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Leveraging	
  the	
  growth	
  of	
  the	
  Seman1c	
  
Web	
  -­‐	
  from	
  Seman1c	
  SEO	
  to	
  .....
San	
  Diego	
  Seman+c	
  Web	
  Meetup
Oct	
  25,	
  2010
Barbara Starr
Email: bstarr@Ontologica.us
Twitter: @BarbaraStarr
So	
  …	
  Let	
  us	
  begin	
  to	
  take	
  a	
  look	
  at	
  
how	
  the	
  Seman+c	
  Web	
  is	
  being	
  used	
  
and	
  leveraged	
  in	
  the	
  real	
  world	
  of	
  
late	
  (feel	
  free	
  to	
  add:	
  …..
And	
  of	
  course,	
  who	
  is	
  using	
  it	
  ,	
  how,	
  ........
Seman+c	
  Search/SEO	
  
The	
  major	
  Search	
  Engines	
  &	
  Social	
  
Networks	
  are	
  currently	
  leveraging	
  
Seman+c	
  Web	
  Technology
What	
  is	
  Seman+c	
  Search
• Semantic Search is basically the notion of improving search
by using metadata or searching on that metadata.
• There are several ways that the Search engines on the web
may use this to enhance search results.
– FIND, rather than SEARCH.
• Searching directly on the metadata directly can yield specific
answers or results as demonstrated in the following example:
Query
“Barack Obama Birthday”
Results on
Google	
  acquires	
  Metaweb
Defini+ve	
  Answer	
  on	
  Top
Bing
Definitive Answer
Note: Freebase part of Metaweb acquisition by Google
Definitive answer & enhanced display
Bing
leveraged	
  this	
  for	
  quite	
  some	
  +me
What	
  is	
  Seman+c	
  Search	
  (cont)
• Semantic Search is basically the notion of improving search
by using metadata or searching on that metadata.
• There are several ways that the Search engines on the web
may use this to enhance search results.
– FIND, rather than SEARCH.
• Searching directly on the metadata directly can yield specific
answers or results as demonstrated in the following example:
• Ran the query “Barack Obama Birthday” on both google, and
bing. Obtained the following:
– Answer	
  engines	
  rather	
  than	
  Search	
  Engines?
What	
  is	
  Seman+c	
  Search	
  (Cont)
• Semantic Search is basically the notion of improving search
by using metadata or searching on that metadata.
• There are several ways that the Search engines on the web
may use this to enhance search results.
– FIND, rather than SEARCH.
– Another aspect of using metadata such as embedding
metadata or semantic markup in web pages could be
demonstrated by enhanced displays in search
results (e.g. rich snippets	
  in	
  google).	
  	
  Both	
  Google	
  and	
  
Yahoo	
  support	
  enhanced	
  displays	
  for	
  RDFa	
  markup.	
  	
  
Rich	
  Snippets
• Google	
  now	
  supports	
  Rich	
  snippets	
  for
– People
– Events
– Businesses	
  and	
  organiza+ons
– Reviews
– Recipes
– Products	
  when	
  related	
  to	
  a	
  review
– Breadcrumbs
– Local	
  Search
h[p://rdf.data-­‐vocabulary.org/#
Events
14
Recipes
Sept	
  2,	
  2010
now	
  see	
  more	
  than	
  twice	
  as	
  many	
  searches	
  with	
  rich	
  snippets	
  in	
  the	
  results	
  in	
  the	
  US,	
  and	
  a	
  
four-­‐fold	
  increase	
  globally,	
  compared	
  to	
  one	
  year	
  ago.
Single	
  Events	
  –	
  Sept	
  2,	
  2010
Social	
  Networks
• While	
  search	
  engines	
  can	
  benefit	
  from	
  access	
  
to	
  social	
  networks,	
  social	
  networks	
  can	
  benefit	
  
from	
  seman+c	
  metadata	
  in	
  web	
  pages
–Example	
  is	
  Facebook’s	
  Open	
  Graph	
  Protocol	
  (also	
  
supports	
  RDFa)	
  which	
  allows	
  users	
  to	
  share	
  &	
  like	
  
objects	
  (such	
  as	
  products)	
  as	
  opposed	
  to	
  web	
  
pages.	
  Enables	
  “Seman+c	
  Profiling”	
  of	
  the	
  users	
  
by	
  facebook.	
  	
  (Japanese	
  MIXI	
  now	
  using	
  it)
Web	
  Benefits	
  /	
  Uses
• Yahoo stated 15% increase in CTR as a result of
enhanced displays, rich snippets in Google
• Definitive answers enabled by understanding and
leveraging how search engines are searching
directly on metadata
• Semantic Profiling and adoption by social networks
• Embedding semantic markup in web pages and
product pages ultimately makes information “findable”
by search engines, enabling them to provide
improvements such as definitive answers, enhanced
displays, etc
RDFa	
  produc+on
• Drupal	
  7	
  now	
  produces	
  RDFa	
  (previous	
  
meetup)
• Many	
  CMS	
  publishers
Consuming	
  RDFa
• Previously	
  indicated	
  increase	
  of	
  RDFa	
  in	
  
