MAJ A ŽUMER UNIVERSITY OF LJ UB LJ ANA, SLOVENIA & MARCIA LEI ZENG KENT STATE UNIVERSITY, USA
Application of FRBR and FRSAD to classification systems
Interational UDC Seminar 2015 Lisbon, Portugal 29.-30. 10. 2015
Application of FRBR and FRSAD to classification systems MAJ A UMER - - PowerPoint PPT Presentation
Application of FRBR and FRSAD to classification systems MAJ A UMER UNIVERSITY OF LJ UB LJ ANA, SLOVENIA & MARCIA LEI ZENG KENT STATE UNIVERSITY, USA Interational UDC Seminar 2015 Lisbon, Portugal 29.-30. 10. 2015 The FRBR family
MAJ A ŽUMER UNIVERSITY OF LJ UB LJ ANA, SLOVENIA & MARCIA LEI ZENG KENT STATE UNIVERSITY, USA
Interational UDC Seminar 2015 Lisbon, Portugal 29.-30. 10. 2015
The FRBR family models: main entities and relationships
FRBR FRAD FRSAD
Source: Žumer, Zeng, and Salaba, 2010. FRBR: A Generalized Approach to Dublin Core Application Profiles. Proc. Int’l Conf.
2010
Modelling versions of a classification system
French DDC 22 German DDC 22 Italian DDC 22 Swedish Mixed DDC 22
Italian A14 Vietnamese A14 French A14 Spanish A14 Hebrew A14
200 Religion Class Guide (French)
DDC 22
A14
DDC Sach- Gruppen (German) DDC Summaries
English French Italian Rhaeto- Romansch Afrikaans Arabic Chinese French German Norwegian Portuguese Russian Scots Gaelic Spanish Swedish
Versions
system
examlple A top-level view of the different versions of the DDC emanating from DDC 22
Classification Systems & FRBR Model
Is it the system as a whole (“DDC”), or an
edition of the system (“DDC 22”)?
Does this vary by system to be modelled?
manifestation and item be applied to classification systems?
Classification as work Edition as work
W E M
embodied in
When dealing with multiple versions ...
W E M
More relationships introduced -- Another example
Modelling the subject relationship, aboutness
NOMEN = any sign or arrangement of signs (alphanumeric characters, symbols, sound, etc.) that a thema is known by, referred to or addressed as
Thema = “any entity used as a subject of a work".
The core of the FRSAD conceptual model
WORK has as subject THEMA / THEMA is subject of WORK FRSAD Part 2: THEMA has appellation NOMEN / NOMEN is appellation of THEMA
Note: in a given scheme and within a domain, a nomen should be an appellation of only one thema.
NOMEN = any sign or sequence of signs (alphanumeric characters, symbols, sound, etc.) that a thema is known by, referred to or addressed as.
Source: STN Database Summary Sheet: USAN (The USP Dictionary of U.S. Adopted Names and International Drug Names)
Example:
Nomen 1-8
Nomen 9
THEMA –TO –THEMA RELATIONSHIPS within one classification system thema@schemeS nomen(s)
Semantic relationships are established among themas:
needed
thema thema thema thema thema thema nomen(s) nomen(s) nomen(s)
DDC in FRSAD
category description:
equivalent topics
‘546.663’ @ ddc
class@ddc
‘546.66’ @ ddc
has nomen has nomen has super class
‘*Mercury’ @ en
has caption
‘Group 12’ @ en
has caption
DDC in FRSAD
Thema: Class 025.04
“including” “class here” “class elsewhere”
Thema: Class 025.04
Thema-thema relationships
associative relationship associative relationship (poly)hierarchical relationship topics that are functionally equivalent to the class
Notation for / Caption of Class
Notation Hierarchically-contextualized caption
362.196462 Social problems of and services to groups of people / People with physical illnesses / Medical services / Diabetes 616.462 Medicine / Specific diseases / Diseases of endocrine system / Diabetes mellitus 616.46206 . . . / Diabetes mellitus / Treatment 618.3646 Medicine / Gynecology and obstetrics / Diseases and complications of pregnancy / Diabetes 618.92462 Medicine / Pediatrics / Diabetes mellitus 641.56314 Cooking for people with medical conditions / People with diabetes
Core thema-nomen relationship
Alternative nomens: Relative Index terms with equivalence relationship to class
More Classification Systems
Universal Decimal Classification (UDC) Mathematics Subject Classification (MSC) 2010 WHO International Statistical Classification of Diseases and Related Health
Problems (ICD-10)
Universal Decimal Classification (UDC) - example
025.3/.6 Departments concerned with exploitation, utilization of the literature 025.4 Classification and indexing Indexing and retrieval languages. Classifications, thesauruses etc. and their construction 025.4.01 Classification principles and procedure Characteristics of division.
