Social Semantic Web
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Transcript of Social Semantic Web
Social Semantic Web
Seyed Mohammad Masoud Sadrnezhaadhttp://sadrnezhaad.ir/smm
Licensed under CC Attr ibution-Noncommercial-Share Alike 3.0
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Contents
Web 2.0 and Web 3.02
Semantic Web Projects and Examples
Introduction to Web of Data1
Human Computing3
Questions5
Captcha4
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Web of Data
Definition Purpose Recognizable for Machines
Tim Berners Lee WWW W3C Semantic Web
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Web 2 Definition Web => Platform Form Web to Web 2 Purpose Technical Solutions Photo and
Vocabulary Tags Examples
“Web 2.0 is a notion for a row of
interactive and collaborative
systems of the internet“
Period Technology
2004 – 2007 Web
2007 – 2010 Web 2
2010 – Today! Web 3
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Examples
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Examples
Information Sharing: Office: Google DocumentsPhoto Sharing and Tagging: FlickrVideo sharing: YouTubeBlogs, RSS, Blogger.comOpen Source Community: LinuxTagging and Bookmarks: Del.icio.us
(Social Tagging for Bookmarks)File ManagementGoogle Maps
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Examples
Social Websites and Communication: Facebook Balatarin LastFM Skype StudiVZ LinkedIn, Xing Gmail
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Examples Wikis
Most famous and biggest Wiki: Wikipedia (Online encyclopedia)
Worlds biggest encyclopedia, Top 10 web site, 100 langueges
social: collaborative (nobody owns contents) Wiki invented by Ward Cunningham But: Also often used in Intranets (i. e. our
group) Problems solved socially instead of technically Flexible structure
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Wikipediah
ttp
://e
n.w
ikip
ed
ia.o
rg/w
iki/
Wik
ipe
dia
:Sta
tis
tic
s
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Flickr.com
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Tag Clouds
Orientation in Information Set
Browsing replaces
Searching
Different meaning for
different users
Size of Tags: count of usage
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Web 2 EvolutionTechnical Evolution
Web User Interfaces become faster (AJAX) Desktop shifts to Web (GMail, AJAX)
Social Evolution Collective creates additional value (Wiki,
Tagging) Free contents become popular (Licenses) Attention is getting monetarized (Text-Ads) Websites with additional value by
recombination (Mash-Ups, RSS)
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Media for Communities
DBpedia
FOAF
SIOC
NextBIO
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Captcha
DescriptionUsageCAPTCHA can NOT provide User
authentication. General types
Text Image Audio
reCaptcha
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reCaptcha
Make use of Human Computing Power
Take text from books that could not be deciphered with OCR.
Repeat unti l enough users agree on the unknown text.
This text is now known and book has been digitally encoded.
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ImageHunter & Human Computing
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Conclusion
The first thing of Human Computing research is f inding a clear PURPOSE
How your game or method to achieve the purpose
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RDF
Formats: microdata, microformats, or RDFa.
Started with its own vocabulary
http://rdf.data-vocabulary.org/
Meanwhile supports other popular vocabularies l ike foaf or vCard
Stil l sort of experimental – but with a high potential
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RDF and
Google is introducing what they call r ich snippets.
“With rich snippets, webmasters with sites containing structured content—for example, review sites or business l ist ings—can label their content to make it clear that each labeled piece of text represents a certain type of data .. .”
Currently only for review sites and social networking/people profi le si tes.
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Why Google and Wikipedia Are Not Enough!
Answer „Knowledge Queries” such as: proteins that inhibit proteases and other
human enzymes connection between Thomas Mann and
Goethe German Nobel prize winner who survived
both world wars and all of his four children German universities with world-class
computer scientists politicians who are also scientists
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Why Google and Wikipedia Are Not Enough!
Which polit icians are also scientists?
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NAGA Example
Query:$x isa polit ician$x isa scientist
Results:Benjamin FranklinPaul WolfowitzAngela Merkel…
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Question & Answer
http://tehlug.org