general	
  and	
  produc+on	
  of	
  RDFa
• Available	
  consumers/parsers
– Sindice	
  (any23)
– Rdfa	
  dis+ller
Sindice.com
Handy	
  Validators
• RDFA	
  VALIDATORS	
  AND	
  TESTERS
• New	
  RDFa	
  Validator:	
  h[p://check.rdfa.info/
• Sindice	
  Inspector:	
  h[p://inspector.sindice.com/
• Yahoo	
  Objeclinder:	
  h[p://
developer.search.yahoo.com/help/objeclinder
• Google	
  rich	
  snippets	
  tester:	
  h[p://
www.google.com/webmasters/tools/richsnippets
Adopters?
• UK	
  Government
• US	
  Government
• BBC	
  (FIFA	
  world	
  cup	
  site	
  dynamically	
  generated	
  using	
  linked	
  data)
• Thomson	
  Reuters
• Freebase
• NY	
  Times
• Best	
  Buy
• Google	
  (More	
  to	
  follow	
  h[p://rdf.data-­‐vocabulary.org/#)
• Yahoo
• Facebook
• Mixi
• Oracle
• Overstock
• Drug	
  research	
  and	
  discovery	
  companies,	
  pfizer,	
  ….
• Tons	
  more	
  –	
  Just	
  look	
  at	
  the	
  diversity	
  in	
  the	
  LOD	
  data	
  cloud	
  (genng	
  there)
Spectrum	
  of	
  Applica+ons
• Seman+c	
  Wiki’s	
  (Seman+c	
  media	
  Wiki)
• Seman+cs	
  as	
  a	
  Service	
  (e.g.	
  SIRI)	
  –	
  interoperability	
  of	
  web	
  
services,	
  underlying	
  service	
  Ontologies
• Enterprise	
  data	
  integra+on	
  (Anzo,
• Seman+cs	
  in	
  publishing
– Open	
  Calais	
  now	
  has	
  Openpublish
– Zemanta,	
  primal	
  pages
– Drupal	
  and	
  other	
  CMS	
  systems
• Contextual	
  Adver+sing
• Sen+ment	
  Analysis	
  (COGITO)
• Seman+c	
  Search	
  (documents	
  &	
  structured	
  data	
  sources)
• Seman+c	
  Social	
  Networks
LOD	
  Cloud	
  Evolu+on
The	
  rate	
  of	
  growth	
  has	
  been	
  
remarkable
Source	
  maintained	
  by:	
  Richard	
  Cygniak	
  and	
  Anja	
  Jentsch.	
  h[p://lod-­‐cloud.net
Oct	
  2007
Nov	
  2007	
  (1)
Nov	
  2007	
  (2)
Feb	
  2008
Mar	
  2008
Sept	
  2008
Mar	
  2009	
  (1)
Mar	
  2009	
  (2)
March	
  5	
  -­‐	
  2009
As of March 2009
LinkedCT
Reactome
Taxonomy
KEGG
PubMed
GeneID
Pfam
UniProt
OMIM
PDB
Symbol
ChEBI
Daily
Med
Disea-
some
CAS
HGNC
Inter
Pro
Drug
Bank
UniParc
UniRef
ProDom
PROSITE
Gene
Ontology
Homolo
Gene
Pub
Chem
MGI
UniSTS
GEO
Species
Jamendo
BBC
Programm
es
Music-
brainz
Magna-
tune
BBC
Later +
TOTP
Surge
Radio
MySpace
Wrapper
Audio-
Scrobbler
Linked
MDB
BBC
John
Peel
BBC
Playcount
Data
Gov-
Track
US
Census
Data
riese
Geo-
names
lingvoj
World
Fact-
book
Euro-
stat
IRIT
Toulouse
SW
Conference
Corpus
RDF Book
Mashup
Project
Guten-
berg
DBLP
Hannover
DBLP
Berlin
LAAS-
CNRS
Buda-
pest
BME
IEEE
IBM
Resex
Pisa
New-
castle
RAE
2001
CiteSeer
ACM
DBLP
RKB
Explorer
eprints
LIBRIS
Semantic
Web.org Eurécom
ECS
South-
ampton
RevyuSIOC
Sites
Doap-
space
Flickr
exporter
FOAF
profiles
flickr
wrappr
Crunch
Base
Sem-
Web-
Central
Open-
Guides
Wiki-
company
QDOS
Pub
Guide
Open
Calais
RDF
ohloh
W3C
WordNet
Open
Cyc
UMBEL
Yago
DBpedia
Freebase
Virtuoso
Sponger
March	
  27	
  -­‐	
  2009
As of March 2009
LinkedCT
Reactome
Taxonomy
KEGG
PubMed
GeneID
Pfam
UniProt
OMIM
PDB
Symbol
ChEBI
Daily
Med
Disea-
some
CAS
HGNC
Inter
Pro
Drug
Bank
UniParc
UniRef
ProDom
PROSITE
Gene
Ontology
Homolo
Gene
Pub
Chem
MGI
UniSTS
GEO
Species
Jamendo
BBC
Programm
es
Music-
brainz
Magna-
tune
BBC
Later +
TOTP
Surge
Radio
MySpace
Wrapper
Audio-
Scrobbler
Linked
MDB
BBC
John
Peel
BBC
Playcount
Data
Gov-
Track
US
Census
Data
riese
Geo-
names
lingvoj
World
Fact-
book
Euro-
stat
flickr
wrappr
Open
Calais
RevyuSIOC
Sites
Doap-
space
Flickr
exporter
FOAF
profiles
Crunch
Base
Sem-
Web-
Central
Open-
Guides
Wiki-
company
QDOS
Pub
Guide
RDF
ohloh
W3C
WordNet
Open
Cyc
UMBEL
Yago
DBpedia
Freebase
Virtuoso
Sponger
DBLP
Hannover
IRIT
Toulouse
SW
Conference
Corpus
RDF Book
Mashup
Project
Guten-
berg
DBLP
Berlin
LAAS-
CNRS
Buda-
pest
BME
IEEE
IBM
Resex
Pisa
New-
castle
RAE
2001
CiteSeer
ACM
DBLP
RKB
Explorer
eprints
LIBRIS
Semantic
Web.org
Eurécom
RKB
ECS
South-
ampton
CORDIS
ReSIST
Project
Wiki
National
Science
Foundation
ECS
South-
ampton
July	
  14	
  -­‐	
  	
