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The Road Forward
based on what we’ve learned from the one we’ve
been on
Let’s start from here
FRBRer FRBRoo
ISBD
BibO
MARC 21
UNIMARC
RDA
DC
BIBFRAME?
Schema.org/bibex?
Bibliographic RDF element sets
Local
Similar things, different povs
• It’s the same bibliographic universe
• With common concepts found in most bibliographic
schema/element sets
• Author, title, subject, format, etc.
• Plus specialized concepts for non-global use
• Musical key, parallel title, etc.
• Allowing semantic maps between particular schema
elements/properties (ontologies)
m21:
M338__b
rda:
carrierTypeManifestation
rda:
mediaTypeManifestation
dct:
format
dc:
format
unc:
mediaType
isbd:
P1003
schema:
encodes
Carrier/format concept map (ontology)
Environment
Many element sets and vocabularies
Don’t need complete ‘schema-to-schema’ maps
Concept-focused maps/ontologies are the
consensus, not the schema boundary
Common concept maps are in process - more can be
created, and viewed as part of a ‘contract’
What’s the common minimal data that you need to
provide to be part of a global service? What else is
necessary for the description?
Design strategies
Bottom up, not top down: the evidence of global
consensus lies in the commonality of multiple local
environments
Top down requires agreement prior to evidence of
usage
Some approved elements never get used; MARC
21 has several examples
The consensus may not lie at “the top”, i.e. the
“dumbest” element
From local to global (data)
• “Contract” specifies set of properties that data must
interoperate with
• Local data can interoperate via direct mapping, or via
connection to any part of a concept-focused map
• Local data remains in original format for local
applications
• Automatically dumbed-down for global services
using maps
• “Think global, act local” = add mappings from local
properties to global graphs
Role of Standards Organization
Build on library community strengths in collaboration
and trust
Maintain “contract” for accepting data in global
service(s)
Consensus identification of component elements
New candidate elements identified by local usage
“Endorsement” mechanism brings new elements
into contract
Local to global (development)
• Local development proceeds at own pace
• No need to wait for consensus approval
• Global endorsement necessarily and usefully lags
behind local developments
• E.g. W3C/HTML5; schema.org
• “Tell us what to do”
• Do your own thing!
Beware of Zombie Issues
Assumption of ‘records’ as units of management
Records can be inputs or outputs
Round tripping
It’s not about data ‘residence’ in one schema or
another—more of a ‘view’
De-duplication—no more ‘master records’
Data at the statement level is available for many
kinds of aggregation
Provenance and Filtering
‘Who says?’ is an essential question when evaluating
statements
Not all data statements are created equal, but
trustworthiness is hard to determine without
provenance
Provenance info is the basis for data filtering
No other technique works quite as well to determine
quality
What’s Needed?
Infinite namespaces, without encodings, sequences,
hierarchies
Support for innovation at every level
Commitment to move forward (not back), and to learn
the right lessons from experience
Leadership from institutions and individuals

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Dunsire roadmap meeting proposal

  • 1. The Road Forward based on what we’ve learned from the one we’ve been on
  • 2. Let’s start from here FRBRer FRBRoo ISBD BibO MARC 21 UNIMARC RDA DC BIBFRAME? Schema.org/bibex? Bibliographic RDF element sets Local
  • 3. Similar things, different povs • It’s the same bibliographic universe • With common concepts found in most bibliographic schema/element sets • Author, title, subject, format, etc. • Plus specialized concepts for non-global use • Musical key, parallel title, etc. • Allowing semantic maps between particular schema elements/properties (ontologies)
  • 5. Environment Many element sets and vocabularies Don’t need complete ‘schema-to-schema’ maps Concept-focused maps/ontologies are the consensus, not the schema boundary Common concept maps are in process - more can be created, and viewed as part of a ‘contract’ What’s the common minimal data that you need to provide to be part of a global service? What else is necessary for the description?
  • 6. Design strategies Bottom up, not top down: the evidence of global consensus lies in the commonality of multiple local environments Top down requires agreement prior to evidence of usage Some approved elements never get used; MARC 21 has several examples The consensus may not lie at “the top”, i.e. the “dumbest” element
  • 7. From local to global (data) • “Contract” specifies set of properties that data must interoperate with • Local data can interoperate via direct mapping, or via connection to any part of a concept-focused map • Local data remains in original format for local applications • Automatically dumbed-down for global services using maps • “Think global, act local” = add mappings from local properties to global graphs
  • 8. Role of Standards Organization Build on library community strengths in collaboration and trust Maintain “contract” for accepting data in global service(s) Consensus identification of component elements New candidate elements identified by local usage “Endorsement” mechanism brings new elements into contract
  • 9. Local to global (development) • Local development proceeds at own pace • No need to wait for consensus approval • Global endorsement necessarily and usefully lags behind local developments • E.g. W3C/HTML5; schema.org • “Tell us what to do” • Do your own thing!
  • 10. Beware of Zombie Issues Assumption of ‘records’ as units of management Records can be inputs or outputs Round tripping It’s not about data ‘residence’ in one schema or another—more of a ‘view’ De-duplication—no more ‘master records’ Data at the statement level is available for many kinds of aggregation
  • 11. Provenance and Filtering ‘Who says?’ is an essential question when evaluating statements Not all data statements are created equal, but trustworthiness is hard to determine without provenance Provenance info is the basis for data filtering No other technique works quite as well to determine quality
  • 12. What’s Needed? Infinite namespaces, without encodings, sequences, hierarchies Support for innovation at every level Commitment to move forward (not back), and to learn the right lessons from experience Leadership from institutions and individuals