV)• Extracting knowledge from my activities and social graph (social TV)• TV content recommendation (personalized TV)• The further future: finally … interactive TV17 New trends in television: social and semantic
  18. 18. (1) Semantic Web, Linked Data “If computers can understand the meaning behind the information they can learn what we are interested in and better help us find what we want.”* * Source: http://www.slideshare.net/HatemMahmoud/web-30-the-semantic-web18 New trends in television: social and semantic
  19. 19. The Semantic Web The vision of what was termed the “Semantic Web“ first came to public attention through an article in Scientific American in May 2001. “The Semantic Web is not a separateWeb but an extension of the current one,in which information is given well-defined meaning, better enabling computers and people to work in cooperation.”* * Source: T. Berners-Lee, J. Hendler, O. Lassila; “The SemanticWeb”, Scientific American, 284(5):34–43, May 2001. 19 New trends in television: social and semantic
  20. 20. HTMLHTML was too limited for Web documents – it is purely a presentationformat. The tags in HTML have no meaning outside how content should berendered in the browser, and so the meaning of the content must beinterpreted by a human, hence excluding any possibility of machineprocessing. <u>James Bond</u> James Bond MI5 <b>MI5</b><br> Her Majestys Her Majestys Secret Secret Service<br> Service Secret HQ<br> Secret HQ <i>007 England</i><br> 007 England 20 New trends in television: social and semantic
  21. 21. XML <name>James Bond</name> <company> James Bond MI5 <shortname>MI5</shortname> Her Majestys Secret <fullname>Her Majestys Secret Service Service</fullname> Secret HQ <address><street>Secret HQ</street> 007 England <postcode>007</postcode> <country>England</country> </address> </company>The core idea of XML – Extensible Markup Language – is to provide fordefinitions of markup which allows self-describing tags, i.e. tags whichdescribe the meaning of the content they mark up rather than itspresentation 21 New trends in television: social and semantic
  22. 22. RDFRDF provides a graph structure for making statements about things.Individual things, and not just files, are given an URI identifier.This is where the Semantic Web begins. <flight>Flight AI288 http://my.org/flightAI288 <from>Vienna</from>- :from http://my.org/Vienna <to>Innsbruck</to> :to http://my.org/Innsbruck dep <dep>1.1. 1200</dep> :dep 01-01-2009T12:00 arr <arr>1.1. 1255</arr> :arr 01-01-2009T12:55 price <price>88€</price> :price „88“ </flight> :currency http://my.org/euro from is a child element of flight from is a property of the resource (syntactic structure) http://my.org/flightAI288 22 New trends in television: social and semantic
  23. 23. RDFSRDF Schema begins to formalise the meaning of things spoken about inRDF on the basis of computational logic. RDFS permits simple ontologies(models about concepts and their properties) to be defined, which can beused to conclude new knowledge. http://my.org/Vienna is a http://my.org/City http://my.org/flightAI288 :from http://my.org/Vienna http://my.org/City :to http://my.org/Innsbruck subClass of http://my.org/PopulatedPlace :dep 01-01-2009T12:00 :arr 01-01-2009T12:55 http://my.org/Vienna :price „88“ is a http://my.org/PopulatedPlace :currency http://my.org/euro 23 New trends in television: social and semantic
  24. 24. OWLOWL broadens the possible expressivity of the ontology. This makesricher models of knowledge about things possible, but at the cost of thosemodels being more complex for a computer to process. http://my.org/Vienna isPlaceIn http://my.org/Austria http://my.org/flightAI288 :from http://my.org/Vienna http://my.org/Austria :to http://my.org/Innsbruck isPlaceIn http://my.org/Europe :dep 01-01-2009T12:00 :arr 01-01-2009T12:55 isPlaceIn is a transitive property :price „88“ :currency http://my.org/euro http://my.org/Vienna isPlaceIn http://my.org/Europe 24 New trends in television: social and semantic
