SlideShare a Scribd company logo
1 of 65
Download to read offline
Linked Data and Tools 
Pedro Szekely 
USC/Information Sciences Institute 
pszekely@isi.edu, http://isi.edu/~szekely 
September 2014 
CC-By 2.0
Outline 
• Introduction to linked open data 
• RDF: the Resource Description Framework 
• Tools to convert data to RDF 
• Tools for linking/reconciliation/resolution 
• Storing and maintaining the data 
• Applications 
Pedro Szekely CC-By 2.0 2
Pedro Szekely 
Linked Open Data! 
CC-By 2.0 3
The Web of Documents 
Pedro Szekely CC-By 2.0 4
What We See 
Pedro Szekely CC-By 2.0 5
What the Computer Sees 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
blah 
Pedro Szekely CC-By 2.0 6
Problem 
web pages are machine processable, 
but not machine understandable 
impractical for building applications using the data 
Pedro Szekely CC-By 2.0 7
Solution 
publish the data as Linked Open Data 
Pedro Szekely CC-By 2.0 8
What Is Linked Data? 
A method of publishing structured data 
so that it can be interlinked 
and become more useful 
Builds upon standard Web technologies 
such as HTTP and URIs 
to share information 
in a way that can be read automatically by computers 
from Wikipedia 
Pedro Szekely CC-By 2.0 9
“Linked” Open Data 
Crystal Bridges 
Museum of 
American Art 
Dallas Museum 
of Art 
Indianapolis 
Museum 
of Art 
National Portrait 
Gallery 
The Metropolitan 
Museum of Art 
Smithsonian American 
Art Museum 
Pedro Szekely CC-By 2.0 10
“Linked” Open Data 
Crystal Bridges 
Museum of 
American Art 
Dallas Museum 
of Art 
… data is public! 
… in a common format! 
… but we only have islands of data! 
Indianapolis 
Museum 
of Art 
National Portrait 
Gallery 
The Metropolitan 
Museum of Art 
Smithsonian American 
Art Museum 
✔ 
✖ 
Pedro Szekely CC-By 2.0 11
Linked Open Data 
Pedro Szekely CC-By 2.0 12
Linked Data Principles 
• Use URIs as names for things 
• Use HTTP URIs so that people 
can look up those names 
• When someone looks up a URI, 
provide useful information, 
using the standards (RDF, 
SPARQL) 
• Include links to other URIs so 
that they can discover more 
things http://youtu.be/OM6XIICm_qo! 
http://www.w3.org/DesignIssues/LinkedData.html ! 
Pedro Szekely CC-By 2.0 13
Pedro Szekely 
Principle 1 
Use URIs as names for things 
Principle 2 
Use HTTP URIs so that people can look up those names 
CC-By 2.0 14
Can USC Have a URI? 
Pedro Szekely CC-By 2.0 15
http://dbpedia.org/resource/University_of_Southern_California 
Pedro Szekely CC-By 2.0 16
Can the Pythagoras Theorem Have a URI? 
Pedro Szekely CC-By 2.0 17
http://www.freebase.com/m/05r2j 
Pedro Szekely CC-By 2.0 18
My Dog: Can He Have a URI? 
Pedro Szekely CC-By 2.0 19
http://szekelys.com/diego 
Pedro Szekely CC-By 2.0 20
Pedro Szekely 
Principle 3 
When someone looks up a URI, provide 
useful information, using the standards 
(RDF*, SPARQL) 
CC-By 2.0 21
Pedro Szekely 
http://dbpedia.org/resource/University_of_Southern_California 
CC-By 2.0 22
Pedro Szekely 
http://www.freebase.com/m/05r2j 
CC-By 2.0 23
Pedro Szekely 
http://szekelys.com/diego 
Principle 3 
When someone looks up a URI, provide 
useful information, using the standards 
(RDF*, SPARQL) CC-By 2.0 24
Pedro Szekely 
Principle 4 
Include links to other URIs so that they 
can discover more things 
CC-By 2.0 25
http://szekelys.com/diego 
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> . 
@prefix dbpprop: <http://dbpedia.org/property/> . 
@prefix dbpedia: <http://dbpedia.org/resource/> . 
@prefix dbpedia-owl: <http://dbpedia.org/ontology/> . 
@prefix fb: <http://rdf.freebase.com/ns/> . 
http://szekelys.com/diego 
rdf:type “Dog” ; 
http://szekelys.com/name ”Diego" ; 
dbpedia-owl:species “Labrador Retriever” ; 
dbprop:country “Canada” ; 
dbprop:color “Yellow” ; 
fb:base.petbreeds.dog.gender “Male” . 
Linked Data?! Pedro Szekely CC-By 2.0 26
http://szekelys.com/diego 
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> . 
@prefix dbpprop: <http://dbpedia.org/property/> . 
@prefix dbpedia: <http://dbpedia.org/resource/> . 
@prefix dbpedia-owl: <http://dbpedia.org/ontology/> . 
@prefix fb: <http://rdf.freebase.com/ns/> . 
http://szekelys.com/diego 
rdf:type “Dog” ; 
http://szekelys.com/name ”Diego" ; 
dbpedia-owl:species “Labrador Retriever” ; 
dbprop:country “Canada” ; 
dbprop:color “Yellow” ; 
fb:base.petbreeds.dog.gender “Male” . 
Not Linked Data! Pedro Szekely CC-By 2.0 27
http://szekelys.com/diego 
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> . 
@prefix dbpprop: <http://dbpedia.org/property/> . 
@prefix dbpedia: <http://dbpedia.org/resource/> . 
@prefix dbpedia-owl: <http://dbpedia.org/ontology/> . 
@prefix fb: <http://rdf.freebase.com/ns/> . 
http://szekelys.com/diego 
rdf:type dbpedia:Dog; 
http://szekelys.com/name ”Diego" ; 
dbpedia-owl:species dbpedia:Labrador_Retriever ; 
dbprop:country dbpedia:Canada; 
dbprop:color dbpedia:Yellow; 
fb:base.petbreeds.dog.gender fb:en.male. 
Almost Linked Data! Pedro Szekely CC-By 2.0 28
