1. DISI, University of Trento, Italy
eFRBR: An entity model for FRBR
Vincenzo Maltese
Amit Kumar Sarangi
Fausto Giunchiglia
Stella Margonar
ISKO UK
14 July 2015
DISI, University of Trento, Italy

2. Motivation Give documents about Mississippi.
Give documents about the longest river in US.
Giunchiglia et.al. From Knowledge Organization to Knowledge Representation. Knowledge Organization Journal, 41(1), 44-56
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3. Solution: entity-model & terminology
Work
Location
Title: The Adventures of Huckleberry Finn
Author: Mark Twain
… … …
Subject: Mississippi
Class: river
Name: Mississippi
Length: 3765 km
Part-of: U.S.
Location
Class: country
Name: U.S.
Work
Location
Title: Blue Dog, Green River
Author: Brock Brower
… … …
Subject: Green
Class: river
Name: Green
Length: 1175 km
Part-of: U.S.
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4. FRBR
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5. FRBR: starting point An aid as a conceptual framework
1, 2 2
An aid as a conceptual framework
No explicit query specification
An aid to identify core entities
Less weight on group 2 & 3 entities
An aid to characterize abstract and physical aspects of documents
Absence of logical and physical model
1 Tillett, What is FRBR? A conceptual model for the bibliographic universe. The Australian Library Journal, 54(1), 24-30
2 Coyle, FRBR, Twenty Years On. Cataloging & Classification Quarterly, 1-21
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6. eFRBR: entity types (from conceptual to logical model)
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7. eFRBR: entity types (from conceptual to logical model)
instance-of
Mississippi
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8. Continuum of works
Tillett, What is FRBR? A conceptual model for the bibliographic universe. The Australian Library Journal, 54(1), 24-30
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9. eFRBR: terminology
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10. FRBR compared to eFRBR
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11. Answering queries
Find documents where property x denotes an entity of type y with property z=$
type = Work and subject = $1 and $1. type = river and $1.length > 2000 and $1.part-of = “US”
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12. Knowledge graph
type=Work and derivative-work=$1 and $1. type=Work and $1.title=“The Adventures of Huckleberry Finn”
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13. Digital University: data sources  knowledge graph
TIMESHEET
ADA
projects
people and institutions
products
TEA
products
courses
products
IRIS
(DSpace)
ESSE3
Eprints Research
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14. Digital University: customizing the entity types
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15. Digital University: customizing the terminology
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16. Digital University: offering expressive search
Find documents where property x denotes an entity of type y with property z=$
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17. Digital University: supporting analytics
Show graphically the trend of works by department and by year
(it needs to use the authors' affiliation)
Show graphically the trend of works which are about European organizations
(it needs to group and count products by subject, where the subject is any organization seated in any location part of Europe)
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18. How to support queries for existing systems
Expressive Queries
Analytics
FRBR
repository
eFRBR
Knowledge graph
Convert & import
Any institutional
repository
Convert & import
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19. Looking for collaboration
Conclusion
eFRBR: An entity model for FRBR
Developed ontologically sound entity model based on FRBR.
Defined the terminology using the DERA methodology.
Supported wide range of expressive queries.
Answered queries by exploiting a knowledge graph.
Validated the approach in University of Trento use-case.
Plan to develop a software solution to manage and exploit knowledge assets.
maltese
[at]disi.unitn.it
amitkumar.sarangi
[at]unitn.it
fausto
[at]disi.unitn.it
stella.margonar
[at]unitn.it
Looking for collaboration in
Digital University
Thank you
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20. 11/22/201811/22/2018

21. eFRBR: entity types (from conceptual to logical model)
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22. eFRBR: entity types (from conceptual to logical model)
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23. eFRBR: entity types (from conceptual to logical model)
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