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Semantic Web
 

Semantic Web

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    Semantic Web Semantic Web Presentation Transcript

    • Moving From Noise to Signal Semantic Web
    • Agenda
      • Introduction
      • Semantic Web
        • What is Semantic Web?
        • Why it matters?
        • How to Semantify the Web?
      • Web 3.0
      • Linked Data
    • Introduction
      • 1.3+ billion people connected to the web
      • 2006
        • 161 EB of information created/replicated (1 EB = 1 billion GB)
        • Technical information doubled every 2 years
      • By 2010
        • six times to 988Eb (approx = 1 ZB)
        • Technical information will double every 72 hours
      • Computers, mobile phones, intelligent devices
      • Internet is broken – not one web – unable to communicate
    • Information Overload Is that really how the Web experience is supposed to feel?
      • Key Problem – how to share meaning?
      • Filtering, not aggregating.
      • Not more, just smarter.
    • Semantics?
      • Related to Syntax
      • Syntax – How you say something (letters, punctuation, grammar) eg. HTML
      • Semantics – Meaning behind what you say
      • Example:
      • I Love Technology
      • I Technology
    • What’s the big deal?
      • Internet
      • std way to communicate
      • Parrot – mimic w/o understanding
      • The Web
      • Store and retrieve docs on the internet
      • syntax to display the doc (HTML)
      • Search Engines
      • Find any website that we want
      Life is good!!! Can we make it any better?? How??
    • The Answer – Semantic Web
      • Understand the meaning behind webpages
      • Web of Things vs Web of Documents
      • Things can be ANYTHING – people, places, pets, events, music, movies, organizations….
      • Not only identify these things but also relationships (Human-like!!!)
      • Embed semantics in html docs – microformats, RDF
      • It’s not about the future…it’s about Today!!!
    • The Possibilities
    •  
    • Why Semantic Web?
      • Spend less time searching
      • Spend less time looking at things that do not matter
      • Spend less time explaining what we want to computers
      • Bottomline – improve the online experience!!!
    • Cartoon by Geek and Poke
    • It’s all about the noise… Web 1.0: Get (hear & see) ‘Noise’ Web 2.0: Make Noise Web 3.0: Filter the Noise Web 4.0: Going deaf….or SmartNoise
    • Semantifying the Web - Approaches
      • Bottom Up
        • Annotating information in web pages with machine readable tags
      • Technical Challenges
        • Representational Complexity
        • How to create – manual/automatic?
        • How much can be transformed?
        • Standard Issue
      • Business Challenges
        • It’s primitive
        • Consumer Value?
        • How to market?
      • Recent Wins:
        • Yahoo search engine to support RDF, MF
        • Dapper – automated annotation tool
    • Annotation Technologies
      • Trade-off between simplicity and completeness
      • RDF
        • Graph based – things, attributes, relationships
        • Precise but complex
        • Triple
      • Microformats
        • Uses specific CSS styles
        • Compact
        • Embedded in HTML
        • gaining popularity because of their simplicity
        • Popular microformats:
          • hCard: describes personal and company contact information
          • hReview: adds meta information to review pages
          • hCalendar: used to describe events
        • Limitations
          • no way to described type hierarchies
          • somewhat cryptic, because the focus is to keep the annotations to a minimum
        • Flickr, Eventful, and LinkedIn
    • Semantifying the Web - Approaches
      • Top Down
        • Focused on leveraging information in existing web pages
        • As – is
        • NLP Tools (entity extraction)
          • Calais & TextWise – APIs that recognize people, companies, places in docs
          • Vertical Search Engines – ZoomInfo, Spock & Retrevo
          • Dapper, BlueOrganizer, ClearForest – recognize objects in web pages & annotate them
          • Yahoo! Shortcuts, Snap, Smartlinks – recognize objects in text and links
      • Challenges
        • Not 100% perfect, has ambiguities
        • May not scale well
    • Map+ add-on for Firefox vertical search engine Spock
    • More Annotations  Structured Web  More Precise Top-Down
      • Web 3.0 = Semantic Web = Linked Data
      • Are They Equal??
    •  
    • Structured Data
        • RDBMS
          • Powerful and flexible
          • Pre-defined relationships and usage of data
          • Too constraining and too structured
            • Schema changes are expensive
            • Virtually impossible to make different DBs speak
      • Linked Data
        • Establish linkages at the data level(RDF)
        • Bridges the gap between unstructured and structured data
        • Does not add any semantic meaning to the information
    • Linked Data
      • Medium for the semantic web
      • It does not create smart data, only enables it
      • Relies on clean, granular, structured data
      • Pre-Structured
      • Pre-Connected
    • Further Reading
        • RDF, OWL, Microformats, FOAF
        • Linked Data
        • Semantic APIs