  2009
Sept	
  22	
  -­‐	
  2010
As of September 2010
Music
Brainz
(zitgist)
P20
YAGO
World
Fact-
book
(FUB)
WordNet
(W3C)
WordNet
(VUA)
VIVO UF
VIVO
Indiana
VIVO
Cornell
VIAF
URI
Burner
Sussex
Reading
Lists
Plymouth
Reading
Lists
UMBEL
UK Post-
codes
legislation
.gov.uk
Uberblic
UB
Mann-
heim
TWC LOGD
Twarql
transport
data.gov
.uk
totl.net
Tele-
graphis
TCM
Gene
DIT
Taxon
Concept
The Open
Library
(Talis)
t4gm
Surge
Radio
STW
RAMEAU
SH
statistics
data.gov
.uk
St.
Andrews
Resource
Lists
ECS
South-
ampton
EPrints
Semantic
Crunch
Base
semantic
web.org
Semantic
XBRL
SW
Dog
Food
rdfabout
US SEC
Wiki
UN/
LOCODE
Ulm
ECS
(RKB
Explorer)
Roma
RISKS
RESEX
RAE2001
Pisa
OS
OAI
NSF
New-
castle
LAAS
KISTI
JISC
IRIT
IEEE
IBM
Eurécom
ERA
ePrints
dotAC
DEPLOY
DBLP
(RKB
Explorer)
Course-
ware
CORDIS
CiteSeer
Budapest
ACM
riese
Revyu
research
data.gov
.uk
reference
data.gov
.uk
Recht-
spraak.
nl
RDF
ohloh
Last.FM
(rdfize)
RDF
Book
Mashup
PSH
Product
DB
PBAC
Poké-
pédia
Ord-
nance
Survey
Openly
Local
The Open
Library
Open
Cyc
OpenCal
ais
OpenEI
New
York
Times
NTU
Resource
Lists
NDL
subjects
MARC
Codes
List
Man-
chester
Reading
Lists
Lotico
The
London
Gazette
LOIUS
lobid
Resources
lobid
Organi-
sations
Linked
MDB
Linked
LCCN
Linked
GeoData
Linked
CT
Linked
Open
Numbers
lingvoj
LIBRIS
Lexvo
LCSH
DBLP
(L3S)
Linked
Sensor Data
(Kno.e.sis)
Good-
win
Family
Jamendo
iServe
NSZL
Catalog
GovTrack
GESIS
Geo
Species
Geo
Names
Geo
Linked
Data
(es)
GTAA
STITCH
SIDER
Project
Guten-
berg
(FUB)
Medi
Care
Euro-
stat
(FUB)
Drug
Bank
Disea-
some
DBLP
(FU
Berlin)
Daily
Med
Freebase
flickr
wrappr
Fishes
of Texas
FanHubz
Event-
Media
EUTC
Produc-
tions
Eurostat
EUNIS
ESD
stan-
dards
Popula-
tion (En-
AKTing)
NHS
(EnAKTing)
Mortality
(En-
AKTing)
Energy
(En-
AKTing)
CO2
(En-
AKTing)
education
data.gov
.uk
ECS
South-
ampton
Gem.
Norm-
datei
data
dcs
MySpace
(DBTune)
Music
Brainz
(DBTune)
Magna-
tune
John
Peel
(DB
Tune)
classical
(DB
Tune)
Audio-
scrobbler
(DBTune)
Last.fm
Artists
(DBTune)
DB
Tropes
dbpedia
lite
DBpedia
Pokedex
Airports
NASA
(Data
Incu-
bator)
Music
Brainz
(Data
Incubator)
Moseley
Folk
Discogs
(Data In-
cubator)
Climbing
Linked Data
for Intervals
Cornetto
Chronic-
ling
America
Chem2
Bio2RDF
biz.
data.
gov.uk
UniSTS
UniRef
Uni
Path-
way
UniParc
Taxo-
nomy
UniProt
SGD
Reactome
PubMed
Pub
Chem
PRO-
SITE
ProDom
Pfam PDB
OMIM
OBO
MGI
KEGG
Reaction
KEGG
Pathway
KEGG
Glycan
KEGG
Enzyme
KEGG
Drug
KEGG
Cpd
InterPro
Homolo
Gene
HGNC
Gene
Ontology
GeneID
Gen
Bank
ChEBI
CAS
Affy-
metrix
BibBase
BBC
Wildlife
Finder
BBC
Program
mes
BBC
Music
rdfabout
US Census
LOD	
  cloud	
  –	
  Sept	
  22	
  2010
As of September 2010
Music
Brainz
(zitgist)