http://szekelys.com/diego 
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> . 
@prefix dbpprop: <http://dbpedia.org/property/> . 
@prefix dbpedia: <http://dbpedia.org/resource/> . 
@prefix dbpedia-owl: <http://dbpedia.org/ontology/> . 
@prefix fb: <http://rdf.freebase.com/ns/> . 
http://szekelys.com/diego 
rdf:type dbpedia:Dog; 
http://szekelys.com/name ”Diego" ; 
dbpedia-owl:species dbpedia:Labrador_Retriever ; 
dbprop:country dbpedia:Canada; 
dbprop:color dbpedia:Yellow; 
fb:base.petbreeds.dog.gender fb:en.male. 
Almost Linked Data! Pedro Szekely CC-By 2.0 29
http://szekelys.com/diego 
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> . 
@prefix dbpprop: <http://dbpedia.org/property/> . 
@prefix dbpedia: <http://dbpedia.org/resource/> . 
@prefix dbpedia-owl: <http://dbpedia.org/ontology/> . 
@prefix fb: <http://rdf.freebase.com/ns/> . 
@prefix foaf: <http://xmlns.com/foaf/0.1/> . 
http://szekelys.com/diego 
foaf is a widely used ontology! 
rdf:type dbpedia:Dog; 
foaf:name ”Diego" ; 
dbpedia-owl:species dbpedia:Labrador_Retriever ; 
dbprop:country dbpedia:Canada; 
dbprop:color dbpedia:Yellow; 
fb:base.petbreeds.dog.gender fb:en.male. 
Linked Data! 
Pedro Szekely CC-By 2.0 30
Pedro Szekely 
RDF! 
CC-By 2.0 31
Resource Description Framework 
Intended for representing metadata about Web resources, 
such as the title, author, and modification date 
of a Web document 
… also be used to represent information about 
things that can be identified on the Web, 
even when they cannot be directly retrieved on the Web 
Pedro Szekely CC-By 2.0 32
Represent Resources Using URIs 
That guy has first name “Pedro” 
h&p://szekelys.com/family#pedro 
“Pedro” 
h&p://xmlns.com/foaf/0.1/firstName 
Pedro Szekely CC-By 2.0 33
Represent Information as Triples 
h&p://szekelys.com/family#pedro 
h&p://xmlns.com/foaf/0.1/firstName 
Subject! 
Predicate! 
“Pedro” 
The resource being described 
A property of the resource 
Object! The value of the property 
Pedro Szekely CC-By 2.0 34
Use Namespaces 
h&p://xmlns.com/foaf/0.1/firstName 
h&p://szekelys.com/family#pedro 
“Pedro” 
foaf:firstName 
h&p://szekelys.com/family#pedro 
“Pedro” 
Pedro Szekely CC-By 2.0 35
RDF Graphs 
h&p://szekelys.com/family#pedro 
“Pedro” 
foaf:firstName 
foaf:Person 
rdf:type 
foaf:homepage 
h&p://isi.edu/~szekely 
Pedro Szekely CC-By 2.0 36
RDF Graphs 
Real world objects! Kinds of things! 
h&p://szekelys.com/family#pedro 
“Pedro” 
foaf:firstName 
foaf:Person 
rdf:type 
foaf:homepage 
h&p://isi.edu/~szekely 
Literals! 
Properties of things! 
Pedro Szekely CC-By 2.0 37
Mix Vocabularies 
h&p://szekelys.com/family#pedro 
“Pedro” 
foaf:Person 
foaf:firstName 
rdf:type 
h&p://isi.edu/~szekely 
foaf:homepage 
schema:Person 
rdf:type 
schema:spouse 
h&p://szekelys.com/family#claudia 
Pedro Szekely CC-By 2.0 38
Linked Open Data 
Pedro Szekely CC-By 2.0 39
Tools to Convert Data 
Pedro Szekely 
to RDF! 
CC-By 2.0 40
Steps to Create Linked Open Data 
• Select ontologies 
… that define classes and properties for our data 
• Convert data to RDF 
… from the museum database to the ontologies 
• Identify links to other Linked Data datasets 
… to other museums and Link Data hubs 
Pedro Szekely CC-By 2.0 41
• Select ontologies 
… that define classes and properties for our data 
CIDOC CRM 
http://www.cidoc-crm.org/ 
Pedro Szekely CC-By 2.0 42
• Select ontologies 
… that define classes and properties for our data 
• Convert data to RDF 
… from the museum database to the ontologies 
Pedro SzPeekderlyo Szekely CC-By 2.0 43
RDF Mapping Tools 
Tool Shortcomings Benefits 
custom 
labor intensive, error 
flexible 
code 
prone 
R2RML difficult to learn, only 
for SQL databases 
W3C standard, good documentation, 
multiple vendors 
RDF 
Refine 
only for tabular data graphical user interface, support for 
reconciliation, open source 
Karma semi-automatic, graphical user 
interface, supports tabular data, XML 
and JSON, multiple export formats, 
R2RML compatible, open source 
Pedro Szekely CC-By 2.0 44
R2RML 
About 6,550 results! 
Pedro Szekely CC-By 2.0 45
R2RML Example 
:Table1 rdf:type rr:TriplesMap ; 
rr:logicalTable "Select ('<http:..isbn/' || ISBN || '>') AS isbn, 
Author, Title, Publisher, Year from book_table"; 
rr:subjectMap [ rdf:type rr:IRIMap ; rr:column "isbn" ] ; 
rr:propertyObjectMap [ rr:property a:title ; rr:column "Title" ; ] ; 
rr:propertyObjectMap [ rr:property a:year ; rr:column "Year" ; ] ; 
http://ivan-herman.name/2010/11/02/my-first-mapping-from-rdb-to-rdf-using-r2rml/! 
http://www.w3.org/TR/r2rml/! 
Pedro Szekely CC-By 2.0 46
RDF Refine 
Pedro Szekely http://refine.deri.ie/rdfExportDocs!CC-By 2.0 47
Karma 
https://github.com/InformationIntegrationGroup/Web-Karma! 
Pedro Szekely CC-By 2.0 48
Pedro Szekely 
Tools for Linking! 
CC-By 2.0 49
Multiple “John Singer Sargent” 
ima:SaamPerson_John_Singer_Sargent! 
a saam:SaamPerson ;! 
dct:date "1856-1925" ;! 
foaf:name "John Singer Sargent" .! 
