Web Evolution Nova Spivack Twine

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  • + annalam annalam 1 month ago
    can I download this presentation for my reserch at university?
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Web Evolution Nova Spivack Twine - Presentation Transcript

  1. Web
    Evolution
    Nova Spivack
    nova@twine.com
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. Five Approaches to Semantics
  10. The Tagging Approach
    Tagging
  11. The Statistical Approach
    Statistics
  12. The Linguistic Approach
    Linguistics
  13. The Semantic Web Approach
    Semantic Web
  14. The Artificial Intelligence Approach
    Artificial Intelligence
  15. The Approaches Compared
    A.I.
    Semantic
    Web
    Make the Data Smarter
    Linguistics
    Tagging
    Statistics
    Make the software smarter
  16. 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
  17. Two Paths to Adding Semantics
  18. 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
  19. The Semantic Web = Open database layer for the Web
  20. The Growing Linked Data Universe
  21. The Growing Semantic Web
    ONLINE SERVICES
    CONSUMERS
    DEVELOPERS
    APPLICATIONS
  22. Future Outlook
  23. Contact Information
    Nova Spivack
    Founder/CEO, Twine.com
    nova@twine.com
    Twitter.com/novaspivack

+ Nova SpivackNova Spivack, 2 months ago

 

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