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@twitter Mining #Microblogs Using #Semantic Technologies
 

@twitter Mining #Microblogs Using #Semantic Technologies

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Presenation of Selver Softic at 6th Workshop on Semantic Web Applications and Perspectives (SWAP 2010)

Presenation of Selver Softic at 6th Workshop on Semantic Web Applications and Perspectives (SWAP 2010)

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    @twitter Mining #Microblogs Using #Semantic Technologies @twitter Mining #Microblogs Using #Semantic Technologies Presentation Transcript

    • @twitter Mining #MicroblogsUsing #SemanticTechnologies
      Selver Softic, Martin Ebner, Herbert Mühlburger , Thomas Altmann, Behnam Taraghi
    • Web 2.0 - well knownstory
      Web 2.0 technologiesbroughtuserscloserto Web …
      Wikis, Blogs, Forums …
      Podcasts, RSS, XML …
      … thenusersstarted
      togeneratecontent …
      Source: http:mediabistro.com
    • From Web toSocial Web
      Result = a vastofinformation
      Text, Pictures, Audio, Videos ….
      Communication, networking, exchangeofdata
      Web becamemore personal
      Cultural, geographicalandsocialbordersdisappeared
      Source: http://www.ignitesocialmedia.com
    • Social Media Boom!
    • Socialsitesaredatasilos
      source: www.pidgintech.com
    • But still disconnected ?
      source: www.pidgintech.com
    • Data is still captured in Walled Garden!
    • Statements
      Social Web relies on usersandcommunicationamongthem
      Whilecommunicatingusersproduceorconsumecontent
      Socialsitesaredatasilosrich on varietyofinformation
      Thisinformationcouldbeinterestingfor:
      monitoring of trends, advertising, statistics, reputation, news broadcasting , tagging …
      Thisdataiscaptured in Walledgarden !!!
    • Questions
      Howtousethisdatatogainmoreusefulinsights
      Whataretheadvantagesof online (offline) search on such dataandhowtoreachit in an uniform way
      Is itpossibletostructurize, connectandexposethedata in order tobeusedbyhumansandmachinesmoreefficiently
      Whatwould an architecturelooklikeforthisissue
    • Social Web Trends
      Microblogging
      SocialBookmarking
      Social Networking
      Social Marketing
      Sharing Photos, Videos …
      Source: http://socialwebresearch.com
    • Microblogs
      Microblogs
      Usedforcommunication,publishingandinformationexchange
      Simple forprocessing
      Information generatedbymany different users
      Socialuserrelations
      Tripartitecommunicationstructure
      Varietyofinformations
      Noboundariesbyculture,locationortechnology (mobile users)
      Twitter
      Most Popular
      Large amountoddata
      But limited
      According: http://an.kaist.ac.kr/traces/WWW2010.html
      41.7 million user profiles, 1.47 billion social relations, 4,262 trending topics, and 106 million tweets
    • SemanticaspectsandTwitter
      Twitter
      User realtions
      Tweetsasshortinformationartefacts
      Communication withtripartitepattern
      Time relatedinformation
      Vocabularies
      SIOC, FOAF, Dublin Core
    • Linked Data andTwitter
      Twittercontainsinfos on:
      People, Organisations, Locations, Trends …
      LOD Cloudcontains
      Billionsoftriplesabout:
      Geolocations , dataaboutscience, government, commonknowledge, persons, news …
      Vocabularies
      MOAT, CommmonTag
    • Architecture model
    • Acquisition - Grabeeter
    • Grabeeter
      Search in your Tweets
      Filter your Tweets by date
      Search in your Tweets offline using the Grabeeter Client
      Filter your tweets offline using the Grabeeter Client
      Grabeeter provides an API
    • Triplification Module
      Author
      Date
      Content
      Reciever
      <tweet url="http://grabeeter.tugraz.at/tweet/199272" text="Sitting in Prater #vienna, launch party. Nice" screen_name="selvers" created="2010-08-19" twitterUrl="http://twitter.com/selvers/status/21606926237"/>
      RDF
      Store
      Triplifier
    • Triplification Module
      @prefix foaf: <http://xmlns.com/foaf/0.1/> .
      @prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
      @prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
      @prefix sioc: <http://rdfs.org/sioc/ns#> .
      @prefix sioct: <http://rdfs.org/sioc/types#> .
      @prefix dcterms: <http://purl.org/dc/terms/#> .
      <http://twitter.com/selvers/status/21606926237> rdf:typesioct:MicroblogPost ;
      sioc:content "Sitting in Prater #vienna, launch party. Nice" ;
      sioc:has_creator <http://twitter.com/selvers/> ;
      foaf:maker <http://grabeteer.tugraz.at/foaf/selvers/> ;
      dcterms:created “2010-08-19” ;
      rdfs:sameAs <http://grabeeter.tugraz.at/tweet/199272> .
      <http://twitter.com/selvers/> rdf:typefoaf:Person ;
      foaf:name "SelverSoftic" ;
      foaf:depiction <http://a0.twimg.com/profile_images/905118560/f9e4b6eba.13070201_3_normal.jpg> ;
      foaf:knows <http://twitter.com/hmuehlburger/> ;
      foaf:knows <http://twitter.com/mhausenblas/> ;
      foaf:knows <http://twitter.com/mebner/> .

    • Interlinking Module
      Hashtags (People, Organisation, Locations)
      MOAT, CommonTag
      Later NLP processedcontent, SILK Framework
      SELECT ?post ?content ?maker ?name
      WHERE {
      ?post rdf:typesioct:MicroblogPost;
      foaf:maker ?maker;
      ?makerfoaf:name ?name;
      sioc:content ?content.
      FILTER(regex(?content,#vienna))
      }
      Classifier
      tag: tagName "vienna" ;
      moat: tagMeaning
      <http://dbpedia .org/resource/Vienna>
      tag: taggedResource <http://twitter.com/selvers/status/2160692623>
    • Analysis
    • Conclusions & Outlook
      Currentstateofthearttechnologiessufficetorealisetheproposedarchitectureparadigm
      Interlinkingwith LOD Cloud (Tweet-O-Sphere)
      Involving NLP Methods
      Sentiment classification
      (Re)TaggingofTweets
      Providing SPARQL Endpoint + Lookup Serviceasresearchinterface
      SocialSemantic Web Apps
    • Questions?