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Semantic Web in
Practice
The Big Vision
Sir Tim Berners-Lee
The web of human-readable document is being
merged with a web of machine understandable data.
The potential of the mixture of humans and
machines working together and communication
through the web could be immense.
• The Web as a huge decentralised database
(knowledge base)
• Machine-accessible data
Web of Data as an upgrade of The Web of
Documents
A Web for Machines
Web of DataWeb of Documents
Data can be interconnected with typed links,
similarly as Web pages are connected with
hyperlinks
Paris
Europe
Country
Continent
France
capital of
is a
part of
is a
An Ambitious Roadmap
Cont
ent
Layer New York
Times Article
Youtube Page
Video on
Youtube
An Ambitious Roadmap
Article1
capital ofdate
Cont
ent
Layer
Data
Layer
New York
Times Article
Youtube Page
Video on
Youtube
24/03/2013
written by
Video1
about
showing
Rihanna
Paris
France
location
Thom
An Ambitious Roadmap
Article1
capital ofdate
Cont
ent
Layer
Data
Layer
New York
Times Article
Youtube Page
Video on
Youtube
24/03/2013
written by
Video1
about
showing
Rihanna
Paris
France
location
Provi
des
mach
ine-
reada
ble
Thom
An Ambitious Roadmap
Article1
capital ofdate
Cont
ent
Layer
Data
Layer
Ontol
ogy
Layer
New York
Times Article
Youtube Page
Video on
Youtube
24/03/2013
News Article
is a
written by
Video1
about
showing
Rihanna
Paris
France
location
Personwritten by
Thom
An Ambitious Roadmap
Article1
capital ofdate
Cont
ent
Layer
Data
Layer
Ontol
ogy
Layer
New York
Times Article
Youtube Page
Video on
Youtube
24/03/2013
News Article
is a
written by
Video1
about
showing
Rihanna
Paris
France
location
Personwritten by
Data
interpret
ationThom
An Ambitious Roadmap
Article1
capital ofdate
Cont
ent
Layer
Data
Layer
Ontol
ogy
Layer Thom
New York
Times Article
Youtube Page
Video on
Youtube
24/03/2013
News Article
is a
written by
Video1
about
showing
Rihanna
Paris
France
location
Personwritten by
Inferenc
e
is a
The time passed by
t
NowThe Academic Age of the Semantic
Web
Ontol
ogies
Description
LogicRules
RDF
OWL
2001
Linked
Data
Social
Semantic
Web
Sema
ntic
Open
Data
Sema
ntic
Marku
p
Knowl
edge
Graph
s
SW Now: Semantic Open Data
Linked
Open Data
Publishers: Governments,
Name things using URIs
Provide data over HTTP
Publish data using open structured data
standards
Link to data published by others
SW Now: Semantic Open Data
DBPedia
Semantic version of Wikipedia with rich data
about over 3.5M concepts of human
knowledge.
Open Source.
The core of the Web of data.
Paris
Europe
Country
Continent
France
capital of
is a
part of
is a
SW Now: Knowledge Graphs
Big players have their own
Knowledge GraphsGoogle Knowledge Graph
powers factual responses to
Web searches.
Wolfram Alpha, that powers
some of Siri searches, relies
on own curated data sources.
Facebook Open Graph combines concepts of
human knowledge and social data
SW Now: Semantic Markup
Provide metadata about things that
you want people to like. Facebook
integrates it in their Open Graph.
San Francisco
City
US
is a
is in
Facebo
ok Like
HTML 5
microda
ta
Provide metadata about your Web
pages and Google will index them
better.
Main
USES
Question
Answering
Semantic Search
Semantic
Recommender
SystemsSemantic Marketing
Question Answering
Siri
Semantic Search
Facebook
Graph
Search
San Francisco
City
is a
is in
US
Semantic Recommender Systems
Seevl uses data graphs to calculate artist
similarity and recommend music. It helps
users discover unknown artists that they
may like, and does it better then standard
collaborative-filtering systems.
Whitney Houston
Mariah Carey
When You Believe
Vocals
Aretha Franklin
Finding interesting paths in the graph
instead of statistical co-occurrence
Answer: , because Mary is buying
vegetables for her vegetarian lunch
Semantic Marketing
?
Answer: because Mary’s basket contains
same elements as Bob’s
Collaborative Filtering (data-mining)
Mary
Bob
Semantic Marketing
User shopping
baskets
Semantic Marketing helps
develop better
understanding of users
preferences and motivations
Sépage puts to use the years of research and experience
with using Semantic Graphs to produce Semantic Marketing
solutions for the future of the Web, making it more smart
and more adapted to growing users expectations.
