RDA: future scenarios
Lars G. Svensson; Gordon Dunsire
Overview
• Context• Linked data and the Semantic Web• RDA triples• Role of FRBR• Navigating the data• What’s in it for whom?
Context
• RDA test executive summary:– Announce completion of the Registered RDA Element
Sets and Vocabularies. Ensure the registry is well described and in synchronization with RDA rules.
• Business case: ... enables the descriptive metadata created to be used in a linked data world
– Demonstrate credible progress towards a replacement for MARC.
• LoC Bibliographic Framework Transition Initiative– Experiment with Semantic Web and linked data
technologies
Linked data world
• Not a new world for bibliographic metadata– Modern library systems link descriptive metadata to
authority headings for resource discovery• RDA database scenario 2
• Semantic Web offers opportunities to go global– World-Wide, international scale of the machine-
processing infrastructure of the Web• Resource Description Framework (RDF)
– Interoperable, simple, atomic metadata statements in the form of “triples”
What does an RDA triple look like?
The specified expression
has content type
tactile notated music
ex:123 rda1:contentTypeExpression rdact:1016 .
taktile Musik
content type“taktile Musik”
“tactile notated music”
preferred label (de)
preferred label (en)
Linked data!
Where is FRBR?
content type
ex:123
rdact:1016
E.g. “content type” specified to have domain (first part of triple) of frbrer:C1002 (Expression)
frbrer:C1002is-a“Expresión”
label (sp)
We can register properties like “content type” to say that the first and/or last parts of a triple
are specific instances of a particular class
“Work”
label (en)
frbrer:C1003realization of
ex:345is-a
To watch a large graph of linked data can be somewhat intimidating
PND
DNB-
Exemplare
DNB-Titel
GKD/
Labels
Wikipedia
SWD
LCSH
VIAF
ISBN
ISSN
ISMN
Verbund-
Exemplare
ZDB-Titel
Verbund-
Titel
WorldCat-
Titel
RAMEAU
urn:nbn:de
MVB
PhononetDDC
(deutsch)
Is the best way an application-specific view?
Title How to protect yourself against DengueTouristikmedizin
Author
Subject
?
?
?
Is the best way an application-specific view?
Title How to protect yourself against Dengue
Author Watson,
SubjectWatson, AndersWatson, BelindaWatson, ImmanuelWatson, John H. (Literarische Gestalt) Watson, KarenWatson, NicolasWatson, XanthippaWatson, Yngve
?
?
?
Is the best way an application-specific view?
Title How to protect yourself against Dengue
Author Watson, John H. (Literarische Gestalt)
Subject Travel m
Travel medicineTravel medievalTouristikmedizin (GND)
?
?
?
Or should it be like moving a lense over the graph?
Or should it be like moving a lense over the graph?
Der Steppenwolf,
München 2006
Der Steppenwolf,
German
Der Steppenwolf
Or should it be like moving a lense over the graph?
Der Steppen-
Wolf
Hermann Hesse
Zürich
Or should it be like moving a lense over the graph?
Zürich
Schweiz
Europa
Baedecker Schweiz
Should the user really need to care?
Enter your search terms here Go!
Classic search interface:
Enter your search terms here Go!
Semantic search interface:
So who benefits from all this?
Is all this semantic web stuff of any use
to me as a library patron?
http:
//fa
rm3.
stati
c.fli
ckr.c
om/2
123/
2195
2402
37_1
f1c7
fd67
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jpg
Other institutions benefit, since they can re-use library data
Libraries benefit, because we don‘t need to curate all the data ourselves
Phot
o by
kar
lnor
ling
(CC-
BY):
http:
//w
ww
.flic
kr.c
om/p
hoto
s/ka
rlnor
ling/
4206
7275
80/s
izes
/m/i
n/ph
otos
trea
m/
Phot
o by
J. S
teph
en C
onn
(CC-
BY-N
C): h
ttp:
//w
ww
.flic
kr.c
om/p
hoto
s/js
teph
enco
nn/4
2243
2288
4/si
zes/
m/i
n/ph
otos
trea
m/
Gnd:123456-7
“Paris“@fr
Geonames:98765-4
lat
long
By involving trusted communities, we can maintain high data quality
Open Knowledge NetworksData generation: registered users and communities, automated algorithmsQuality control: self-control (see Wikipedia)
Open Knowledge NetworksData generation: registered users and communities, automated algorithmsQuality control: self-control (see Wikipedia)
Sphere
Controlled Quality Data generation: high quality algorithmsQuality control: training and improvement of algorithms
Controlled Quality Data generation: high quality algorithmsQuality control: training and improvement of algorithms
Mantle
Guaranteed QualityData generation an correction: libraries, universities, museums, expert panels, etc. Quality control: strict rules, panelsHighest stability (persistency)
Guaranteed QualityData generation an correction: libraries, universities, museums, expert panels, etc. Quality control: strict rules, panelsHighest stability (persistency)
Core
Thank you
• [email protected]• [email protected] • RDA in Open Metadata Registry
– http://metadataregistry.org/rdabrowse.htm
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