P20
YAGO
World
Fact-
book
(FUB)
WordNet
(W3C)
WordNet
(VUA)
VIVO UF
VIVO
Indiana
VIVO
Cornell
VIAF
URI
Burner
Sussex
Reading
Lists
Plymouth
Reading
Lists
UMBEL
UK Post-
codes
legislation
.gov.uk
Uberblic
UB
Mann-
heim
TWC LOGD
Twarql
transport
data.gov
.uk
totl.net
Tele-
graphis
TCM
Gene
DIT
Taxon
Concept
The Open
Library
(Talis)
t4gm
Surge
Radio
STW
RAMEAU
SH
statistics
data.gov
.uk
St.
Andrews
Resource
Lists
ECS
South-
ampton
EPrints
Semantic
Crunch
Base
semantic
web.org
Semantic
XBRL
SW
Dog
Food
rdfabout
US SEC
Wiki
UN/
LOCODE
Ulm
ECS
(RKB
Explorer)
Roma
RISKS
RESEX
RAE2001
Pisa
OS
OAI
NSF
New-
castle
LAAS
KISTI
JISC
IRIT
IEEE
IBM
Eurécom
ERA
ePrints
dotAC
DEPLOY
DBLP
(RKB
Explorer)
Course-
ware
CORDIS
CiteSeer
Budapest
ACM
riese
Revyu
research
data.gov
.uk
reference
data.gov
.uk
Recht-
spraak.
nl
RDF
ohloh
Last.FM
(rdfize)
RDF
Book
Mashup
PSH
Product
DB
PBAC
Poké-
pédia
Ord-
nance
Survey
Openly
Local
The Open
Library
Open
Cyc
Open
Calais
OpenEI
New
York
Times
NTU
Resource
Lists
NDL
subjects
MARC
Codes
List
Man-
chester
Reading
Lists
Lotico
The
London
Gazette
LOIUS
lobid
Resources
lobid
Organi-
sations
Linked
MDB
Linked
LCCN
Linked
GeoData
Linked
CT
Linked
Open
Numbers
lingvoj
LIBRIS
Lexvo
LCSH
DBLP
(L3S)
Linked
Sensor Data
(Kno.e.sis)
Good-
win
Family
Jamendo
iServe
NSZL
Catalog
GovTrack
GESIS
Geo
Species
Geo
Names
Geo
Linked
Data
(es)
GTAA
STITCH
SIDER
Project
Guten-
berg
(FUB)
Medi
Care
Euro-
stat
(FUB)
Drug
Bank
Disea-
some
DBLP
(FU
Berlin)
Daily
Med
Freebase
flickr
wrappr
Fishes
of Texas
FanHubz
Event-
Media
EUTC
Produc-
tions
Eurostat
EUNIS
ESD
stan-
dards
Popula-
tion (En-
AKTing)
NHS
(EnAKTing)
Mortality
(En-
AKTing)
Energy
(En-
AKTing)
CO2
(En-
AKTing)
education
data.gov
.uk
ECS
South-
ampton
Gem.
Norm-
datei
data
dcs
MySpace
(DBTune)
Music
Brainz
(DBTune)
Magna-
tune
John
Peel
(DB
Tune)
classical
(DB
Tune)
Audio-
scrobbler
(DBTune)
Last.fm
Artists
(DBTune)
DB
Tropes
dbpedia
lite
DBpedia
Pokedex
Airports
NASA
(Data
Incu-
bator)
Music
Brainz
(Data
Incubator)
Moseley
Folk
Discogs
(Data In-
cubator)
Climbing
Linked Data
for Intervals
Cornetto
Chronic-
ling
America
Chem2
Bio2RDF
biz.
data.
gov.uk
UniSTS
UniRef
Uni
Path-
way
UniParc
Taxo-
nomy
UniProt
SGD
Reactome
PubMed
Pub
Chem
PRO-
SITE
ProDom
Pfam PDB
OMIM
OBO
MGI
KEGG
Reaction
KEGG
Pathway
KEGG
Glycan
KEGG
Enzyme
KEGG
Drug
KEGG
Cpd
InterPro
Homolo
Gene
HGNC
Gene
Ontology
GeneID
Gen
Bank
ChEBI
CAS
Affy-
metrix
BibBase
BBC
Wildlife
Finder
BBC
Program
mes
BBC
Music
rdfabout
US Census
Media
Geographic
Publications
Government
Cross-domain
Life sciences
User-generated content
latest	
  LOD	
  cloud
Leveraging	
  Linked	
  Datasets	
  	