cb:SaamPerson_John_Singer_Sargent! 
a saam:SaamPerson ;! 
ont0:dateOfBirth "1879", "1885" ;! 
ont0:dateOfDeath "1925" ;! 
skos:prefLabel "John Singer Sargent" .! 
saam:SaamPerson_4253! 
a saam:SaamPerson ;! 
saam:associatedPlace ! 
dallas:SaamPerson_John_Singer_Sargent! 
a saam:SaamPerson ;! 
ont0:dateOfBirth "1856" ;! 
ont0:dateOfDeath "1925" ;! 
foaf:name "John Singer Sargent" .! 
met:SaamPerson_John_Singer_Sargent! 
a saam:SaamPerson ;! 
ont0:placeOfResidence ! 
saam:SaamPlace_1357324439768t1r13950_0, ! 
saam:SaamPlace_1357324439768t1r13951_0 ;! 
saam:constituentId "4253" ;! 
rdaGr2:biographicalInformation ! 
“Painter. Sargent traveled …" ;! 
rdaGr2:dateAssociatedWithThePerson "1990-10-1”, "1995-5-8" ;! 
rdaGr2:dateOfBirth "1856-1-12" ;! 
rdaGr2:dateOfDeath "1925-4-15" ;! 
rdaGr2:placeOfBirth saam:SaamPlace_1357324439768t1r13952_0 ;! 
rdaGr2:placeOfDeath saam:SaamPlace_1357324439768t1r13953_0 ;! 
skos:altLabel "John S. Sargent" ;! 
skos:prefLabel "John Singer Sargent" .! 
"North and Central America", ! 
"United States" ;! 
foaf:name "John Singer Sargent" .! 
Pedro Szekely CC-By 2.0 50
ima:SaamPerson_John_Singer_Sargent! 
a saam:SaamPerson ;! 
dct:date "1856-1925" ;! 
foaf:name "John Singer Sargent" .! 
cb:SaamPerson_John_Singer_Sargent! 
a saam:SaamPerson ;! 
ont0:dateOfBirth "1879", "1885" ;! 
ont0:dateOfDeath "1925" ;! 
skos:prefLabel "John Singer Sargent" .! 
saam:SaamPerson_4253! 
a saam:SaamPerson ;! 
saam:associatedPlace ! 
dallas:SaamPerson_John_Singer_Sargent! 
a saam:SaamPerson ;! 
ont0:dateOfBirth "1856" ;! 
ont0:dateOfDeath "1925" ;! 
foaf:name "John Singer Sargent" .! 
met:SaamPerson_John_Singer_Sargent! 
a saam:SaamPerson ;! 
ont0:placeOfResidence ! 
saam:SaamPlace_1357324439768t1r13950_0, ! 
saam:SaamPlace_1357324439768t1r13951_0 ;! 
saam:constituentId "4253" ;! 
rdaGr2:biographicalInformation ! 
“Painter. Sargent traveled …" ;! 
rdaGr2:dateAssociatedWithThePerson "1990-10-1”, "1995-5-8" ;! 
rdaGr2:dateOfBirth "1856-1-12" ;! 
rdaGr2:dateOfDeath "1925-4-15" ;! 
rdaGr2:placeOfBirth saam:SaamPlace_1357324439768t1r13952_0 ;! 
rdaGr2:placeOfDeath saam:SaamPlace_1357324439768t1r13953_0 ;! 
skos:altLabel "John S. Sargent" ;! 
skos:prefLabel "John Singer Sargent" .! 
"North and Central America", ! 
"United States" ;! 
foaf:name "John Singer Sargent" .! 
Pedro 
Szekely 
John Singer Sargent 
Pedro Szekely CC-By 2.0 51
Linking “John Singer Sargent” 
saam:SaamPerson_4253! 
owl:sameAs cb:SaamPerson_John_Singer_Sargent ;! 
owl:sameAs dallas:SaamPerson_John_Singer_Sargent ;! 
owl:sameAs ima:SaamPerson_John_Singer_Sargent ;! 
owl:sameAs met:SaamPerson_John_Singer_Sargent ;! 
owl:sameAs dbpedia:John_Singer_Sargent ;! 
owl:sameAs nytimes/N49129220686803623753 ;! 
owl:sameAs w-flick/John_Singer_Sargent ;! 
...! 
.! 
Pedro Szekely CC-By 2.0 52 
Pedro 
Szekely
Linking/Reconciliation Tools 
Tool Shortcomings Benefits 
custom 
code 
very difficult tuned to the data 
SILK 
LIMES 
experimental, poor 
support 
work with RDF, efficient, relatively 
easy to use 
RDF 
Refine 
requires implementing 
a new reconciliation 
service 
integrated with RDF conversion, user 
interface for curation 
Karma under development 
Pedro Szekely CC-By 2.0 53
SILK 
http://wifo5-03.informatik.uni-mannheim.de/bizer/silk! 
Pedro Szekely CC-By 2.0 54
RDF Refine 
http://refine.deri.ie/reconciliationDocs! 
Pedro Szekely CC-By 2.0 55
Pedro Szekely 
Storing and 
Maintaining the Data! 
CC-By 2.0 56
Storage Options 
Technology Shortcomings Benefits 
SPARQL 
low reliability, esoteric, 
endpoint 
slow 
sophisticated query language 
RDF dump no query capability, 
esoteric 
flexibility: clients can 
download and use in 
applications, easy to publish 
JSON-LD + 
ElasticSearch 
restricted query language very high performance, 
mainstream technology, easy 
to publish 
Pedro Szekely CC-By 2.0 57
JSON-LD 
{ 
"@type": "http://www.cidoc-crm.org/cidoc-crm/E21_Person", 
"@id": "http://americanart.si.edu/data/person-institution/99”, 
“P1_is_identified_by": { 
"@type": "http://www.cidoc-crm.org/cidoc-crm/E82_Actor_Appellation", 
"@id": "http://americanart.si.edu/data/person-institution/99/appellation/Birth-or-Maiden-Name”, 
“label": " Walter Inglis Anderson”, 
“lastname": "Anderson", 
“firstname": "Walter Inglis” 
} 
} 
Pedro Szekely CC-By 2.0 58
Pedro Szekely CC-By 2.0 59
Pedro Szekely 
Applications! 
CC-By 2.0 60
we have expanded the reach of linked data within the BBC to more 
audience facing products and presented our ambitions to using linked 
data as glue for the plethora of content the BBC produces! 
! 
http://www.bbc.co.uk/blogs/internet/posts/Linked-Data-new-ontologies-website! 
http://www.bbc.co.uk/blogs/internet/posts/Linked-Data-Connecting-together-the-BBCs-Online-Content! 
Pedro Szekely CC-By 2.0 61 
http://www.bbc.co.uk/blogs/internet/posts/Opening-up-the-BBCs-Linked-Data!
Pedro Szekely CC-By 2.0 62
Pedro Szekely CC-By 2.0 63
Pedro Szekely CC-By 2.0 64
thanks for your attention! 
questions?!