  25. 25. SPARQLThe final block of the Semantic Web that we will cover in this introduction isSPARQL, the query language for semantic data using the RDF data model(which includes OWL). Is there a flight from Vienna to somewhere in Austria for a price under 100 euros? http://my.org/flightAI288 SELECT ?flight :from http://my.org/Vienna WHERE :to http://my.org/Innsbruck ?flight :from http://my.org/Vienna :dep 01-01-2009T12:00 ?flight :to ?place :arr 01-01-2009T12:55 ?place :isPlaceIn :price „88“ http://my.org/Austria :currency http://my.org/euro ?flight :price ?price ?flight :currency http://my.org/euro FILTER (?price < 100)‫‏‬ 25 New trends in television: social and semantic
  26. 26. Semantic Web principles• Every concept can be identified with URIs• Resources and relationships are typed semantically• Partial information is acceptable• Absolute truth is not necessary• Evolution as a development principle 26 New trends in television: social and semantic
  27. 27. Linked Data principles• Use URIs as names of things• Use HTTP URIs so that people can look up those names• When someone looks up an URI, provide useful information• Include links to other URIs, so that they can discover more things27 New trends in television: social and semantic
  28. 28. Semantic Web vs Linked Data“In contrast to the full-fledged Semantic Web vision, linkeddata is mainly about publishing structured data in RDF usingURIs rather than focusing on the ontological level orinference. This simplification - just as the Web simplified theestablished academic approaches of Hypertext systems -lowers the entry barrier for data providers, hence fosters awidespread adoption.” - Reference vs28 New trends in television: social and semantic
  29. 29. Linked Data cloud29 New trends in television: social and semantic
  30. 30. Linked Data for music & TV30 New trends in television: social and semantic
  31. 31. DBPedia: Wikipedia as Linked Data31 New trends in television: social and semantic
  32. 32. DBPedia Mobile Pictures from revyu.com Try yourself: http://wiki.dbpedia.org/ DBpediaMobile32 New trends in television: social and semantic
  33. 33. Resources and representations non-information resource http://dbpedia.org/resource/Berlin HTML representation RDF representation.../page/Berlin .../data/Berlin33 New trends in television: social and semantic
  34. 34. Linking things, not documentshttp://dbpedia.org/resource/ABBA sameAs http://www.bbc.co.uk/music/artists/d87e52c5- bb8d-4da8-b941-9f4928627dc8#artist 34 New trends in television: social and semantic
  35. 35. Browsing things, not documentshttp://dbpedia.org/resource/ABBA themeMusicComposer http://dbpedia.org/resource/Knowing_Me%2C_ Knowing_You..._with_Alan_Partridge 35 New trends in television: social and semantic
  36. 36. Asking for things, not documentsWhich music artists have composed the theme music for a BBC comedy program? 36 New trends in television: social and semantic
  37. 37. (2) Semantic annotation for TV• What can we annotate in TV? – The program schedule – The TV program – TV program segments• How can we annotate TV? – Feature description (low level, analysis based) – Metadata (date, creator, legal notice) – Content description (title, summary, genre, concepts)37 New trends in television: social and semantic
  38. 38. Why have metadata?Archives from where content has to be found and retrieved have been the place where the need for accurate documentation first arose.38 New trends in television: social and semantic
  39. 39. Broadcast metadata• Data about data – All digital resources (A/V, scripts, contracts, reports, pictures, etc.) are data – Metadata is created at all stages in broadcasting from commissioning to playout• Three main categories – Administrative metadata • Replacing project and asset management paperwork – Technical metadata • Format, processing, identification, location, database, network – Descriptive metadata • All asset related information, human readable39 New trends in television: social and semantic
  40. 40. Need for common standards Broadcaster Broadcaster Broadcaster TV Content NoTube 1 2 3 Creator 1 Exchange of informationhampered by lots of proprietary interfaces TV Content TV Content TV Archive TV Archive n+1 Creator 2 Creator 3 1 2 40 New trends in television: social and semantic
  41. 41. EPGs Screenshot http://www.ifanzy.nl41 New trends in television: social and semantic