  
Pharmaceu+cal	
  example
• There	
  are	
  many	
  ways	
  to	
  leverage	
  exis+ng	
  
informa+on	
  and	
  to	
  perform	
  knowledge	
  
discovery	
  within	
  them.
• This	
  example	
  makes	
  use	
  of	
  the	
  allegrograph	
  
plalorm	
  and	
  query	
  interface	
  supported	
  by	
  
Franz	
  Inc,	
  A	
  web	
  3.0	
  database	
  provider.
• Allegrograph	
  can	
  be	
  downloaded	
  from	
  their	
  
website	
  at	
  	
  h[p://www.franz.com
Leveraging	
  Linked	
  Datasets	
  	
  
Pharmaceu+cal	
  example
• Facilitates	
  informa+on	
  sharing	
  between	
  
knowledge	
  bases	
  and	
  between	
  researchers
• The	
  graphical	
  viewers	
  and	
  browsers	
  provide	
  
by	
  Franz	
  enable	
  visualiza+on	
  of	
  rela+onships	
  
between	
  en++es	
  (GRUFF	
  displays	
  
rela+onships	
  between	
  en++es	
  as	
  well	
  as	
  
providing	
  a	
  query	
  interface)
Life	
  Sciences	
  Example	
  -­‐	
  Allegrograph
• Drugs from Drug Bank
• Looked them up in the text of the clinical trials
LinkedCT
• Looked up all side effects in SIDER and
looked them up in the texts in the clinical trials.
• Resulted in about a million new triples.
• Ability to now search for a drug, find all the
clinical trials that mention them and then also
find all the side effects also mentioned in the
same trials.
Life	
  Sciences	
  Example	
  -­‐	
  Allegrograph
Life	
  Sciences	
  Example	
  -­‐	
  Allegrograph
Namely, we took a look at information dealing
with:
- drugs
- targets
- diseases
- side-effects
And ran a query to find all clinical trials for
Atorvastatin where side effect of Atorvastatin
(or lipitor) is type 2 diabetes
Life	
  Sciences	
  Example	
  -­‐	
  Allegrograph
SPARQL query:
SELECT ?drug ?sideeffect ?trial WHERE {
?drug rdfs:label 'Atorvastatin' .
?sideeffect rdfs:label 'Type 2 Diabetes' .
?trial franz:discusses-drug ?drug .
?trial franz:discusses-side-effect ?sideeffect .
} limit 10
Translated	
  into	
  English,	
  the	
  SPARQL	
  query	
  reads:
	
  	
  	
  “find	
  every,	
  drug,	
  sideffect	
  and	
  clinical	
  trial	
  where	
  
the	
  label	
  of	
  the	
  drug	
  is	
  Atorvasta+n,	
  the	
  side	
  effect	
  
is	
  type	
  2	
  diabetes,	
  restrict	
  output	
  to	
  10	
  ”
Example	
  by:	
  (Jans	
  Aasman	
  –	
  Franz	
  Inc)
	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  Web	
  3.0’s	
  database
Life	
  Sciences	
  Example	
  -­‐	
  Allegrograph
Tools	
  for	
  more	
  profitable
	
  eCommerce
Online	
  Commerce
• BEST	
  BUY	
  and	
  other	
  retailers	
  are	
  using	
  
seman+c	
  technologies	
  to	
  improve	
  visibility	
  of	
  
of	
  products	
  and	
  services	
  leveraging:
– Goodrela+ons	
  Ontology	
  for	
  e-­‐Commerce
– RDFa
Other	
  major	
  online	
  retailers
	
  also	
  leveraging	
  the
	
  technology
h[p://www.overstock.com/Home-­‐Garden/Hotel-­‐8-­‐
piece-­‐Comforter-­‐Set/367226/product.html
Sindice	
  Inspector	
  -­‐	
  .nt	
  format
Gruff	
  View
Summary
• Significant	
  adop+on	
  in	
  many	
  arenas	
  and	
  by	
  many	
  
of	
  the	
  “major	
  players”
• Growing	
  number	
  of	
  Vendor’s	
  providing	
  services	
  
and	
  tools
• Many	
  open	
  source	
  tools	
  &	
  resources	
  (“RDFizers”,	
  
SPARQL	
  endpoints,	
  SINDICE	
  –	
  Seman+c	
  Web	
  index)
• Technology	
  mature	
  enough	
  at	
  this	
  point	
  to	
  provide	
  
compe++ve	
  advantage	
  in	
  many	
  arenas.