More Related Content

What's hot

Social semantic web
Social semantic webSocial semantic web
Social semantic web
Vlad Posea
 
What is Linked Data, and What Does It Mean for Libraries?
What is Linked Data, and What Does It Mean for Libraries?What is Linked Data, and What Does It Mean for Libraries?
What is Linked Data, and What Does It Mean for Libraries?
Emily Nimsakont
 

What's hot (20)

American Arts Collaborative Grant Planning
American Arts Collaborative Grant PlanningAmerican Arts Collaborative Grant Planning
American Arts Collaborative Grant Planning
 
Social semantic web
Social semantic webSocial semantic web
Social semantic web
 
Linked (Open) Data
Linked (Open) DataLinked (Open) Data
Linked (Open) Data
 
Linked Data and Libraries: What? Why? How?
Linked Data and Libraries: What? Why? How?Linked Data and Libraries: What? Why? How?
Linked Data and Libraries: What? Why? How?
 
Expanding Machine-Readable Access Methods for Collections
Expanding Machine-Readable Access Methods for CollectionsExpanding Machine-Readable Access Methods for Collections
Expanding Machine-Readable Access Methods for Collections
 
The Importance of being LOUD
The Importance of being LOUDThe Importance of being LOUD
The Importance of being LOUD
 
Lecture: Ontologies and the Semantic Web
Lecture: Ontologies and the Semantic WebLecture: Ontologies and the Semantic Web
Lecture: Ontologies and the Semantic Web
 
Introduction to databases and metadata
Introduction to databases and metadataIntroduction to databases and metadata
Introduction to databases and metadata
 
Intro to Linked Open Data in Libraries Archives & Museums.
Intro to Linked Open Data in Libraries Archives & Museums.Intro to Linked Open Data in Libraries Archives & Museums.
Intro to Linked Open Data in Libraries Archives & Museums.
 
Introduction to digital scholarship tools
Introduction to digital scholarship toolsIntroduction to digital scholarship tools
Introduction to digital scholarship tools
 
Standards and Communities: Connected People, Consistent Data, Usable Applicat...
Standards and Communities: Connected People, Consistent Data, Usable Applicat...Standards and Communities: Connected People, Consistent Data, Usable Applicat...
Standards and Communities: Connected People, Consistent Data, Usable Applicat...
 
Intro to Linked Open Data in Libraries, Archives & Museums
Intro to Linked Open Data in Libraries, Archives & MuseumsIntro to Linked Open Data in Libraries, Archives & Museums
Intro to Linked Open Data in Libraries, Archives & Museums
 
Semantic Search with Semantic Web
Semantic Search with Semantic WebSemantic Search with Semantic Web
Semantic Search with Semantic Web
 
IIIF and Linked Data: A Cultural Heritage DAM Ecosystem
IIIF and Linked Data: A Cultural Heritage DAM EcosystemIIIF and Linked Data: A Cultural Heritage DAM Ecosystem
IIIF and Linked Data: A Cultural Heritage DAM Ecosystem
 
Linked Open Data in Romania
Linked Open Data in RomaniaLinked Open Data in Romania
Linked Open Data in Romania
 
What is Linked Data, and What Does It Mean for Libraries?
What is Linked Data, and What Does It Mean for Libraries?What is Linked Data, and What Does It Mean for Libraries?
What is Linked Data, and What Does It Mean for Libraries?
 
Web RDF
Web RDFWeb RDF
Web RDF
 
Linked data: what it means, why it matters. Karen Coyle
Linked data: what it means, why it matters. Karen CoyleLinked data: what it means, why it matters. Karen Coyle
Linked data: what it means, why it matters. Karen Coyle
 
Introducing linked data
Introducing linked dataIntroducing linked data
Introducing linked data
 
Research Data Services at the University of Utah
Research Data Services at the University of UtahResearch Data Services at the University of Utah
Research Data Services at the University of Utah
 

Similar to Linked Data and Tools

URI Disambiguation in the Context of Linked Data
URI Disambiguation in the Context of Linked DataURI Disambiguation in the Context of Linked Data
URI Disambiguation in the Context of Linked Data
butest
 
TPDL2013 tutorial linked data for digital libraries 2013-10-22
TPDL2013 tutorial linked data for digital libraries 2013-10-22TPDL2013 tutorial linked data for digital libraries 2013-10-22
TPDL2013 tutorial linked data for digital libraries 2013-10-22
jodischneider
 

Similar to Linked Data and Tools (20)

November 19, 2014 NISO Virtual Conference: Can't We All Work Together?: Inter...
November 19, 2014 NISO Virtual Conference: Can't We All Work Together?: Inter...November 19, 2014 NISO Virtual Conference: Can't We All Work Together?: Inter...
November 19, 2014 NISO Virtual Conference: Can't We All Work Together?: Inter...
 
Linked Data, Cultural Heritage & the Karma Mapping Software
Linked Data, Cultural Heritage & the Karma Mapping SoftwareLinked Data, Cultural Heritage & the Karma Mapping Software
Linked Data, Cultural Heritage & the Karma Mapping Software
 
Linked Data and Locah, UKSG2011
Linked Data and Locah, UKSG2011 Linked Data and Locah, UKSG2011
Linked Data and Locah, UKSG2011
 
Lifting the Lid on Linked Data
Lifting the Lid on Linked DataLifting the Lid on Linked Data
Lifting the Lid on Linked Data
 
URI Disambiguation in the Context of Linked Data
URI Disambiguation in the Context of Linked DataURI Disambiguation in the Context of Linked Data
URI Disambiguation in the Context of Linked Data
 
Linked Open Data for Archives
Linked Open Data for ArchivesLinked Open Data for Archives
Linked Open Data for Archives
 
Informal presentation about RES
Informal presentation about RESInformal presentation about RES
Informal presentation about RES
 
Linked Data and Discovery with Steve Meyer
Linked Data and Discovery with Steve MeyerLinked Data and Discovery with Steve Meyer
Linked Data and Discovery with Steve Meyer
 
SemWeb Fundamentals - Info Linking & Layering in Practice
SemWeb Fundamentals - Info Linking & Layering in PracticeSemWeb Fundamentals - Info Linking & Layering in Practice
SemWeb Fundamentals - Info Linking & Layering in Practice
 
Linked Data
Linked DataLinked Data
Linked Data
 
Webofdata
WebofdataWebofdata
Webofdata
 
20100614 ISWSA Keynote
20100614 ISWSA Keynote20100614 ISWSA Keynote
20100614 ISWSA Keynote
 
IFLA LIDASIG Open Session 2017: Introduction to Linked Data
IFLA LIDASIG Open Session 2017: Introduction to Linked DataIFLA LIDASIG Open Session 2017: Introduction to Linked Data
IFLA LIDASIG Open Session 2017: Introduction to Linked Data
 
TPDL2013 tutorial linked data for digital libraries 2013-10-22
TPDL2013 tutorial linked data for digital libraries 2013-10-22TPDL2013 tutorial linked data for digital libraries 2013-10-22
TPDL2013 tutorial linked data for digital libraries 2013-10-22
 
NISO/DCMI Webinar: Schema.org and Linked Data: Complementary Approaches to Pu...
NISO/DCMI Webinar: Schema.org and Linked Data: Complementary Approaches to Pu...NISO/DCMI Webinar: Schema.org and Linked Data: Complementary Approaches to Pu...
NISO/DCMI Webinar: Schema.org and Linked Data: Complementary Approaches to Pu...
 
