A short introduction to Semantic Web - 2012
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Transcript of A short introduction to Semantic Web - 2012
A Basic Introduction to
Semantic Web
Hi! My name is Mike Darnell. I was born in 1974 My 1st job was modeling underwear & Roman toys
Is your website targeting and engaging prospects?
My partner is Virode Imtarnasan - Thai, 38 years old, married, studied law Career: EA, Sega, IRM…
Web: Cnngo, Vertu, Playboy…
What do we need in order to have a conversation?
Our ability to process language is dependent
on two elements:
Syntax…
…& Semantics
Semantics The study of
meaning, focused on the relation
between signifiers, such as words, and what
they stand for
Today’s web enables computers to
communicate using a common SYNTAX
The semantics needed for UNDERSTANDING are still handled by us HUMANS
“I dream of a web where
computers are capable of
analyzing ALL
the data“ Sir Tim Berners-Lee (1999)
On the Semantic Web data is interpreted by machines, allowing them to perform the work involved in finding,
combining, and acting upon information on the Internet
Semantic Web models are currently based either on
Explicit Meta Data or Implicit Deductions
regarding the content on the page
HTML with Schema.org microdata semantic
annotations
The Explicit Meta Data is the model supported by the W3C via it’s
Resource Description Framework (RDF) specifications:
Subject > Predicate > Object Thailand’s capital is Bangkok
Many sites allow triplet-like deductions
without requiring formal 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 require
human involvement
Searching SEMANTICALLY rather than SYNTACTICALLY
is particularly useful for:
Content in Context Answering questions
Best product, Ideal booking, etc.
A Star Trek sequel is a
serious ENTERPRISE
Freebase is: “An entity graph of people, places and things, built by a community
that loves open data.”
Lexxe
“Topic Pages” are popping up on publications everywhere
NYT
Semantic veteran Evri is moving from being a search engine…
…to a content aggregator and interest curator
Flipboard acquired Ellerdale to power it’s relevance and interest
True Knowledge
“…Over the next few months, Google will begin spitting out more 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 of our most basic needs
Thanks!
…I’m at [email protected] Mike