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RDA and the semantic Web. Lectio magistralis in Library Science b y Gordon Dunsire Florence University, Florence , Italy 4th March, 2014. In the beginning …. 3?. Toronto, 1997. General Material Designator (US). General Material Designator (UK). Content vs Carrier / Haworth.

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rda and the semantic web

RDA and the semantic Web

Lectiomagistralis in Library Science

by Gordon Dunsire

Florence University, Florence, Italy

4th March, 2014

slide2
In the beginning …

3?

Toronto, 1997

slide3
General Material Designator (US)

General Material Designator (UK)

Content vs Carrier / Haworth

Logical analysis / Delsey

Chief source of

information

Item

Series

Subseries

Type of publication

Class of

materials

Structure

of AACR3

$£$£$£!!!

?

ISBD(G)

slide4
Functional Requirements for

Bibliographic Records

Work

Expression

User

tasks

Manifestation

Item

Content attributes

Carrier attributes

AACR3

Item

JSC, 2005

slide5
Semantic Web (Berners-Lee)

Structured

collections

of information

Sets of inference rules

Automated reasoning

Web of linked data

Web of linked documents

Web of linked computing devices

slide6
Resource Description Framework (RDF)

“This work has author Gordon Dunsire”

Triple!

Subject – Predicate - Object

ex:1Bd38

?

Subject

“This work”

Predicate

“has author”

?

ex:ZX3G5

Object

“Gordon Dunsire”

?

“literal”

Uniform Resource Identifier (URI)

For machines

For humans

slide7
ex:“is derivative work of”

ex:“has derivative work”

ex:“hastitle”

“RDA and the Semantic Web”

ex:“has author”

One giant global graph

“Gordon Dunsire”

ex:“hasname”

ex:

“This work”

ex:

“That work”

ex:

Scotland

ex:“is author of”

ex:

Gordon Dunsire

ex:

“This work”

“G. J. Dunsire”

ex:“has author”

ex:“hasalternate name”

ex:“has

country of birth”

slide8
Data vs Ontology

Data triple

URI

ex:

Gordon Dunsire

ex:

“This work”

ex:

hasAuthor

ex:“has author”

ex:“haslabel”

Ontology

triple

ex:“hastype”

“has author”

“Property”

slide9
RDA vocabulary example

“notated music”@en

ex:“haslabel”

“schriftlichfixierteMusik”@de

ex:“haslabel”

rdact:

1010

rdact:

1016

ex:

“is related to”

ex:“haslabel”

“tactile notated music”@en

slide10
Inference rules: sub-property

ex:“haslabel”

“has author”@en

ex:“has author”

ex:“hascreator”

ex:

“is sub-

property

of”

“has creator”@en

ex:

“This work”

ex:

“This work”

ex:

Property1

ex:

Property2

ex:“haslabel”

“Gordon Dunsire”

“Gordon Dunsire”

slide11
rdfs:label

rdfs:comment

RDF vocabularies: DCT + RDFS

Dublin Core Terms + RDF Schema

rdfs:range

rdfs:label

“Creator”

“Agent”

dcterms:

creator

dcterms:

Agent

“A resource that acts or has the power to act.”

Source of URIs

slide12
Inference rules: range

rdfs:range

ex:

Gordon Dunsire

ex:

Gordon Dunsire

ex:

“This work”

dcterms:

creator

dcterms:

agent

dcterms:

Agent

rdfs:type

dcterms:creator

slide13
Data model meeting

Panizzi

British Library, London, 30 April – 1 May 2007

Members of RDA and Semantic Web communities

“… agreed that RDA and DCMI should work together …”

(Dublin Core Metadata Initiative)

benefits expected
Benefits expected
  • The library community gets a metadata standard that is compatible with the Web Architecture and that is fully interoperable with other Semantic Web initiatives
  • The DCMI community gets a libraries application profile firmly based on the DCAM and FRBR (which will be a high profile exemplar for others to follow)
  • The Semantic Web community get a significant pool of well thought-out metadata terms to re-use
  • There is wider uptake of RDA
activities
Activities
  • Development of an RDA Element Vocabulary
  • Development of an RDA DC Application Profile based on FRBR and FRAD
  • Disclosure of RDA Value Vocabularies using RDF/RDFS/SKOS
slide16
Opaque URI

(only for machines)

Compact URI = rdact:1010

slide19
DCAM and RDA

Dublin Core Abstract Model

rdae:

“has content

type”

skos:inScheme

rdfs:label

Basic RDA metadata structures

ex:

ExpressionURI

rdact:

1010

“notated music”@en

rdaterms:

RDAContentType

slide20
High-level metadata structures

Unconstrained

rdfs:

“domain”

Constrained by FRBR (domain)

sP

rdfs:

“domain”

rdam:

“has title”

rdau:

“has title”

rdam:

“has title proper”

rdau:

“has title proper”

rdac:

“Manifestation”

sP

sP

sP = rdfs:”sub-property of”

slide21
Relationship designators

sP

rdaw:

“has creator”

rdau:

“has creator”

rdau:

“has designer”

rdaw:

“has designer”

rdac:

“Work”

rdac:

“Agent”

rdfs:

“domain”

sP

rdfs:

“range”

sP

sP = rdfs:”sub-property of”

slide22
Link-ability

Domains

Relationships

Attributes

Triple chains

Triple clusters

Literals

Covering all media

slide23
Rich detail

rdaw:

“is video screenplay (work)”

rdaw:

“is screenplay (work)”

rdaw:

“has related work”

rdaw:

“has accompanying work relationship with”

rdaw:

“is complemented by (work)”

sub-property ladder

slide24
Interoperability

???

rdau:

“has voice actor”

rdaw:

“has creator”

rdau:

“has actor”

dcterms:

“creator”

dc:

“creator”

rdau:

“has performer”

rdau:

“has creator”

to do
To do
  • Publish more RDA value vocabularies
  • Develop cross-entity elements
    • E.g. Work-Expression relationship designators
  • Develop Application Profile for RDA “core”
  • Develop RDF elements for aggregated statements (RDA, ISBD, MARC, …)
    • E.g. Place of publication -> Publication statement
achievements 5 years on
Achievements: 5+ years on
  • Rich set of elements and value vocabularies for “bibliographic control”
    • At global, “universal” level
  • “a metadata standard that is compatible with the Web Architecture and that is fully interoperable with other Semantic Web initiatives”
  • “a significant pool of well thought-out metadata terms to re-use”
  • Wider uptake of RDA? …
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