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Sd sem weboct252010

  • 1. Leveraging  the  growth  of  the  Seman1c   Web  -­‐  from  Seman1c  SEO  to  ..... San  Diego  Seman+c  Web  Meetup Oct  25,  2010 Barbara Starr Email: bstarr@Ontologica.us Twitter: @BarbaraStarr
  • 2. So  …  Let  us  begin  to  take  a  look  at   how  the  Seman+c  Web  is  being  used   and  leveraged  in  the  real  world  of   late  (feel  free  to  add:  ….. And  of  course,  who  is  using  it  ,  how,  ........
  • 3. Seman+c  Search/SEO   The  major  Search  Engines  &  Social   Networks  are  currently  leveraging   Seman+c  Web  Technology
  • 4. What  is  Seman+c  Search • Semantic Search is basically the notion of improving search by using metadata or searching on that metadata. • There are several ways that the Search engines on the web may use this to enhance search results. – FIND, rather than SEARCH. • Searching directly on the metadata directly can yield specific answers or results as demonstrated in the following example: Query “Barack Obama Birthday” Results on
  • 7. Bing Definitive Answer Note: Freebase part of Metaweb acquisition by Google
  • 8.
  • 9. Definitive answer & enhanced display Bing leveraged  this  for  quite  some  +me
  • 10. What  is  Seman+c  Search  (cont) • Semantic Search is basically the notion of improving search by using metadata or searching on that metadata. • There are several ways that the Search engines on the web may use this to enhance search results. – FIND, rather than SEARCH. • Searching directly on the metadata directly can yield specific answers or results as demonstrated in the following example: • Ran the query “Barack Obama Birthday” on both google, and bing. Obtained the following: – Answer  engines  rather  than  Search  Engines?
  • 11. What  is  Seman+c  Search  (Cont) • Semantic Search is basically the notion of improving search by using metadata or searching on that metadata. • There are several ways that the Search engines on the web may use this to enhance search results. – FIND, rather than SEARCH. – Another aspect of using metadata such as embedding metadata or semantic markup in web pages could be demonstrated by enhanced displays in search results (e.g. rich snippets  in  google).    Both  Google  and   Yahoo  support  enhanced  displays  for  RDFa  markup.    
  • 12. Rich  Snippets • Google  now  supports  Rich  snippets  for – People – Events – Businesses  and  organiza+ons – Reviews – Recipes – Products  when  related  to  a  review – Breadcrumbs – Local  Search h[p://rdf.data-­‐vocabulary.org/#
  • 15. Sept  2,  2010 now  see  more  than  twice  as  many  searches  with  rich  snippets  in  the  results  in  the  US,  and  a   four-­‐fold  increase  globally,  compared  to  one  year  ago.
  • 16. Single  Events  –  Sept  2,  2010
  • 17.
  • 18. Social  Networks • While  search  engines  can  benefit  from  access   to  social  networks,  social  networks  can  benefit   from  seman+c  metadata  in  web  pages –Example  is  Facebook’s  Open  Graph  Protocol  (also   supports  RDFa)  which  allows  users  to  share  &  like   objects  (such  as  products)  as  opposed  to  web   pages.  Enables  “Seman+c  Profiling”  of  the  users   by  facebook.    (Japanese  MIXI  now  using  it)
  • 19. Web  Benefits  /  Uses • Yahoo stated 15% increase in CTR as a result of enhanced displays, rich snippets in Google • Definitive answers enabled by understanding and leveraging how search engines are searching directly on metadata • Semantic Profiling and adoption by social networks • Embedding semantic markup in web pages and product pages ultimately makes information “findable” by search engines, enabling them to provide improvements such as definitive answers, enhanced displays, etc
  • 20. RDFa  produc+on • Drupal  7  now  produces  RDFa  (previous   meetup) • Many  CMS  publishers
  • 21. Consuming  RDFa • Previously  indicated  increase  of  RDFa  in   general  and  produc+on  of  RDFa • Available  consumers/parsers – Sindice  (any23) – Rdfa  dis+ller Sindice.com
  • 22. Handy  Validators • RDFA  VALIDATORS  AND  TESTERS • New  RDFa  Validator:  h[p://check.rdfa.info/ • Sindice  Inspector:  h[p://inspector.sindice.com/ • Yahoo  Objeclinder:  h[p:// developer.search.yahoo.com/help/objeclinder • Google  rich  snippets  tester:  h[p:// www.google.com/webmasters/tools/richsnippets
  • 23. Adopters? • UK  Government • US  Government • BBC  (FIFA  world  cup  site  dynamically  generated  using  linked  data) • Thomson  Reuters • Freebase • NY  Times • Best  Buy • Google  (More  to  follow  h[p://rdf.data-­‐vocabulary.org/#) • Yahoo • Facebook • Mixi • Oracle • Overstock • Drug  research  and  discovery  companies,  pfizer,  …. • Tons  more  –  Just  look  at  the  diversity  in  the  LOD  data  cloud  (genng  there)
  • 24. Spectrum  of  Applica+ons • Seman+c  Wiki’s  (Seman+c  media  Wiki) • Seman+cs  as  a  Service  (e.g.  SIRI)  –  interoperability  of  web   services,  underlying  service  Ontologies • Enterprise  data  integra+on  (Anzo, • Seman+cs  in  publishing – Open  Calais  now  has  Openpublish – Zemanta,  primal  pages – Drupal  and  other  CMS  systems • Contextual  Adver+sing • Sen+ment  Analysis  (COGITO) • Seman+c  Search  (documents  &  structured  data  sources) • Seman+c  Social  Networks
