swiss art research infrastructure development and...
TRANSCRIPT
reference & modellingSwiss Art Research Infrastructure
development and semantics
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Creator
Author
Physical Object
Symbols
DateType of Object
DateType
Digital ObjectRights
AuthorDigital Objects
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Creator
Author
Physical Object
Symbols
DateType of Object
DateType
Digital ObjectRights
AuthorDigital Objects
Semantic Architecture: development and novelty - CORDH meeting Zurich 22/23 May 2019 5
Persons Artworks Group
EventsPlaces Bibliographic item
Digital Objects
Built Works
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Persons Artworks Group
EventsPlaces Bibliographic item
Digital Objects
Built Works
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Persons
• GND Agrelon• SIKART• MARC21• VIAF• ULAN• CDWA• CCO• VRA• Schema
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E21 Person
E42 Identifier
E67 Birth
F51 Pursuit
P98
P1
P14i
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Conceptual Entity
Type
Dimension
Physical Object
Actor
Time-span
Event
Conceptual EntityActor Literal
Appellation
Actor
Mother & Birth
Event Time-span
Actor Literal
Literal
Creation
Physical Object Event
Semantic Architecture: development and novelty - CORDH meeting Zurich 22/23 May 2019 10
Semantic Architecture: development and novelty - CORDH meeting Zurich 22/23 May 2019 11
Semantic Architecture: development and novelty - CORDH meeting Zurich 22/23 May 2019 12
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social relationships
uncertainty
conceptual creation
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social relationships
uncertainty
conceptual creation
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social relationships
- Person A is student of Person B
- Person C is patron of Person D
- Person E is cousin of Person F
- Person G is godchild of Person H
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social relationships
E21 Person
SRPC3 in social relation
E55 Type E21 Person
P01 has domain
P02 has rangeSRP3 relation type
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social relationships
uncertainty
conceptual creation
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uncertainty
The problem of uncertainty is a classical one. We subdivide the
issue into four different ones:
- imprecise information
- incomplete information
- inconsistent information
- vague information
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uncertainty
Imprecise information:
value are present but not precise
Example: The birth of a person is between '01-01-1201' and
’31-12-1201'
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uncertainty
Incomplete information:
value of an attribute is unknown but discoverable
Example: The mother of a person is born on the '01-01-1201'.
We do not know her name.
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uncertainty
Inconsistent information:
More than one value is present and they are inconsistent with each
other
Example: the birth of a person happened on the '01-01-1201' OR
on the '02-01-1201
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uncertainty
vague information:
Situation in which the value of an attribute lack ontological precision
Example: john is young
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uncertainty
- imprecise information
- incomplete information
- inconsistent information
- vague information
E55 Type
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uncertainty
E41 Appellation
P1 is identified by
rdfs:label “Anonimo Veneziano”
E21 Person
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uncertainty
E41 Appellation
P1 is identified by
rdfs:label “Anonimo Veneziano”
E21 Person
P2 has type E55 Type “incomplete”
P2 has type E55 Type “incomplete”
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E41 Appellation
P1 is identified by
rdfs:label “Anonimo Veneziano”
uncertainty
P2 has type E55 Type “Uncertain”
appellation
birth
“anonimo veneziano”
E21 Person
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P2 has type
E41 Appellation
P1 is identified by
rdfs:label “Anonimo Veneziano”
person
appellation
birth
“anonimo veneziano”
uncertainty
E21 Person E55 Type “incomplete”
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P2 has type
E55 Type “imprecise”
E67 Birth
E21 Person
P98 brought into life
P4 has time-span
“01-08-1268”
“01-09-1268”
E52 Timespan
P82a
P82b
person
appellation
birth
“anonimo veneziano”
time
“01-08-1268”
“01-09-1268”uncertainty
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P2 has type E55 Type “inconsistent”
E67 Birth
E21 Person
P98 brought into life
P4 has time-span E52 Timespan
uncertainty
P4 has time-span
P2 has type E55 Type “inconsistent”E52 Timespan
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P2 has type E55 Type “inconsistent”
E67 Birth
E21 Person
P98 brought into life
P4 has time-span E52 Timespan
uncertainty
P4 has time-span
P2 has type E55 Type “inconsistent”E52 Timespan
E55 Type “imprecise”
P2 has type
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uncertainty
• advantages: easy to implement and use over current
information structure.
• disadvantages: not a formal method and subjective.
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social relationships
uncertainty
conceptual creation
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others..
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terminology & language
vocabularies
others..
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gender number&
male female neuter
single plural
terminology
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German ➞ deSwiss German ➞ gsw-CH
Austrian German ➞ de-AT
Swiss Standard German ➞ de-CH
de-DE
de-CH
de-AT
gsw-CH
German ➞ de-DEgsw-FR
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social types
nationalities
occupation
architecture
vocabularies
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Reference Data Models
Swiss Art Research Infrastructure
where
https://docs.swissartresearch.net
https://www.swissartresearch.net
Resourceshttps://github.com/swiss-art-research-net/
THANK YOU