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FRBRoo,
the IFLA Library Reference Model,
and now LRMoo :
A circle of development
Pat Riva (Concordia University, Canada)
Maja Žumer (University of Ljubljana, Slovenia)
August 25, 2018
IFLA WLIC 2018, Kuala Lumpur
Background
Modelling is never a simple straightforward
process. We need:
• Participants from different backgrounds
• Open discussions, clarifications
• Reflection
• Flexibility
WLIC 2018, Kuala Lumpur 2
FRBR (1998)
FRBRoo 1.0 (2009)
FRBRoo 2.4 (2016)
LRM (2017)
FRAD (2009)
FRSAD (2010)
WLIC 2018, Kuala Lumpur 3
Entity-relationship to object-oriented
FRBR (1998)
FRAD (2009)
FRSAD (2010)
LRM (2017)
FRBRoo 1.0 (2009)
FRBRoo 2.4 (2016)
LRMoo
WLIC 2018, Kuala Lumpur 4
Previous Rounds of Development

FRBR (1998) transposed to create FRBRoo 1.0
(2009)

FRAD (2009) and FRSAD (2010) added to
produce FRBR 2.4 (2016)
 A “consolidated” model

IFLA LRM (2017) now being transformed to
create LRMoo (renamed from FRBRoo 3.0)
WLIC 2018, Kuala Lumpur 5
Influence of FRBRoo on LRM

We will look at 3 areas of influence

Entity hierarchies

Representativity

Modelling of bibliographic identities
WLIC 2018, Kuala Lumpur 6
Entity hierarchies

CIDOC CRM organises classes in a
superclass / subclass structure

FRBRoo does so also

Many advantages in simplification of properties

LRM adopted an enhanced entity-relationship
framework with a 3-level entity hierarchy

Streamlining of attributes and relationships

Particularly visible with Agent

Res as superclass
WLIC 2018, Kuala Lumpur 7
Representativity in FRBRoo

FRBRoo 1.0 introduced classes and properties
F41 Representative Manifestation Assignment
F42 Representative Expression Assignment
R40 has representative expression
R41 has representative manifestation product
type

Assuming that features of a specific
manifestation and expression are used to
identify the work
WLIC 2018, Kuala Lumpur 8
Representativity in LRM

WWR version of LRM used a yes/no
expression attribute for labelling a given
expression as representative or not of the work

Reworked in approved LRM as the work
attribute LRM-E2-A2 Representative
Expression Attribute

To be typed to hold values at the work level, of
expression attributes that characterise the
work (the particular expression is not
identified / described)
WLIC 2018, Kuala Lumpur 9
Bibliographic Identities in FRBRoo

FRAD included personas in the person entity

FRAD and FRSAD defined entities for
appellations, instead of using attributes

FRBRoo 2.4 viewed identities as nomen used
in a specific context attested to in a source

Defined F35 Nomen Use Statement, class
which links a nomen to its meaning

Person remained compatible with E21 Person
WLIC 2018, Kuala Lumpur 10
Bibliographic Identities in LRM

LRM models bibliographic identities as nomens
assigned to agents in contexts

Nomen attributes include:

LRM-E9-A5 Context of use

LRM-E9-A6 Reference source

LRM-E9-A2 Nomen string

LRM-E9 nomen defined as a reified
relationship

“association between an entity and a
designation that refers to it”
WLIC 2018, Kuala Lumpur
11
Towards LRMoo

Work started April 2017

LRMoo Working Group appointed at WLIC
2017

Bring oo model into conformity with LRM

Critically assess FRBRoo 2.4

Opportunities for simplification

Fit with new design principles for CRM
extensions—FRBRoo was the first extension,
now there is a CIDOC CRM “family”
WLIC 2018, Kuala Lumpur 12
Influence on CIDOC CRM

Distinction between work and expression
brought into CRM via new subclasses of E28
Conceptual Object

E89 Propositional Object (superclass of F1 Work)

E90 Symbolic Object (superclass of F2
Expression)

Declaration of E99 Product Type

Review of special types of E41 Appellation,
deprecated E82 Actor Appellation
WLIC 2018, Kuala Lumpur 13
Future Development
• LRMoo draft to be completed in 2018 (?)
• Testing of LRM in implementations
• Extensions and refinements for different
contexts
WLIC 2018, Kuala Lumpur 14