025.4.02 Practical application, uses of classification Shelf arrangement. Catalogue arrangement. Bibliographic use 025.4.03 Searching and retrieval techniques 025.4.032 Manual search and retrieval 025.4.034 Mechanical sorting With punched card equipment 025.4.036 Computer-aided search and retrieval 025.4.05 Indexing and retrieval languages for the whole of knowledge Universal classifications. Universal thesauruses 025.4.06 Indexing and retrieval languages for special subjects Special
Source: UDC English Edition online http://www.udc-hub.com/en/login.php
Mathematics Subject Classification (MSC) 2010 - example
Source: http://www.ams.org/msc/msc2010.html?t=62- XX&btn=Current
WHO International Statistical Classification of Diseases and Related Health Problems (ICD-10) -- example
source: http://apps.who.int/classifications/icd10/browse/2016/
What is the motivation?
Clarifying and understanding
Thema vs. Nomen Appropriate allocation of attributes and relationships The structure
→ Enables
Mapping Linking Aligning
Nomen-based mapping will lead to incorrect matches
thema@schemeS
nomen(s) labelB@schemeX labelC@schemeY labelD@schemeZ
Concept URI term@en term@fr entry-terms notation@scheme#1 notation@scheme#n alternative-notations
notes
a label is only an attribute of a thema
They LOOK similar. But are they the same thing?
They LOOK similar. But are they the same thing? This is the situation we can find in many nomen- based mapping results (string-string mapping, not concept-concept mapping, no context).
recruitment From XYZ (URI hidden from display in this ppt)
recruitment
http://vocabs.lter- europe.net/EnvThes/USLterCV_458.html
Possible reasons:
The extension of a concept can help to identify the intension (meaning) of the concept. (URI hidden from display in this ppt) From XYZ
Concept inScheme CLC
:
CCT Concept skos:exactMatch skos:broadMatch thema A @schemeX Nomen(s)
thema@ schemeS
skos:closeMatch thema B @ schemeY skos:relatedMatch
{has relation with}
nomen nomen(s) nomen(s)
thema-based mapping ensures semantic interoperability
skos:narrowMatch skos:exactMatch skos:closeMatch
Features:
from individual themas (including built and post- coordinated) from other sources.
relations.
Advantages:
easily (e.g., another language version)
continuously
Sneak peek preview
FRBR - Library Reference Model (LRM) - draft
High-level conceptual model Expressed in entity-relationship framework Consistent view of bibliographic universe Work informed by
Research with users
FRBRoo and CIDOC CRM
Experiences implementing FRBR, FRAD, FRSAD
Semantic Web and Linked Data context
In a nutshell
More general, high level model Allows implementors to add details in a consistent way WEMI and primary relationships remain unchanged Agent introduced (Person and Collective agent as subclasses) Attributes and relationships more general Thema → Res Nomen Place and Time-span as entities
User Tasks
processes are not reflected in the tasks
be more general
The decision was to declare the relationships and attributes in a
general, abstract way and thus enable implementers to include additional details in a consistent and coherent way by introducing additional specific types.
Appellation relationship
RES has appellation is appellation of NOMEN M to M
Responsibility relationships
WORK was created by created AGENT M to M EXPRESSION was created by created AGENT M to M MANIFESTATION was created by created AGENT M to M MANIFESTATION is distributed by distributes AGENT M to M MANIFESTATION was produced produced AGENT M to M ITEM is owned by
AGENT M to M ITEM was modified by modified AGENT M to M
Other important relationships
WORK has as subject is subject of RES M to M RES has association with is associated with PLACE M to M RES has association with is associated with TIME-SPAN M to M
Next steps
Bibliography sections
MAJA ŽUMER UNIVERSITY OF LJ UB LJ ANA, SLOVENIA & MARCIA LEI ZENG KENT STATE UNIVERSITY, USA