  • 25. LOD  Cloud  Evolu+on The  rate  of  growth  has  been   remarkable Source  maintained  by:  Richard  Cygniak  and  Anja  Jentsch.  h[p://lod-­‐cloud.net
  • 34. March  5  -­‐  2009 As of March 2009 LinkedCT Reactome Taxonomy KEGG PubMed GeneID Pfam UniProt OMIM PDB Symbol ChEBI Daily Med Disea- some CAS HGNC Inter Pro Drug Bank UniParc UniRef ProDom PROSITE Gene Ontology Homolo Gene Pub Chem MGI UniSTS GEO Species Jamendo BBC Programm es Music- brainz Magna- tune BBC Later + TOTP Surge Radio MySpace Wrapper Audio- Scrobbler Linked MDB BBC John Peel BBC Playcount Data Gov- Track US Census Data riese Geo- names lingvoj World Fact- book Euro- stat IRIT Toulouse SW Conference Corpus RDF Book Mashup Project Guten- berg DBLP Hannover DBLP Berlin LAAS- CNRS Buda- pest BME IEEE IBM Resex Pisa New- castle RAE 2001 CiteSeer ACM DBLP RKB Explorer eprints LIBRIS Semantic Web.org Eurécom ECS South- ampton RevyuSIOC Sites Doap- space Flickr exporter FOAF profiles flickr wrappr Crunch Base Sem- Web- Central Open- Guides Wiki- company QDOS Pub Guide Open Calais RDF ohloh W3C WordNet Open Cyc UMBEL Yago DBpedia Freebase Virtuoso Sponger
  • 35. March  27  -­‐  2009 As of March 2009 LinkedCT Reactome Taxonomy KEGG PubMed GeneID Pfam UniProt OMIM PDB Symbol ChEBI Daily Med Disea- some CAS HGNC Inter Pro Drug Bank UniParc UniRef ProDom PROSITE Gene Ontology Homolo Gene Pub Chem MGI UniSTS GEO Species Jamendo BBC Programm es Music- brainz Magna- tune BBC Later + TOTP Surge Radio MySpace Wrapper Audio- Scrobbler Linked MDB BBC John Peel BBC Playcount Data Gov- Track US Census Data riese Geo- names lingvoj World Fact- book Euro- stat flickr wrappr Open Calais RevyuSIOC Sites Doap- space Flickr exporter FOAF profiles Crunch Base Sem- Web- Central Open- Guides Wiki- company QDOS Pub Guide RDF ohloh W3C WordNet Open Cyc UMBEL Yago DBpedia Freebase Virtuoso Sponger DBLP Hannover IRIT Toulouse SW Conference Corpus RDF Book Mashup Project Guten- berg DBLP Berlin LAAS- CNRS Buda- pest BME IEEE IBM Resex Pisa New- castle RAE 2001 CiteSeer ACM DBLP RKB Explorer eprints LIBRIS Semantic Web.org Eurécom RKB ECS South- ampton CORDIS ReSIST Project Wiki National Science Foundation ECS South- ampton
  • 36. July  14  -­‐    2009
  • 37. Sept  22  -­‐  2010 As of September 2010 Music Brainz (zitgist) P20 YAGO World Fact- book (FUB) WordNet (W3C) WordNet (VUA) VIVO UF VIVO Indiana VIVO Cornell VIAF URI Burner Sussex Reading Lists Plymouth Reading Lists UMBEL UK Post- codes legislation .gov.uk Uberblic UB Mann- heim TWC LOGD Twarql transport data.gov .uk totl.net Tele- graphis TCM Gene DIT Taxon Concept The Open Library (Talis) t4gm Surge Radio STW RAMEAU SH statistics data.gov .uk St. Andrews Resource Lists ECS South- ampton EPrints Semantic Crunch Base semantic web.org Semantic XBRL SW Dog Food rdfabout US SEC Wiki UN/ LOCODE Ulm ECS (RKB Explorer) Roma RISKS RESEX RAE2001 Pisa OS OAI NSF New- castle LAAS KISTI JISC IRIT IEEE IBM Eurécom ERA ePrints dotAC DEPLOY DBLP (RKB Explorer) Course- ware CORDIS CiteSeer Budapest ACM riese Revyu research data.gov .uk reference data.gov .uk Recht- spraak. nl RDF ohloh Last.FM (rdfize) RDF Book Mashup PSH Product DB PBAC Poké- pédia Ord- nance Survey Openly Local The Open Library Open Cyc OpenCal ais OpenEI New York Times NTU Resource Lists NDL subjects MARC Codes List Man- chester Reading Lists Lotico The London Gazette LOIUS lobid Resources lobid Organi- sations Linked MDB Linked LCCN Linked GeoData Linked CT Linked Open Numbers lingvoj LIBRIS Lexvo LCSH DBLP (L3S) Linked Sensor Data (Kno.e.sis) Good- win Family Jamendo iServe NSZL Catalog GovTrack GESIS Geo Species Geo Names Geo Linked Data (es) GTAA STITCH SIDER Project Guten- berg (FUB) Medi Care Euro- stat (FUB) Drug Bank Disea- some DBLP (FU Berlin) Daily Med Freebase flickr wrappr Fishes of Texas FanHubz Event- Media EUTC Produc- tions Eurostat EUNIS ESD stan- dards Popula- tion (En- AKTing) NHS (EnAKTing) Mortality (En- AKTing) Energy (En- AKTing) CO2 (En- AKTing) education data.gov .uk ECS South- ampton Gem. Norm- datei data dcs MySpace (DBTune) Music Brainz (DBTune) Magna- tune John Peel (DB Tune) classical (DB Tune) Audio- scrobbler (DBTune) Last.fm Artists (DBTune) DB Tropes dbpedia lite DBpedia Pokedex Airports NASA (Data Incu- bator) Music Brainz (Data Incubator) Moseley Folk Discogs (Data In- cubator) Climbing Linked Data for Intervals Cornetto Chronic- ling America Chem2 Bio2RDF biz. data. gov.uk UniSTS UniRef Uni Path- way UniParc Taxo- nomy UniProt SGD Reactome PubMed Pub Chem PRO- SITE ProDom Pfam PDB OMIM OBO MGI KEGG Reaction KEGG Pathway KEGG Glycan KEGG Enzyme KEGG Drug KEGG Cpd InterPro Homolo Gene HGNC Gene Ontology GeneID Gen Bank ChEBI CAS Affy- metrix BibBase BBC Wildlife Finder BBC Program mes BBC Music rdfabout US Census