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FRBRoo, the IFLA Library Reference Model and now LRMoo

  • 1. FRBRoo, the IFLA Library Reference Model, and now LRMoo : A circle of development Pat Riva (Concordia University, Canada) Maja Žumer (University of Ljubljana, Slovenia) August 25, 2018 IFLA WLIC 2018, Kuala Lumpur
  • 2. Background Modelling is never a simple straightforward process. We need: • Participants from different backgrounds • Open discussions, clarifications • Reflection • Flexibility WLIC 2018, Kuala Lumpur 2
  • 3. FRBR (1998) FRBRoo 1.0 (2009) FRBRoo 2.4 (2016) LRM (2017) FRAD (2009) FRSAD (2010) WLIC 2018, Kuala Lumpur 3
  • 4. Entity-relationship to object-oriented FRBR (1998) FRAD (2009) FRSAD (2010) LRM (2017) FRBRoo 1.0 (2009) FRBRoo 2.4 (2016) LRMoo WLIC 2018, Kuala Lumpur 4
  • 5. Previous Rounds of Development  FRBR (1998) transposed to create FRBRoo 1.0 (2009)  FRAD (2009) and FRSAD (2010) added to produce FRBR 2.4 (2016)  A “consolidated” model  IFLA LRM (2017) now being transformed to create LRMoo (renamed from FRBRoo 3.0) WLIC 2018, Kuala Lumpur 5
  • 6. Influence of FRBRoo on LRM  We will look at 3 areas of influence  Entity hierarchies  Representativity  Modelling of bibliographic identities WLIC 2018, Kuala Lumpur 6
  • 7. Entity hierarchies  CIDOC CRM organises classes in a superclass / subclass structure  FRBRoo does so also  Many advantages in simplification of properties  LRM adopted an enhanced entity-relationship framework with a 3-level entity hierarchy  Streamlining of attributes and relationships  Particularly visible with Agent  Res as superclass WLIC 2018, Kuala Lumpur 7
  • 8. Representativity in FRBRoo  FRBRoo 1.0 introduced classes and properties F41 Representative Manifestation Assignment F42 Representative Expression Assignment R40 has representative expression R41 has representative manifestation product type  Assuming that features of a specific manifestation and expression are used to identify the work WLIC 2018, Kuala Lumpur 8
  • 9. Representativity in LRM  WWR version of LRM used a yes/no expression attribute for labelling a given expression as representative or not of the work  Reworked in approved LRM as the work attribute LRM-E2-A2 Representative Expression Attribute  To be typed to hold values at the work level, of expression attributes that characterise the work (the particular expression is not identified / described) WLIC 2018, Kuala Lumpur 9
  • 10. Bibliographic Identities in FRBRoo  FRAD included personas in the person entity  FRAD and FRSAD defined entities for appellations, instead of using attributes  FRBRoo 2.4 viewed identities as nomen used in a specific context attested to in a source  Defined F35 Nomen Use Statement, class which links a nomen to its meaning  Person remained compatible with E21 Person WLIC 2018, Kuala Lumpur 10
  • 11. Bibliographic Identities in LRM  LRM models bibliographic identities as nomens assigned to agents in contexts  Nomen attributes include:  LRM-E9-A5 Context of use  LRM-E9-A6 Reference source  LRM-E9-A2 Nomen string  LRM-E9 nomen defined as a reified relationship  “association between an entity and a designation that refers to it” WLIC 2018, Kuala Lumpur 11
  • 12. Towards LRMoo  Work started April 2017  LRMoo Working Group appointed at WLIC 2017  Bring oo model into conformity with LRM  Critically assess FRBRoo 2.4  Opportunities for simplification  Fit with new design principles for CRM extensions—FRBRoo was the first extension, now there is a CIDOC CRM “family” WLIC 2018, Kuala Lumpur 12
  • 13. Influence on CIDOC CRM  Distinction between work and expression brought into CRM via new subclasses of E28 Conceptual Object  E89 Propositional Object (superclass of F1 Work)  E90 Symbolic Object (superclass of F2 Expression)  Declaration of E99 Product Type  Review of special types of E41 Appellation, deprecated E82 Actor Appellation WLIC 2018, Kuala Lumpur 13
  • 14. Future Development • LRMoo draft to be completed in 2018 (?) • Testing of LRM in implementations • Extensions and refinements for different contexts WLIC 2018, Kuala Lumpur 14