Gordon Dunsire UKSG webinar 5 July 2016 Overview A basic introduction to data structures triples chains and clusters What is a linked data record Global multilingual linked data Linking data from multiple sources ID: 695247
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Slide1
Quo vadis?Getting there with linked data
Gordon Dunsire
UKSG webinar, 5 July 2016Slide2
OverviewA basic introduction to data structures: triples, chains, and clusters
What is a linked data record?
Global, multilingual linked data
Linking data from multiple sources
The Semantic Web: a paradigm shift?Slide3
Semantic Web (of linked data)“machine-readable metadata”
Faster! 24/7/365! Global!
Metadata expressed as “atomic” statements
A simple, single, syntactically irreducible statement
The title of this book is “Treasure island”
In a standard machine-
processable
format
Resource Description Framework (RDF)Slide4
Resource Description FrameworkMetadata statement constructed in 3 parts
“Triple”
The title of this book is “Treasure island”
Subject of the statement =
Subject
: This book
Nature of the statement =
Predicate
: has title
Value of the statement =
Object
: “Treasure island”
This book – has title – “Treasure island”
subject – predicate - objectSlide5
Identifiers
Need unambiguous way of identifying each part of the triple for efficient machine-processing
Human labels (“This book”, “has title”) no good
Same thing, different labels; different things, same label
Exploit the utility of the URL
Machine-readable, regular syntax, unambiguous
Uniform Resource Identifier (URI)Slide6
RDF rules
Human-readable data are the values of triple statements stored as text
"Treasure Island"
Character string = "literal"
A triple object
may
be a literal value
Everything else is a URI
A triple object
may
be a URI
A triple subject
must
be a URI
A triple predicate (property)
must
be a URISlide7
RDF graphs
subject
URI
object
URI
property URI
subject
URI
"object literal"
property URI
ex:M1 rdam:P30001 rdact:1049
ex:M1 rdam:P30088 "[United States?]"
Triple 1
Triple 2
… Triple 70 (average number for describing a resource)Slide8
Merged nodes: Clusters and chains
object2
property:y
subject1
"a literal"
property:x
subject3
p:aa
thing4
p:ab
thing5
object3
"another literal"
p:z
p:a
"any literal"Slide9
Complexity of relationships: Moby Dick
Ronald J. Murray: From Moby Dick to mash-ups
http://www.slideshare.net/RonMurray/from-mobydick-to-mashups
Printed editions
“
OrsonWhales
” mash-up (YouTube)
Diagram using FRBR entities and relationshipsSlide10
title
“Ode to himself”
Ben Jonson
Place X
Parchment
This ms
author
“Jonson, Ben”
“
abcxyz
”
birthplace
normalised name
coordinates
material
“Requires ...”
location
treatment
Manuscript example: RDF graphSlide11
Expression:1
"2004"
rdam:P30135
rdact:1049
rdamt:1007
Work:1
RDA Manifestation
linked data graph
Manifestation:1
rdam:P30139
"volume"@
en
"unmediated"@
en
"[United States?]"
"Margaret
Brouwer
"
"Concerto for violin and chamber music
"
"
Brouwer
New Music Publishing"
"42 cm"
rdami:1001
"single unit"@
enSlide12
RDA Registry for linked data in Open Metadata RegistrySlide13
"
sin
mediación
"@
es
rdamt:1007
Multilingual linked data
"unmediated"@
en
"
ohne
Hilfsmittel
zu
benutzen
"@de
"
sans
médiation
"@
fr
"
无中介
"@
zh
hasLabelSlide14
RIMMF linked data display in EnglishSlide15
Same RIMMF linked data in FrenchSlide16
French cataloguer
English agency
German content
Polylingual data (RIMMF-ball)Slide17
Agent:1
"
Brouwer
, Margaret, 1940-"
"Margaret
Brouwer
"
"
Brouwer
, Margaret"
"1940"
rdaa:P50094
rdaa:P50103
rdaa:P50117
rdaa:P50121
RDA Agent
linked data cluster
dbPedia
:
Margaret_Brouwer
viaf
:
Margaret_Brouwer
match
matchSlide18
Identifier management:
Match or no match?Slide19
m21:
M338__b
rdam
:
P30001
rdam
:
P30002
dct:
format
dc:
format
rdau
:
P60050
isbd:
P1003
schema:
encoding
Does BIBFRAME fit here?
Semantic map of manifestation carrier/media type
element
Broad/
coarse
Narrow/
fineSlide20
Linked
open
data
Semantic Web
Semantic
data: properties of properties
(triples about properties)
Provenance
data: properties of triples
(triples about triples)
A
nyone can say
A
nything about
A
ny thing
O
pen
W
orld AssumptionAbsence of data is not data of absence"Record" is never completeSlide21
Paradigm shift?
The wisdom of the crowd
(Ask the audience)
The power of the cloud
(Linked data everywhere)
No absolute "record"
(just data)
No test for truth
(just inconsistency)
Library and cultural heritage data of highest qualitySlide22
Thank yourscchair@rdatoolkit.org
Open Metadata Registry (IFLA, RDA)
http://metadataregistry.org/
RDA Registry
http://www.rdaregistry.info/
RIMMF and r-balls (RDA linked data examples)
http://rballs.info/