Publishing and Using Linked Data
Publishing and Using Linked DataPublishing and Using Linked Data
Publishing and Using Linked Data
 
SPARQL1.1 Tutorial, given in UChile by Axel Polleres (DERI)
SPARQL1.1 Tutorial, given in UChile by Axel Polleres (DERI)SPARQL1.1 Tutorial, given in UChile by Axel Polleres (DERI)
SPARQL1.1 Tutorial, given in UChile by Axel Polleres (DERI)
 
Transmission6 - Publishing Linked Data
Transmission6 - Publishing Linked DataTransmission6 - Publishing Linked Data
Transmission6 - Publishing Linked Data
 
Linked Data Overview - AGI Technical SIG
Linked Data Overview - AGI Technical SIGLinked Data Overview - AGI Technical SIG
Linked Data Overview - AGI Technical SIG
 
WTF is Semantic Web?
WTF is Semantic Web?WTF is Semantic Web?
WTF is Semantic Web?
 

More from American Art Collaborative

More from American Art Collaborative (6)

The Provenance of Madame Bonnier: Museum Linked Data
The Provenance of Madame Bonnier: Museum Linked DataThe Provenance of Madame Bonnier: Museum Linked Data
The Provenance of Madame Bonnier: Museum Linked Data
 
IIIF and Mirador at the YCBA: image based scholarly collaboration and research
IIIF and Mirador at the YCBA: image based scholarly collaboration and researchIIIF and Mirador at the YCBA: image based scholarly collaboration and research
IIIF and Mirador at the YCBA: image based scholarly collaboration and research
 
Linked Open Data at SAAM: Past, Present, Future
Linked Open Data at SAAM: Past, Present, FutureLinked Open Data at SAAM: Past, Present, Future
Linked Open Data at SAAM: Past, Present, Future
 
American Art Collaborative: Perspectives and Considerations
American Art Collaborative: Perspectives and ConsiderationsAmerican Art Collaborative: Perspectives and Considerations
American Art Collaborative: Perspectives and Considerations
 
Getty Vocabularies and LOD Conversion
Getty Vocabularies and LOD ConversionGetty Vocabularies and LOD Conversion
Getty Vocabularies and LOD Conversion
 
The CIDOC CRM Family and LOD
The CIDOC CRM Family and LODThe CIDOC CRM Family and LOD
The CIDOC CRM Family and LOD
 

Recently uploaded

Harnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptx
Harnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptxHarnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptx
Harnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptx
FIDO Alliance
 
Hyatt driving innovation and exceptional customer experiences with FIDO passw...
Hyatt driving innovation and exceptional customer experiences with FIDO passw...Hyatt driving innovation and exceptional customer experiences with FIDO passw...
Hyatt driving innovation and exceptional customer experiences with FIDO passw...
FIDO Alliance
 
Tales from a Passkey Provider Progress from Awareness to Implementation.pptx
Tales from a Passkey Provider  Progress from Awareness to Implementation.pptxTales from a Passkey Provider  Progress from Awareness to Implementation.pptx
Tales from a Passkey Provider Progress from Awareness to Implementation.pptx
FIDO Alliance
 
Easier, Faster, and More Powerful – Alles Neu macht der Mai -Wir durchleuchte...
Easier, Faster, and More Powerful – Alles Neu macht der Mai -Wir durchleuchte...Easier, Faster, and More Powerful – Alles Neu macht der Mai -Wir durchleuchte...
Easier, Faster, and More Powerful – Alles Neu macht der Mai -Wir durchleuchte...
panagenda
 

Recently uploaded (20)

Design and Development of a Provenance Capture Platform for Data Science
Design and Development of a Provenance Capture Platform for Data ScienceDesign and Development of a Provenance Capture Platform for Data Science
Design and Development of a Provenance Capture Platform for Data Science
 
WebAssembly is Key to Better LLM Performance
WebAssembly is Key to Better LLM PerformanceWebAssembly is Key to Better LLM Performance
WebAssembly is Key to Better LLM Performance
 
Vector Search @ sw2con for slideshare.pptx
Vector Search @ sw2con for slideshare.pptxVector Search @ sw2con for slideshare.pptx
Vector Search @ sw2con for slideshare.pptx
 
Working together SRE & Platform Engineering
Working together SRE & Platform EngineeringWorking together SRE & Platform Engineering
Working together SRE & Platform Engineering
 
Harnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptx
Harnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptxHarnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptx
Harnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptx
 
Cyber Insurance - RalphGilot - Embry-Riddle Aeronautical University.pptx
Cyber Insurance - RalphGilot - Embry-Riddle Aeronautical University.pptxCyber Insurance - RalphGilot - Embry-Riddle Aeronautical University.pptx
Cyber Insurance - RalphGilot - Embry-Riddle Aeronautical University.pptx
 
Overview of Hyperledger Foundation
Overview of Hyperledger FoundationOverview of Hyperledger Foundation
Overview of Hyperledger Foundation
 
Event-Driven Architecture Masterclass: Engineering a Robust, High-performance...
Event-Driven Architecture Masterclass: Engineering a Robust, High-performance...Event-Driven Architecture Masterclass: Engineering a Robust, High-performance...
Event-Driven Architecture Masterclass: Engineering a Robust, High-performance...
 
Portal Kombat : extension du réseau de propagande russe
Portal Kombat : extension du réseau de propagande russePortal Kombat : extension du réseau de propagande russe
Portal Kombat : extension du réseau de propagande russe
 
Human Expert Website Manual WCAG 2.0 2.1 2.2 Audit - Digital Accessibility Au...
Human Expert Website Manual WCAG 2.0 2.1 2.2 Audit - Digital Accessibility Au...Human Expert Website Manual WCAG 2.0 2.1 2.2 Audit - Digital Accessibility Au...
Human Expert Website Manual WCAG 2.0 2.1 2.2 Audit - Digital Accessibility Au...
 
