A short introduction to Semantic Web - 2012
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A short introduction to Semantic Web - 2012

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A short introduction to Semantic Web - 2012

A short introduction to Semantic Web - 2012

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A short introduction to Semantic Web - 2012 A short introduction to Semantic Web - 2012 Presentation Transcript

  • A Basic Introduction toSemantic Web
  • Introduction
  • Hi!My name isMike Darnell.I was born in 1974My 1st job wasmodeling underwear& Roman toys
  • My partner is Virode Imtarnasan - Thai, 38 years old, married, studied law Career: EA, Sega, IRM… Web: Cnngo, Vertu, Playboy…Is your websitetargeting and engaging prospects?
  • Where we dobusiness
  • The Fun Bit
  • What do we need in order to have a conversation?
  • Our ability to processlanguage is dependent on two elements:
  • Syntax…
  • …& Semantics
  • But what is“Semantics”?
  • Semantics The study ofmeaning, focused on the relation betweensignifiers, such aswords, and what they stand for
  • What is a“Semantic Web”?
  • Today’s web enables computers tocommunicate using a common SYNTAX
  • The semantics needed forUNDERSTANDING are still handled by us HUMANS
  • But this isn’t the plan…
  • “I dream of a web wherecomputers are capable ofanalyzing ALL the data“Sir Tim Berners-Lee (1999)
  • On the Semantic Web data isinterpreted by machines, allowing themto perform the work involved in finding, combining, and acting upon information on the Internet
  • How?
  • By moving from this
  • To this
  • Semantic Web models arecurrently based either on Explicit Meta Data or Implicit Deductions regarding the content on the page
  • Explicit Meta Data
  • “Regular” HTML
  • HTML with Schema.org microdata semantic annotations
  • The Explicit Meta Data is the model supported by the W3C via it’sResource Description Framework (RDF) specifications: Subject > Predicate > Object Thailand’s capital is Bangkok
  • Implicit Deductions
  • Many sites allow triplet-like deductionswithout requiringformal meta data annotations
  • Why do we want it?
  • A machine-friendly web = more free human time
  • A semantic web will empower us to understand context without resorting to “search”
  • It will empower computers to accomplish tasks and answer questions that currently requirehuman involvement
  • Searching SEMANTICALLY rather than SYNTACTICALLY is particularly useful for: Content in ContextAnswering questionsBest product, Ideal booking, etc.
  • Content in Context
  • A Star Trek sequel is a seriousENTERPRISE
  • But Which One?
  • Google isn’tvery helpful
  • Neither isWikipedia
  • But a little structureddata goes a long way…
  • As does somecontext
  • Servicesto check out
  • Search Engines
  • Freebase is:“An entity graph of people, places and things, built by a community that loves open data.”
  • Hakia
  • Sigma
  • Lexxe
  • Qwiki
  • Aggregating andcurating content
  • “Topic Pages” are popping up on publications everywhere
  • WSJ
  • Mashable
  • NYT
  • Reader apps
  • Semantic veteran Evri is moving from being a search engine…
  • …to a content aggregator and interest curator
  • Flipboard acquiredEllerdale to power it’srelevance and interest
  • Answering questions
  • Wolfram Alpha
  • True Knowledge
  • Assistants
  • Siri
  • Evi
  • What’s next?
  • Statistical Analysis NLP
  • “…Over the next few months,Google will begin spitting outmore facts and direct answers to queries at the top of the search-results page…” WSJ.com
  • Google’s Knowledge Graph = 200,000,000 entities (= ~10*Freebase)
  • The “Internet of Things” Your fridge knows you’re about to run out of milk Your toilet know you’re lactose intolerant Etc…
  • The Next Big Thing may be enabled by new Technology
  • But its success is dependent on its ability to match ofour most basic needs
  • Questions?
  • Thanks! …I’m at mi@vimi.co Mike