wordlift 2.0 presented on the semantic web meetup in rome
TRANSCRIPT
WORDLIFT 2.0
a World of Things
THINGS STRINGSNOT
by @cyberandy
WORDLIFT 2.0
in partnership with:
beta preview
USER
THING(REFERENT)
STRING(SYMBOL)
Resides in the mind of people,
NOT in STRINGS
Symbolic, information is stored in the
form of a code or symbol
Governed by rules -
understanding rules help us
understand one another
LANGUAGE
WHEN WE SEARCH MARIE CURIE...
SEARCH ENGINES UNDERSTAND...
KNOWLEDGE GRAPH
1. Language becomes less ambiguous
(FINDING)
2. Key facts are displayed along with the query
(KNOWING)
3. Inter-relationship among “Things” brings the
intelligence to the machine (UNDERSTANDING)
4. Reality unveils curiosities(DISCOVERING)
GOOGLEKNOWLEDGE GRAPH
•Includes today more then 500 million things
(~ 0.077 of people alive on earth)
• It’s made of data from Freebase, Wikipedia, the CIA World Factbook and data publicly available on
the Web•3.5 billion facts about
and in relationship with these 500 million entities
• It’s based on users’ search behaviors
WORDLIFT 2.0WHAT ABOUT
?
In a nutshell
• Knowledge comes from many sources
• Search engines are building their knowledge graphs using web crawling techniques
• We want to do it with the help of web editors providing:
• an open knowledge base
• an aggregated and consistent views of all entities
• an intuitive classification ontology
• a new way to browse the web of objects
Entity
Att
ribut
esCast information
from open repository
(DBPedia, Freebase)
cast information from Blogger A
cast information from Blogger B
Entity
Att
ribut
es
Cast informationfrom billion of web
pages
search engines - closed index
aemoo web - open knowledge base
Plot Summary
WORDLIFT 2.0
How a Content Intensive web sitecan benefit from a semantic driven UI
and a more structured content architecture
SupportingSchema.org
SocialMedia Ready(RSS/GEORSS/JSON)
Truly engaging
Company
Thing
Product
CreativeWork
Person
Event
Place
Mission Statement
• Empowering editors with new publishing tools and a federated platform for named entity sharing,
• Designing a suite of technologies to enable intuitive content discovery and recommendation using Semantic Web and the LOD Cloud,
• Providing new means of information consumption for multiple languages,
• Marketing web contents using “things”.
CREDITS
Amit Singhal, Engineer at Google - http://en.wikipedia.org/wiki/Amit_Singhal
Michael Bergman, Semantic Expert - http://www.mkbergman.com/about-mike/
this presentation is the result of many inspiring ideas and world-wide famous memes, here is the list:
any idea, graphics or meme belonging to us is available for sharing, copying and re-mixing under
creative commons license 3.0