Continuing Bonds Through AI: A Hermeneutic Reflection on Thanabots
Continuing Bonds Through AI: A Hermeneutic Reflection on ThanabotsContinuing Bonds Through AI: A Hermeneutic Reflection on Thanabots
Continuing Bonds Through AI: A Hermeneutic Reflection on Thanabots
 
Hyatt driving innovation and exceptional customer experiences with FIDO passw...
Hyatt driving innovation and exceptional customer experiences with FIDO passw...Hyatt driving innovation and exceptional customer experiences with FIDO passw...
Hyatt driving innovation and exceptional customer experiences with FIDO passw...
 
Tales from a Passkey Provider Progress from Awareness to Implementation.pptx
Tales from a Passkey Provider  Progress from Awareness to Implementation.pptxTales from a Passkey Provider  Progress from Awareness to Implementation.pptx
Tales from a Passkey Provider Progress from Awareness to Implementation.pptx
 
Event-Driven Architecture Masterclass: Integrating Distributed Data Stores Ac...
Event-Driven Architecture Masterclass: Integrating Distributed Data Stores Ac...Event-Driven Architecture Masterclass: Integrating Distributed Data Stores Ac...
Event-Driven Architecture Masterclass: Integrating Distributed Data Stores Ac...
 
Oauth 2.0 Introduction and Flows with MuleSoft
Oauth 2.0 Introduction and Flows with MuleSoftOauth 2.0 Introduction and Flows with MuleSoft
Oauth 2.0 Introduction and Flows with MuleSoft
 
The Zero-ETL Approach: Enhancing Data Agility and Insight
The Zero-ETL Approach: Enhancing Data Agility and InsightThe Zero-ETL Approach: Enhancing Data Agility and Insight
The Zero-ETL Approach: Enhancing Data Agility and Insight
 
JavaScript Usage Statistics 2024 - The Ultimate Guide
JavaScript Usage Statistics 2024 - The Ultimate GuideJavaScript Usage Statistics 2024 - The Ultimate Guide
JavaScript Usage Statistics 2024 - The Ultimate Guide
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
 
AI mind or machine power point presentation
AI mind or machine power point presentationAI mind or machine power point presentation
AI mind or machine power point presentation
 
Easier, Faster, and More Powerful – Alles Neu macht der Mai -Wir durchleuchte...
Easier, Faster, and More Powerful – Alles Neu macht der Mai -Wir durchleuchte...Easier, Faster, and More Powerful – Alles Neu macht der Mai -Wir durchleuchte...
Easier, Faster, and More Powerful – Alles Neu macht der Mai -Wir durchleuchte...
 