  • 38. LOD  cloud  –  Sept  22  2010 As of September 2010 Music Brainz (zitgist) P20 YAGO World Fact- book (FUB) WordNet (W3C) WordNet (VUA) VIVO UF VIVO Indiana VIVO Cornell VIAF URI Burner Sussex Reading Lists Plymouth Reading Lists UMBEL UK Post- codes legislation .gov.uk Uberblic UB Mann- heim TWC LOGD Twarql transport data.gov .uk totl.net Tele- graphis TCM Gene DIT Taxon Concept The Open Library (Talis) t4gm Surge Radio STW RAMEAU SH statistics data.gov .uk St. Andrews Resource Lists ECS South- ampton EPrints Semantic Crunch Base semantic web.org Semantic XBRL SW Dog Food rdfabout US SEC Wiki UN/ LOCODE Ulm ECS (RKB Explorer) Roma RISKS RESEX RAE2001 Pisa OS OAI NSF New- castle LAAS KISTI JISC IRIT IEEE IBM Eurécom ERA ePrints dotAC DEPLOY DBLP (RKB Explorer) Course- ware CORDIS CiteSeer Budapest ACM riese Revyu research data.gov .uk reference data.gov .uk Recht- spraak. nl RDF ohloh Last.FM (rdfize) RDF Book Mashup PSH Product DB PBAC Poké- pédia Ord- nance Survey Openly Local The Open Library Open Cyc Open Calais OpenEI New York Times NTU Resource Lists NDL subjects MARC Codes List Man- chester Reading Lists Lotico The London Gazette LOIUS lobid Resources lobid Organi- sations Linked MDB Linked LCCN Linked GeoData Linked CT Linked Open Numbers lingvoj LIBRIS Lexvo LCSH DBLP (L3S) Linked Sensor Data (Kno.e.sis) Good- win Family Jamendo iServe NSZL Catalog GovTrack GESIS Geo Species Geo Names Geo Linked Data (es) GTAA STITCH SIDER Project Guten- berg (FUB) Medi Care Euro- stat (FUB) Drug Bank Disea- some DBLP (FU Berlin) Daily Med Freebase flickr wrappr Fishes of Texas FanHubz Event- Media EUTC Produc- tions Eurostat EUNIS ESD stan- dards Popula- tion (En- AKTing) NHS (EnAKTing) Mortality (En- AKTing) Energy (En- AKTing) CO2 (En- AKTing) education data.gov .uk ECS South- ampton Gem. Norm- datei data dcs MySpace (DBTune) Music Brainz (DBTune) Magna- tune John Peel (DB Tune) classical (DB Tune) Audio- scrobbler (DBTune) Last.fm Artists (DBTune) DB Tropes dbpedia lite DBpedia Pokedex Airports NASA (Data Incu- bator) Music Brainz (Data Incubator) Moseley Folk Discogs (Data In- cubator) Climbing Linked Data for Intervals Cornetto Chronic- ling America Chem2 Bio2RDF biz. data. gov.uk UniSTS UniRef Uni Path- way UniParc Taxo- nomy UniProt SGD Reactome PubMed Pub Chem PRO- SITE ProDom Pfam PDB OMIM OBO MGI KEGG Reaction KEGG Pathway KEGG Glycan KEGG Enzyme KEGG Drug KEGG Cpd InterPro Homolo Gene HGNC Gene Ontology GeneID Gen Bank ChEBI CAS Affy- metrix BibBase BBC Wildlife Finder BBC Program mes BBC Music rdfabout US Census Media Geographic Publications Government Cross-domain Life sciences User-generated content latest  LOD  cloud
  • 39. Leveraging  Linked  Datasets     Pharmaceu+cal  example • There  are  many  ways  to  leverage  exis+ng   informa+on  and  to  perform  knowledge   discovery  within  them. • This  example  makes  use  of  the  allegrograph   plalorm  and  query  interface  supported  by   Franz  Inc,  A  web  3.0  database  provider. • Allegrograph  can  be  downloaded  from  their   website  at    h[p://www.franz.com
  • 40. Leveraging  Linked  Datasets     Pharmaceu+cal  example • Facilitates  informa+on  sharing  between   knowledge  bases  and  between  researchers • The  graphical  viewers  and  browsers  provide   by  Franz  enable  visualiza+on  of  rela+onships   between  en++es  (GRUFF  displays   rela+onships  between  en++es  as  well  as   providing  a  query  interface)
  • 41. Life  Sciences  Example  -­‐  Allegrograph • Drugs from Drug Bank • Looked them up in the text of the clinical trials LinkedCT • Looked up all side effects in SIDER and looked them up in the texts in the clinical trials. • Resulted in about a million new triples. • Ability to now search for a drug, find all the clinical trials that mention them and then also find all the side effects also mentioned in the same trials.
  • 42. Life  Sciences  Example  -­‐  Allegrograph
  • 43. Life  Sciences  Example  -­‐  Allegrograph Namely, we took a look at information dealing with: - drugs - targets - diseases - side-effects And ran a query to find all clinical trials for Atorvastatin where side effect of Atorvastatin (or lipitor) is type 2 diabetes
  • 44. Life  Sciences  Example  -­‐  Allegrograph SPARQL query: SELECT ?drug ?sideeffect ?trial WHERE { ?drug rdfs:label 'Atorvastatin' . ?sideeffect rdfs:label 'Type 2 Diabetes' . ?trial franz:discusses-drug ?drug . ?trial franz:discusses-side-effect ?sideeffect . } limit 10 Translated  into  English,  the  SPARQL  query  reads:      “find  every,  drug,  sideffect  and  clinical  trial  where   the  label  of  the  drug  is  Atorvasta+n,  the  side  effect   is  type  2  diabetes,  restrict  output  to  10  ” Example  by:  (Jans  Aasman  –  Franz  Inc)                                      Web  3.0’s  database
  • 45. Life  Sciences  Example  -­‐  Allegrograph
  • 46. Tools  for  more  profitable  eCommerce
  • 47. Online  Commerce • BEST  BUY  and  other  retailers  are  using   seman+c  technologies  to  improve  visibility  of   of  products  and  services  leveraging: – Goodrela+ons  Ontology  for  e-­‐Commerce – RDFa
  • 48.
  • 49. Other  major  online  retailers  also  leveraging  the  technology
  • 53. Summary • Significant  adop+on  in  many  arenas  and  by  many   of  the  “major  players” • Growing  number  of  Vendor’s  providing  services   and  tools • Many  open  source  tools  &  resources  (“RDFizers”,   SPARQL  endpoints,  SINDICE  –  Seman+c  Web  index) • Technology  mature  enough  at  this  point  to  provide   compe++ve  advantage  in  many  arenas.