  42. 42. EPG data• An EPG is composed of two parts: content descriptions and broadcast description• Content descriptions contain static data about television programmes such as a brand name (e.g. EastEnders), description or plot summary, type of programme, (e.g. series, movie, news), genre(s) (e.g. drama) actors, directors, recording data, etc.• Broadcast description is expressed by variable data, such as channel (e.g. BBC ONE), format (e.g. 16:9) and broadcast media (e.g. digital television)42 New trends in television: social and semantic
  43. 43. TVAnytime (1/2)• Unique document structure – Program description – Program location – Program segmentation – User description & personalisation – System aspects – Content rights43 New trends in television: social and semantic
  44. 44. TVAnytime (2/2)• Advantages of TV-Anytime – It is network and middleware independent – Supports related material, segmentation, locators, group information etc.• Applications of TV-Anytime – ARIB – DVB (MHP, DVB GBS, DVB IPI, DVB CBMS) – Asian User Groups, Korea – US’ Consumer Electronic Association – HbbTV44 New trends in television: social and semantic
  45. 45. TVAnytime schema45 New trends in television: social and semantic
  46. 46. Other models in use• egtaMETA - a unique metadata exchange schema dedicated for the exchange of ads between ads agencies and broadcasters. NoTube was an early tester of the schema in its personalised advertisements use case.• BMF – an abstract semantic model designed for metadata exchange in the professional media production domain. ARD in Germany is starting to use BMF.• Presto Space – format generated by the project of the same name to provide for digital preservation of audiovisual collections. Used by NoTube partner RAI.46 New trends in television: social and semantic
  47. 47. Metadata interoperability via NoTube http://notube.tv/tv-metadata-interoperability/ for more information47 New trends in television: social and semantic
  48. 48. BBC /programmes The BBC have made their EPG data machine- readable and published it on the Web48 New trends in television: social and semantic
  49. 49. BBC /programmes: add .rdf http://www.bbc.co.uk/program http://www.bbc.co.uk/program mes/b00rl5y1 mes/b00rl5y1.rdf49 New trends in television: social and semantic
  50. 50. BBC /programmes ontology This may the first TV content ontology, but certainly not the last! Key organisations in the TV standards domain are exploring the publication of metadata in RDF or SKOS: • EBU (Core) • TV-Anytime • IPTC (NewsML) The final step must be a common shared ontology integrating the different schemas (cf.W3C Media Ontology and API)From http://purl.org/ontology/po/ 50 New trends in television: social and semantic
  51. 51. Channel identifiers• Collected resolvable channel identifiers together with relevant metadata in RDF, e.g. 1700+ channel identifiers of Freebasehttp://www.cs.vu.nl/~ronny/notube/tv-channels.rdf51 New trends in television: social and semantic
  52. 52. Genre taxonomies• BBC, TV Anytime, YouTube, IMDB, tvgids.nl …• Convert them into RDF concepts and define SKOS relations between them, e.g. EBU has done this for the TV Anytime Classification scheme52 New trends in television: social and semantic
  53. 53. Concept extraction• NLP tools identify named entities in text and attach an unique identifier to theme.g. OpenCalais, Zemanta• Focus on key classes of entity such as person, place or organisation• Use of Linked Data for common concept identifiers• Ontotext developed specifically for TV metadata the tool LUPedia53 New trends in television: social and semantic
  54. 54. LUPedia (http://lupedia.ontotext.com)54 New trends in television: social and semantic
  55. 55. Concept extraction for TV55 New trends in television: social and semantic
  56. 56. Linking TV content to Web content David Dickinson starring Tim Wonnacott birthplace Barnstaple56 New trends in television: social and semantic
  57. 57. Pause57 New trends in television: social and semantic
  58. 58. (3) Extracting knowledge about the userIdea: generating user profiles from data the user creates on the Social Web, and in this way facilitating a personalised TV experience without an intrusive user profiling process.58 New trends in television: social and semantic
  59. 59. Facebook, Twitter & co.59 New trends in television: social and semantic
  60. 60. Activity Streams• RSS/Atom feeds include a title, description, link and some other metadata;• Activity Streams extend this with a verb and an object type – to allow expression of intent and meaning – to provide a means to syndicate user activities• Supported by Facebook, MySpace, Windows Live, Google Buzz and…60 New trends in television: social and semantic
