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Web Evolution   Nova Spivack   Twine
 

Web Evolution Nova Spivack Twine

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A talk on the past, present, and future evolution of the Web -- Where it's headed and in particular, the Semantic Web, and where it fits. ...

A talk on the past, present, and future evolution of the Web -- Where it's headed and in particular, the Semantic Web, and where it fits.

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    Web Evolution   Nova Spivack   Twine Web Evolution Nova Spivack Twine Presentation Transcript

    • Web
      Evolution
      Nova Spivack
      nova@twine.com
    • The Intelligence is in the Connections
      Intelligent Web
      Web OS
      Web 4.0
      Semantic Web
      2018
      Intelligent personal agents
      Real-Time Web
      Web 3.0
      Natural Language Search
      SWRL
      Activity streams
      2009
      OWL
      SPARQL
      Lifestreaming
      AJAX
      OpenID
      Semantic Search
      Social Web
      Microblogging
      Widgets
      ATOM
      RSS
      RDF
      Mashups
      P2P
      Memetrackers
      Office 2.0
      Web 2.0
      Javascript
      Flash
      SOAP
      Virtual worlds
      Blogging
      XML
      Social Media
      1999
      The Web
      Java
      HTML
      Social Networks
      SaaS
      Connections between Information
      HTTP
      Wikis
      Directory Portals
      VR
      Online Services
      Keyword Search
      Lightweight Collaboration
      Web 1.0
      Websites
      BBS
      Gopher
      1989
      SQL
      MacOS
      Consumer online services
      The Desktop
      Groupware
      SGML
      Multimedia
      CDROMs
      Databases
      Windows
      File Servers
      The Internet
      PC Era
      Email
      IRC
      1977
      FTP
      USENET
      PC’s
      File Systems
      Connections between people
    • The Future of Search
      Semantic technologies help to regain
      Productivity in the face of overwhelming
      Information growth…
      The Intelligent Web
      Web 4.0
      2018
      Web scale reasoning
      Intelligent agents
      The Semantic Web
      Web 3.0
      Natural language search
      2009
      Automatic semantic tagging (Ontologies)
      The Social Web
      Web 2.0
      Human social tagging “folksonomies”
      Productivity of Search
      The World Wide Web
      1998
      Web 1.0
      1989
      Keyword search
      The Desktop
      Directories
      PC Era
      As amount of data grows, keyword search
      Is becoming less productive…
      1979
      Files & Folders
      Databases
      Amount of data
    • The Big Opportunity…
      The social graph just connects people
      The semantic graph connects everything
      People
      Emails
      Companies
      And it uses richer semantics to enable:
      • Better search
      • More targeted ads
      • Smarter collaboration
      • Deeper integration
      • Richer content
      • Better personalization
      Products
      Places
      Services
      Interests
      Web Pages
      Activities
      Documents
      Projects
      Multimedia
      Events
      Groups
    • The Third Decade of the Web
      The next generation: A period in time, not a technology…
      Enrich the structure of the Web with Semantics
      Transform the Web from fileserver to database
      Do for data what Web did for documents
      Make data easily accessible and searchable
    • A Higher Resolution Web
      IBM.com
      Web Site
      Joe
      Person
      IBM
      Company
      Lives in
      Palo Alto
      City
      Publisher of
      Fan of
      Lives in
      Subscriber to
      Employee of
      Sue
      Person
      Jane
      Person
      Dave.com
      RSS Feed
      Fan of
      Coldplay
      Band
      Friend of
      Member of
      Depiction of
      Design
      Team
      Group
      Married to
      Source of
      Member
      of
      123.JPG
      Photo
      Bob
      Person
      Dave.com
      Weblog
      Depiction of
      Member of
      Member of
      Dave
      Person
      Stanford
      Alumnae
      Group
      Author of
      Member of
    • The Web Is the Database!
      IBM.com
      Web Site
      Joe
      Person
      IBM
      Company
      Palo Alto
      City
      Lives in
      Publisher of
      Fan of
      Lives in
      Subscriber to
      Employee of
      Sue
      Person
      Jane
      Person
      Dave.com
      RSS Feed
      Coldplay
      Band
      Fan of
      Friend of
      Member of
      Design
      Team
      Group
      Depiction of
      Married to
      Source of
      123.JPG
      Photo
      Member
      of
      Bob
      Person
      Dave.com
      Weblog
      Depiction of
      Member of
      Dave
      Person
      Stanford
      Alumnae
      Group
      Member of
      Author of
      Member of
      Application A
      Application B
    • Smart Data
      Smart Data is data that carries whatever is needed to make use of it.
      Software can be thinner yet more general – loads in portable data and domain knowledge only when needed.
      The smarts moves into the data itself rather than being hard-coded into the software
    • Five Approaches to Semantics
    • The Tagging Approach
      Tagging
    • The Statistical Approach
      Statistics
    • The Linguistic Approach
      Linguistics
    • The Semantic Web Approach
      Semantic Web
    • The Artificial Intelligence Approach
      Artificial Intelligence
    • The Approaches Compared
      A.I.
      Semantic
      Web
      Make the Data Smarter
      Linguistics
      Tagging
      Statistics
      Make the software smarter
    • The Approaches Compared
      Wolfram Alpha
      DBpedia
      Freebase
      Siri
      Twine
      Flickr
      Make the Data Smarter
      Bing / Powerset
      Delicious
      Hakia
      FAST
      Yahoo
      Wikipedia
      Autonomy
      Google
      Make the software smarter
    • Two Paths to Adding Semantics
    • The Semantic Web is a Key Enabler
      Moves the “intelligence” out of applications, into the data
      Data becomes self-describing; Meaning of data becomes part of the data
      Data = Metadata.
      Just-in-time data
      Applications can pull the schema for data only when the data is needed, rather than having to anticipate it
    • The Semantic Web = Open database layer for the Web
    • The Growing Linked Data Universe
    • The Growing Semantic Web
      ONLINE SERVICES
      CONSUMERS
      DEVELOPERS
      APPLICATIONS
    • Future Outlook
    • Contact Information
      Nova Spivack
      Founder/CEO, Twine.com
      nova@twine.com
      Twitter.com/novaspivack