Linked Data and Tools

  • 1. Linked Data and Tools Pedro Szekely USC/Information Sciences Institute pszekely@isi.edu, http://isi.edu/~szekely September 2014 CC-By 2.0
  • 2. Outline • Introduction to linked open data • RDF: the Resource Description Framework • Tools to convert data to RDF • Tools for linking/reconciliation/resolution • Storing and maintaining the data • Applications Pedro Szekely CC-By 2.0 2
  • 3. Pedro Szekely Linked Open Data! CC-By 2.0 3
  • 4. The Web of Documents Pedro Szekely CC-By 2.0 4
  • 5. What We See Pedro Szekely CC-By 2.0 5
  • 6. What the Computer Sees blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah Pedro Szekely CC-By 2.0 6
  • 7. Problem web pages are machine processable, but not machine understandable impractical for building applications using the data Pedro Szekely CC-By 2.0 7
  • 8. Solution publish the data as Linked Open Data Pedro Szekely CC-By 2.0 8
  • 9. What Is Linked Data? A method of publishing structured data so that it can be interlinked and become more useful Builds upon standard Web technologies such as HTTP and URIs to share information in a way that can be read automatically by computers from Wikipedia Pedro Szekely CC-By 2.0 9
  • 10. “Linked” Open Data Crystal Bridges Museum of American Art Dallas Museum of Art Indianapolis Museum of Art National Portrait Gallery The Metropolitan Museum of Art Smithsonian American Art Museum Pedro Szekely CC-By 2.0 10
  • 11. “Linked” Open Data Crystal Bridges Museum of American Art Dallas Museum of Art … data is public! … in a common format! … but we only have islands of data! Indianapolis Museum of Art National Portrait Gallery The Metropolitan Museum of Art Smithsonian American Art Museum ✔ ✖ Pedro Szekely CC-By 2.0 11
  • 12. Linked Open Data Pedro Szekely CC-By 2.0 12
  • 13. Linked Data Principles • Use URIs as names for things • Use HTTP URIs so that people can look up those names • When someone looks up a URI, provide useful information, using the standards (RDF, SPARQL) • Include links to other URIs so that they can discover more things http://youtu.be/OM6XIICm_qo! http://www.w3.org/DesignIssues/LinkedData.html ! Pedro Szekely CC-By 2.0 13
  • 14. Pedro Szekely Principle 1 Use URIs as names for things Principle 2 Use HTTP URIs so that people can look up those names CC-By 2.0 14
  • 15. Can USC Have a URI? Pedro Szekely CC-By 2.0 15
  • 17. Can the Pythagoras Theorem Have a URI? Pedro Szekely CC-By 2.0 17
  • 19. My Dog: Can He Have a URI? Pedro Szekely CC-By 2.0 19
  • 21. Pedro Szekely Principle 3 When someone looks up a URI, provide useful information, using the standards (RDF*, SPARQL) CC-By 2.0 21
  • 24. Pedro Szekely http://szekelys.com/diego Principle 3 When someone looks up a URI, provide useful information, using the standards (RDF*, SPARQL) CC-By 2.0 24
  • 25. Pedro Szekely Principle 4 Include links to other URIs so that they can discover more things CC-By 2.0 25
  • 26. http://szekelys.com/diego @prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> . @prefix dbpprop: <http://dbpedia.org/property/> . @prefix dbpedia: <http://dbpedia.org/resource/> . @prefix dbpedia-owl: <http://dbpedia.org/ontology/> . @prefix fb: <http://rdf.freebase.com/ns/> . http://szekelys.com/diego rdf:type “Dog” ; http://szekelys.com/name ”Diego" ; dbpedia-owl:species “Labrador Retriever” ; dbprop:country “Canada” ; dbprop:color “Yellow” ; fb:base.petbreeds.dog.gender “Male” . Linked Data?! Pedro Szekely CC-By 2.0 26
  • 27. http://szekelys.com/diego @prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> . @prefix dbpprop: <http://dbpedia.org/property/> . @prefix dbpedia: <http://dbpedia.org/resource/> . @prefix dbpedia-owl: <http://dbpedia.org/ontology/> . @prefix fb: <http://rdf.freebase.com/ns/> . http://szekelys.com/diego rdf:type “Dog” ; http://szekelys.com/name ”Diego" ; dbpedia-owl:species “Labrador Retriever” ; dbprop:country “Canada” ; dbprop:color “Yellow” ; fb:base.petbreeds.dog.gender “Male” . Not Linked Data! Pedro Szekely CC-By 2.0 27
  • 28. http://szekelys.com/diego @prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> . @prefix dbpprop: <http://dbpedia.org/property/> . @prefix dbpedia: <http://dbpedia.org/resource/> . @prefix dbpedia-owl: <http://dbpedia.org/ontology/> . @prefix fb: <http://rdf.freebase.com/ns/> . http://szekelys.com/diego rdf:type dbpedia:Dog; http://szekelys.com/name ”Diego" ; dbpedia-owl:species dbpedia:Labrador_Retriever ; dbprop:country dbpedia:Canada; dbprop:color dbpedia:Yellow; fb:base.petbreeds.dog.gender fb:en.male. Almost Linked Data! Pedro Szekely CC-By 2.0 28
  • 29. http://szekelys.com/diego @prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> . @prefix dbpprop: <http://dbpedia.org/property/> . @prefix dbpedia: <http://dbpedia.org/resource/> . @prefix dbpedia-owl: <http://dbpedia.org/ontology/> . @prefix fb: <http://rdf.freebase.com/ns/> . http://szekelys.com/diego rdf:type dbpedia:Dog; http://szekelys.com/name ”Diego" ; dbpedia-owl:species dbpedia:Labrador_Retriever ; dbprop:country dbpedia:Canada; dbprop:color dbpedia:Yellow; fb:base.petbreeds.dog.gender fb:en.male. Almost Linked Data! Pedro Szekely CC-By 2.0 29
  • 30. http://szekelys.com/diego @prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> . @prefix dbpprop: <http://dbpedia.org/property/> . @prefix dbpedia: <http://dbpedia.org/resource/> . @prefix dbpedia-owl: <http://dbpedia.org/ontology/> . @prefix fb: <http://rdf.freebase.com/ns/> . @prefix foaf: <http://xmlns.com/foaf/0.1/> . http://szekelys.com/diego foaf is a widely used ontology! rdf:type dbpedia:Dog; foaf:name ”Diego" ; dbpedia-owl:species dbpedia:Labrador_Retriever ; dbprop:country dbpedia:Canada; dbprop:color dbpedia:Yellow; fb:base.petbreeds.dog.gender fb:en.male. Linked Data! Pedro Szekely CC-By 2.0 30
  • 31. Pedro Szekely RDF! CC-By 2.0 31
  • 32. Resource Description Framework Intended for representing metadata about Web resources, such as the title, author, and modification date of a Web document … also be used to represent information about things that can be identified on the Web, even when they cannot be directly retrieved on the Web Pedro Szekely CC-By 2.0 32
  • 33. Represent Resources Using URIs That guy has first name “Pedro” h&p://szekelys.com/family#pedro “Pedro” h&p://xmlns.com/foaf/0.1/firstName Pedro Szekely CC-By 2.0 33
  • 34. Represent Information as Triples h&p://szekelys.com/family#pedro h&p://xmlns.com/foaf/0.1/firstName Subject! Predicate! “Pedro” The resource being described A property of the resource Object! The value of the property Pedro Szekely CC-By 2.0 34
  • 35. Use Namespaces h&p://xmlns.com/foaf/0.1/firstName h&p://szekelys.com/family#pedro “Pedro” foaf:firstName h&p://szekelys.com/family#pedro “Pedro” Pedro Szekely CC-By 2.0 35
  • 36. RDF Graphs h&p://szekelys.com/family#pedro “Pedro” foaf:firstName foaf:Person rdf:type foaf:homepage h&p://isi.edu/~szekely Pedro Szekely CC-By 2.0 36
