=Paper= {{Paper |id=None |storemode=property |title=NoTube: making television more personal |pdfUrl=https://ceur-ws.org/Vol-647/paper10.pdf |volume=Vol-647 }} ==NoTube: making television more personal== https://ceur-ws.org/Vol-647/paper10.pdf
                NoTube: Making Television More Personal

                               The NoTube project consortium1

Abstract. The NoTube European project looks at creating the future of TV, in which
the TV user will be placed back in the driver’s seat by having a personalized TV
experience with rich interaction possibilities. For this, new technologies like Linked
Data, Semantic Web and Social Web data analysis are applied to the TV domain.


   The ultimate goal of the EU project NoTube is to develop an adaptive end-to-end
architecture, based on semantic technologies, for personalized creation, distribution
and consumption of TV content. The project takes a user-centric approach to
investigate fundamental aspects of consumers' content-customization needs,
interaction requirements and entertainment wishes, which will shape the future of the
"TV" in all its new forms. To achieve all that NoTube is working on the following
challenges:

        Integration of TV & Web with help of semantics: Currently there are many
         practical software and hardware hurdles for users to handle such integration.
         NoTube is using semantics (e.g. linked open data) to open and interlink TV
         content in a Web fashion.
        Putting the user back in the driving seat: Personalized services are now
         common, but the user data is still under the control of separate applications,
         and the users are faced with multitude of distributed personal data, hidden in
         tons of inaccessible cookies
        TV is not bound to one device: We currently witness multiple device usage
         scenarios, e.g. use of computer as TV & vice versa and use of mobile device
         as remote control. In this context, NoTube architecture aims to support
         device independence.

The main challenges in the television domain are the scale of the content available
and the need for filtering and personalization of the content. These challenges are
explored from different content and user perspectives within three representative
scenarios for future television enabled by semantic technology:




1 http://www.notube.tv/project/partners
                   Figure 1. RAI demonstrator for personalized news

        Personalised News [1]. This demonstrator (Figure 1), using archival content
         from RAI, shows how news programs can be enriched with concepts
         (people, places, themes) that allow easy browsing to additional information.
         The screenshot shows (above) an alert, which allows the user to be informed
         when a important news story enters in his home ambient.




              Figure 2. Stoneroos demonstrator of a personalized TV guide.

        iFanzy2 Personalised TV Guide. The iFanzy demonstrator (Figure 2),
         developed by Stoneroos, enables the user to build in a simple fashion a
         profile which can be used to generate different types of recommendations for
         personal EPG. This screen shot (above) shows iFanzy in action with Dutch
         programs and Dutch EPG data.


2 http://www.ifanzy.nl
           Figure 3. BBC demonstrator of TV programme recommendations
        TV and the Social Web [2]. This demonstrator (Figure 3), driven by BBC use
         cases and content, shows how TV watching can be personalised using Social
         Web data and facilitating a personalised TV experience without an intrusive
         user profiling process. It illustrates how TV can be linked to your own or you
         friend’s social-web data, such as bookmarks and Facebook profiles. The
         screen shot shows a recommendation based on such data using a MythTV 3
         front end.

   To enable this vision, sets of services are developed for users, metadata and TV
content, which are described semantically and mediated by a broker. Specific
applications are also developed to make use of those services to provide the desired
functionalities, e.g. user activity capture, content recommendation. This open TV and
Web infrastructure is illustrated in Figure 4. Major features in the NoTube service
architecture are:

        User, Metadata and Content oriented services: the complete content
         selection, adaptation and delivery process from content provider to home
         ambient is supported.
        Service brokering: Automated configuration of services based on explicit
         semantic descriptions of the services, which are gathered in the repository.
        Multiple devices: Functionality of NoTube should not be limited to single
         devices. The demonstrators run on a TV with a setup box, on computers and
         on mobile devices, as well as one combinations of these (e.g. mobile device
         as remote control showing recommendations).




3 http://www.mythtv.org/
                     Figure 4. NoTube high level architecture.


 For more information about the future of television, please refer to the project
Website http://www.notube.tv and follow the project blog http://blog.notu.be

References

[1] "Personalised Semantic News: combining Semantics and Television", Robert
Borgotallo, Roberto del Pero, Alberto Messina, Fulvio Negro, Luca Vignaroli, Lora
Aroyo, Chris van Aart and Alex Conconi at the 1st International ICST Conference on
User-centric Media - UCMedia 2009. Dec 2009.
[2] "Linking TV And Web Using Semantics, A NoTube Application", Balthasar
Schopman, Davide Palmisano, Ronald Siebes, Chris van Aart, Véronique Malaise,
Michele Minno and Lora Aroyo. In 1st NoTube workshop on Future Television, in
the Adjunct Proc. EuroITV 2010. Jun 2010.