  61. 61. 61 New trends in television: social and semantic
  62. 62. Getting TV into the Social Network„ BBC iPlayer adds Twitter and Facebook to socialise TV” – Share what you are watching on iPlayer – Sync viewing with friends – Real time chat Techcrunch Europe, May 26 201062 New trends in television: social and semantic
  63. 63. TV viewer actions• Recorded• Consumed• Loved• Bookmarked• …63 New trends in television: social and semantic
  64. 64. Twitter activity64 New trends in television: social and semantic
  65. 65. Bringing it all together65 New trends in television: social and semantic
  66. 66. Eurovision example• Analyse tweets with the #eurovision tag over a set time period (during the program)• Extract country and positive/negative remark66 New trends in television: social and semantic
  67. 67. Getting the user‘s interests67 New trends in television: social and semantic
  68. 68. Beancounter architecture68 New trends in television: social and semantic
  69. 69. FOAF• RDF based format http://xmlns.com/foaf/spec/ – Defines properties for describing a person and their relations to other people and objects69 New trends in television: social and semantic
  70. 70. Weighted Interests• Add weighting to the foaf:interest property See http://xmlns.notu.be/wi/70 New trends in television: social and semantic
  71. 71. FOAF as common vocabulary71 New trends in television: social and semantic
  72. 72. Beancounter web UI72 New trends in television: social and semantic
  73. 73. Collecting user streams73 New trends in television: social and semantic
  74. 74. Viewer profile (1/2)74 New trends in television: social and semantic
  75. 75. Viewer profile (2/2)75 New trends in television: social and semantic
  76. 76. (4) TV content recommendation• Recommender strategy – Collaborative recommendation • You share interests with your friends • Statistical analysis: what content is liked/watched quantitively more by others with similar interests/history – Content-based recommendation • An interest in X means a potential interest in Y • Pattern-based analysis: what content has related concepts to the content liked/watched by you – Hybrid recommendation • Best of both!76 New trends in television: social and semantic
  77. 77. NoTube recommendation approach77 New trends in television: social and semantic
  78. 78. Recommendation lifecycle Graphic by Libby Miller, BBC78 New trends in television: social and semantic
  79. 79. Linked Data recommendations• The content-based approach: – Identify weighted sets (patterns) of DBPedia resources from user activity objects – Compute distance between DBPedia concepts in the user profile and in the program schedule through its SKOS-based categorisation scheme – Choose the matches above a certain threshold for TV programme recommendation79 New trends in television: social and semantic
  80. 80. User interests (DBPedia concepts)80 New trends in television: social and semantic
  81. 81. Match user interest and TV subjects81 New trends in television: social and semantic
  82. 82. N-Screen http://n-screen.notu.be82 New trends in television: social and semantic
  83. 83. Get recommendations83 New trends in television: social and semantic
  84. 84. TV recommendation calculation84 New trends in television: social and semantic
  85. 85. So, is this the future of television? More: http://notube.tv/showcases/personalised-news/85 New trends in television: social and semantic
  86. 86. Or this? More: http://notube.tv/showcases/tv-guide-and-adaptive-ads/86 New trends in television: social and semantic
  87. 87. Or this? More: http://notube.tv/showcases/tv-and-the-social-web/87 New trends in television: social and semantic
  88. 88. And in the farther future?88 New trends in television: social and semantic
  89. 89. Interested in the project results? Find out more online at www.notube.tv All contents © NoTube project 2009-2012 No re-use of any slides or content of slides without explicit acknowledgement of: NoTube project, www.notube.tv & this slideset, www.notube.tv/slides89 New trends in television: social and semantic
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