  • 37. RDF Graphs Real world objects! Kinds of things! h&p://szekelys.com/family#pedro “Pedro” foaf:firstName foaf:Person rdf:type foaf:homepage h&p://isi.edu/~szekely Literals! Properties of things! Pedro Szekely CC-By 2.0 37
  • 38. Mix Vocabularies h&p://szekelys.com/family#pedro “Pedro” foaf:Person foaf:firstName rdf:type h&p://isi.edu/~szekely foaf:homepage schema:Person rdf:type schema:spouse h&p://szekelys.com/family#claudia Pedro Szekely CC-By 2.0 38
  • 39. Linked Open Data Pedro Szekely CC-By 2.0 39
  • 40. Tools to Convert Data Pedro Szekely to RDF! CC-By 2.0 40
  • 41. Steps to Create Linked Open Data • Select ontologies … that define classes and properties for our data • Convert data to RDF … from the museum database to the ontologies • Identify links to other Linked Data datasets … to other museums and Link Data hubs Pedro Szekely CC-By 2.0 41
  • 42. • Select ontologies … that define classes and properties for our data CIDOC CRM http://www.cidoc-crm.org/ Pedro Szekely CC-By 2.0 42
  • 43. • Select ontologies … that define classes and properties for our data • Convert data to RDF … from the museum database to the ontologies Pedro SzPeekderlyo Szekely CC-By 2.0 43
  • 44. RDF Mapping Tools Tool Shortcomings Benefits custom labor intensive, error flexible code prone R2RML difficult to learn, only for SQL databases W3C standard, good documentation, multiple vendors RDF Refine only for tabular data graphical user interface, support for reconciliation, open source Karma semi-automatic, graphical user interface, supports tabular data, XML and JSON, multiple export formats, R2RML compatible, open source Pedro Szekely CC-By 2.0 44
  • 45. R2RML About 6,550 results! Pedro Szekely CC-By 2.0 45
  • 46. R2RML Example :Table1 rdf:type rr:TriplesMap ; rr:logicalTable "Select ('<http:..isbn/' || ISBN || '>') AS isbn, Author, Title, Publisher, Year from book_table"; rr:subjectMap [ rdf:type rr:IRIMap ; rr:column "isbn" ] ; rr:propertyObjectMap [ rr:property a:title ; rr:column "Title" ; ] ; rr:propertyObjectMap [ rr:property a:year ; rr:column "Year" ; ] ; http://ivan-herman.name/2010/11/02/my-first-mapping-from-rdb-to-rdf-using-r2rml/! http://www.w3.org/TR/r2rml/! Pedro Szekely CC-By 2.0 46
  • 47. RDF Refine Pedro Szekely http://refine.deri.ie/rdfExportDocs!CC-By 2.0 47
  • 49. Pedro Szekely Tools for Linking! CC-By 2.0 49
  • 50. Multiple “John Singer Sargent” ima:SaamPerson_John_Singer_Sargent! a saam:SaamPerson ;! dct:date "1856-1925" ;! foaf:name "John Singer Sargent" .! cb:SaamPerson_John_Singer_Sargent! a saam:SaamPerson ;! ont0:dateOfBirth "1879", "1885" ;! ont0:dateOfDeath "1925" ;! skos:prefLabel "John Singer Sargent" .! saam:SaamPerson_4253! a saam:SaamPerson ;! saam:associatedPlace ! dallas:SaamPerson_John_Singer_Sargent! a saam:SaamPerson ;! ont0:dateOfBirth "1856" ;! ont0:dateOfDeath "1925" ;! foaf:name "John Singer Sargent" .! met:SaamPerson_John_Singer_Sargent! a saam:SaamPerson ;! ont0:placeOfResidence ! saam:SaamPlace_1357324439768t1r13950_0, ! saam:SaamPlace_1357324439768t1r13951_0 ;! saam:constituentId "4253" ;! rdaGr2:biographicalInformation ! “Painter. Sargent traveled …" ;! rdaGr2:dateAssociatedWithThePerson "1990-10-1”, "1995-5-8" ;! rdaGr2:dateOfBirth "1856-1-12" ;! rdaGr2:dateOfDeath "1925-4-15" ;! rdaGr2:placeOfBirth saam:SaamPlace_1357324439768t1r13952_0 ;! rdaGr2:placeOfDeath saam:SaamPlace_1357324439768t1r13953_0 ;! skos:altLabel "John S. Sargent" ;! skos:prefLabel "John Singer Sargent" .! "North and Central America", ! "United States" ;! foaf:name "John Singer Sargent" .! Pedro Szekely CC-By 2.0 50
  • 51. ima:SaamPerson_John_Singer_Sargent! a saam:SaamPerson ;! dct:date "1856-1925" ;! foaf:name "John Singer Sargent" .! cb:SaamPerson_John_Singer_Sargent! a saam:SaamPerson ;! ont0:dateOfBirth "1879", "1885" ;! ont0:dateOfDeath "1925" ;! skos:prefLabel "John Singer Sargent" .! saam:SaamPerson_4253! a saam:SaamPerson ;! saam:associatedPlace ! dallas:SaamPerson_John_Singer_Sargent! a saam:SaamPerson ;! ont0:dateOfBirth "1856" ;! ont0:dateOfDeath "1925" ;! foaf:name "John Singer Sargent" .! met:SaamPerson_John_Singer_Sargent! a saam:SaamPerson ;! ont0:placeOfResidence ! saam:SaamPlace_1357324439768t1r13950_0, ! saam:SaamPlace_1357324439768t1r13951_0 ;! saam:constituentId "4253" ;! rdaGr2:biographicalInformation ! “Painter. Sargent traveled …" ;! rdaGr2:dateAssociatedWithThePerson "1990-10-1”, "1995-5-8" ;! rdaGr2:dateOfBirth "1856-1-12" ;! rdaGr2:dateOfDeath "1925-4-15" ;! rdaGr2:placeOfBirth saam:SaamPlace_1357324439768t1r13952_0 ;! rdaGr2:placeOfDeath saam:SaamPlace_1357324439768t1r13953_0 ;! skos:altLabel "John S. Sargent" ;! skos:prefLabel "John Singer Sargent" .! "North and Central America", ! "United States" ;! foaf:name "John Singer Sargent" .! Pedro Szekely John Singer Sargent Pedro Szekely CC-By 2.0 51
  • 52. Linking “John Singer Sargent” saam:SaamPerson_4253! owl:sameAs cb:SaamPerson_John_Singer_Sargent ;! owl:sameAs dallas:SaamPerson_John_Singer_Sargent ;! owl:sameAs ima:SaamPerson_John_Singer_Sargent ;! owl:sameAs met:SaamPerson_John_Singer_Sargent ;! owl:sameAs dbpedia:John_Singer_Sargent ;! owl:sameAs nytimes/N49129220686803623753 ;! owl:sameAs w-flick/John_Singer_Sargent ;! ...! .! Pedro Szekely CC-By 2.0 52 Pedro Szekely
  • 53. Linking/Reconciliation Tools Tool Shortcomings Benefits custom code very difficult tuned to the data SILK LIMES experimental, poor support work with RDF, efficient, relatively easy to use RDF Refine requires implementing a new reconciliation service integrated with RDF conversion, user interface for curation Karma under development Pedro Szekely CC-By 2.0 53
  • 56. Pedro Szekely Storing and Maintaining the Data! CC-By 2.0 56
  • 57. Storage Options Technology Shortcomings Benefits SPARQL low reliability, esoteric, endpoint slow sophisticated query language RDF dump no query capability, esoteric flexibility: clients can download and use in applications, easy to publish JSON-LD + ElasticSearch restricted query language very high performance, mainstream technology, easy to publish Pedro Szekely CC-By 2.0 57
  • 58. JSON-LD { "@type": "http://www.cidoc-crm.org/cidoc-crm/E21_Person", "@id": "http://americanart.si.edu/data/person-institution/99”, “P1_is_identified_by": { "@type": "http://www.cidoc-crm.org/cidoc-crm/E82_Actor_Appellation", "@id": "http://americanart.si.edu/data/person-institution/99/appellation/Birth-or-Maiden-Name”, “label": " Walter Inglis Anderson”, “lastname": "Anderson", “firstname": "Walter Inglis” } } Pedro Szekely CC-By 2.0 58
  • 61. we have expanded the reach of linked data within the BBC to more audience facing products and presented our ambitions to using linked data as glue for the plethora of content the BBC produces! ! http://www.bbc.co.uk/blogs/internet/posts/Linked-Data-new-ontologies-website! http://www.bbc.co.uk/blogs/internet/posts/Linked-Data-Connecting-together-the-BBCs-Online-Content! Pedro Szekely CC-By 2.0 61 http://www.bbc.co.uk/blogs/internet/posts/Opening-up-the-BBCs-Linked-Data!
  • 65. thanks for your attention! questions?!