TECHNISCHE HOCHSCHUE MITTELHESSEN

Semantic Web@TV Project

Design and Specification of project

Uday Sharma

8/19/2013

This document specifies and Design and Specification of Semantic Web@TV project also demonstrate ideas for the project.

1 CONTENTSVision For Follow Channel...........................................................................................................................3

2 Follow Channel....................................................................................................................................3

Vision For Follow Event...............................................................................................................................4

3 Follow Event........................................................................................................................................4

Vision For Recommendation Service...........................................................................................................6

4 Recommendation Service...................................................................................................................6

VISION FOR FOLLOW CHANNEL1 FOLLOW CHANNELTV viewers like to follow channel information. In this case TV channel can make them page on facebook or start them twitter account so TV app can take viewers input via follow me button and start search content on facebook or on twitter.

Figure 1 show how viewer can get information about them like channel from the social website

(facebook and twitter) and display it on HbbTV so viewer can enjoy tweets and event video at

time.

o Viewer following RTL TV channel and service will allow viewer to get connected with RTL

facebook or twitter account.

o Service starts gathering tweets or posts either from the facebook or from the twitter and

send to the TV.

o TV shows channel information as a headline. So viewer can see video and headline at

same time.

VISION FOR FOLLOW EVENT2 FOLLOW EVENTViewers always look new thing and providing event information to the viewers it may be an

interesting for them. Below diagram describe how user get event information from the World

Wide Web and they can see those information on the TV screen and they can share this

information on facebook so other people can follow and can take advantage of posted data.

Figure 2 describe follow me event. Viewer can get more intelligent information out of the

simple event information. As we can see HbbTV service can take description of the event and

pass it to the engine. This semantic intelligent engine clips data into subject object and

predicate format and then generates meaningful text. This generated text get search on the

World Wide Web and get some interesting information about the events and display

information on TV screen.

Introducing all the step of the follow me event architecture

o Event has own information and viewers likes to see more intelligent information from the

given information. So our HbbTV gather given event text and pass it to the engine.

o Engine itself has a power of semantic web which will sense simple text and make it more

productive. This engine will break text into Subject, Predicate (relationship) and object

format and stores data into the RDF triple store database.

o Using Sparql query application fetch information from the database and pass it to the

engine.

o Engine recombines Subject, Predicate and Object and generates new text or concatenate

with other sentence.

o Generated text are more meaningful then the previous text. This text intelligently

generated to search on World Wide Web.

o Text is getting search on World Wide Web and tries to find out exact information regarding

event.

o Application collects information from the website in structure format (eg. XML or Json). And

provide it to the TV UI.

o UI start parsing given XML or Json data and generate template and list all item on to the TV.

TV also attaches facebook like buttons with every description.

o If viewers likes some product from the event then they can post it on them facebook

account using facebook like button.

VISION FOR RECOMMENDATION SERVICE

3 RECOMMENDATION SERVICEOnce the viewer likes the t-shirt, it will get post on the facebook and if more user likes the same t-shirt then like rate will get increase even facebook user can make comment on the t-shirt. So by using rate of like and number of comments on t-shirt application can recommend it to the T-shirt showroom.

This application is not only for the t-shirt. This application relates to all the product or topics which are famous like e.g. If viewer are looking for elections and during news if news channel ask for the poll for social parties, then viewer can online give them poll for them like parties. This polling is very live. News channel can recommend this polling to another news channels or to the facebook user who are interested in them channel.

500 Comments

Background application (Viewer likes T-shirts and application will post t-shirt on facebook. T-shirt get recommend on the T-shirt show room facebook page once t-shirt get more then 1000 likes and 500 comments.)

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Figure 1 show how viewer can post or poll for them like product or information. Let’s

understand above architecture step by step.

o Viewer can like them product or information.

o Application takes user like data and posts it on to the channel facebook page.

o In background application always detect for the rate of like and number of comments

once like rate is 1000 and comment number is 500 then application decide to give

recommendation to the related organization who are interested for this result.

o Facebook look for the related organization and post recommendation box on the organization

page so organization gets to know about viewer’s current demand.