Licence
Attribution - Partage dans
les Mêmes Conditions 3.0
France
Images
Internet – Yellow from the Noun Project
Document, The Noun project
Video, Dmitry Baranovskiy, The Noun Project
User, Lynn D. Christensen, The Noun Project
Lemon, Claudio Gomboli, The Noun Project
Carrot, Kate Vogel, Then Noun Project
Cucumber, Ashwini Sukhdeve, The Noun Project
Tomato, Okan Benn, The Noun Project
Pumpkin, Adam Mullin, The Noun Project
Thank
you
info@sepage.fr
+33 1 84 17 37 80
96 bis boulevard Raspail 75006 Paris
Fonts
Furore, Jovanny Lemonad
Jenna Sue, Jenna Sue Design
Colaborate-Light, Carrois Type Design
Gputeks, Gluk Fonts
Journal, Fontourist

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Semantic Web In Practice

  • 2. The Big Vision Sir Tim Berners-Lee The web of human-readable document is being merged with a web of machine understandable data. The potential of the mixture of humans and machines working together and communication through the web could be immense. • The Web as a huge decentralised database (knowledge base) • Machine-accessible data Web of Data as an upgrade of The Web of Documents
  • 3. A Web for Machines Web of DataWeb of Documents Data can be interconnected with typed links, similarly as Web pages are connected with hyperlinks Paris Europe Country Continent France capital of is a part of is a
  • 4. An Ambitious Roadmap Cont ent Layer New York Times Article Youtube Page Video on Youtube
  • 5. An Ambitious Roadmap Article1 capital ofdate Cont ent Layer Data Layer New York Times Article Youtube Page Video on Youtube 24/03/2013 written by Video1 about showing Rihanna Paris France location Thom
  • 6. An Ambitious Roadmap Article1 capital ofdate Cont ent Layer Data Layer New York Times Article Youtube Page Video on Youtube 24/03/2013 written by Video1 about showing Rihanna Paris France location Provi des mach ine- reada ble Thom
  • 7. An Ambitious Roadmap Article1 capital ofdate Cont ent Layer Data Layer Ontol ogy Layer New York Times Article Youtube Page Video on Youtube 24/03/2013 News Article is a written by Video1 about showing Rihanna Paris France location Personwritten by Thom
  • 8. An Ambitious Roadmap Article1 capital ofdate Cont ent Layer Data Layer Ontol ogy Layer New York Times Article Youtube Page Video on Youtube 24/03/2013 News Article is a written by Video1 about showing Rihanna Paris France location Personwritten by Data interpret ationThom
  • 9. An Ambitious Roadmap Article1 capital ofdate Cont ent Layer Data Layer Ontol ogy Layer Thom New York Times Article Youtube Page Video on Youtube 24/03/2013 News Article is a written by Video1 about showing Rihanna Paris France location Personwritten by Inferenc e is a
  • 10. The time passed by t NowThe Academic Age of the Semantic Web Ontol ogies Description LogicRules RDF OWL 2001 Linked Data Social Semantic Web Sema ntic Open Data Sema ntic Marku p Knowl edge Graph s
  • 11. SW Now: Semantic Open Data Linked Open Data Publishers: Governments, Name things using URIs Provide data over HTTP Publish data using open structured data standards Link to data published by others
  • 12. SW Now: Semantic Open Data DBPedia Semantic version of Wikipedia with rich data about over 3.5M concepts of human knowledge. Open Source. The core of the Web of data. Paris Europe Country Continent France capital of is a part of is a
  • 13. SW Now: Knowledge Graphs Big players have their own Knowledge GraphsGoogle Knowledge Graph powers factual responses to Web searches. Wolfram Alpha, that powers some of Siri searches, relies on own curated data sources. Facebook Open Graph combines concepts of human knowledge and social data
  • 14. SW Now: Semantic Markup Provide metadata about things that you want people to like. Facebook integrates it in their Open Graph. San Francisco City US is a is in Facebo ok Like HTML 5 microda ta Provide metadata about your Web pages and Google will index them better.
  • 18. Semantic Recommender Systems Seevl uses data graphs to calculate artist similarity and recommend music. It helps users discover unknown artists that they may like, and does it better then standard collaborative-filtering systems. Whitney Houston Mariah Carey When You Believe Vocals Aretha Franklin Finding interesting paths in the graph instead of statistical co-occurrence
  • 19. Answer: , because Mary is buying vegetables for her vegetarian lunch Semantic Marketing ? Answer: because Mary’s basket contains same elements as Bob’s Collaborative Filtering (data-mining) Mary Bob Semantic Marketing User shopping baskets Semantic Marketing helps develop better understanding of users preferences and motivations
  • 20. Sépage puts to use the years of research and experience with using Semantic Graphs to produce Semantic Marketing solutions for the future of the Web, making it more smart and more adapted to growing users expectations.
  • 21. Licence Attribution - Partage dans les Mêmes Conditions 3.0 France Images Internet – Yellow from the Noun Project Document, The Noun project Video, Dmitry Baranovskiy, The Noun Project User, Lynn D. Christensen, The Noun Project Lemon, Claudio Gomboli, The Noun Project Carrot, Kate Vogel, Then Noun Project Cucumber, Ashwini Sukhdeve, The Noun Project Tomato, Okan Benn, The Noun Project Pumpkin, Adam Mullin, The Noun Project Thank you info@sepage.fr +33 1 84 17 37 80 96 bis boulevard Raspail 75006 Paris Fonts Furore, Jovanny Lemonad Jenna Sue, Jenna Sue Design Colaborate-Light, Carrois Type Design Gputeks, Gluk Fonts Journal, Fontourist