modeling classification systems in multicultural and multilingual contexts joan s. mitchell oclc,...
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![Page 1: Modeling Classification Systems in Multicultural and Multilingual Contexts Joan S. Mitchell OCLC, Inc. Marcia Lei Zeng Kent State University Maja Žumer](https://reader038.vdocument.in/reader038/viewer/2022102906/56649c765503460f9492a31e/html5/thumbnails/1.jpg)
Modeling Classification Systems in Multicultural and Multilingual
Contexts
Joan S. Mitchell OCLC, Inc.
Marcia Lei Zeng
Kent State University
Maja Žumer University of Ljubljana, Slovenia
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History
Long-term research project to model classification systems using general conceptual models to support organization and discovery in Semantic Web settings
Can the FRSAD conceptual model be extended to model classification data? (presented at UDC Seminar, 2011)
Can the FRBR model be used to represent the complex relationships among different versions of classification systems? (presented at ISKO conference, 2012)
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Current Study
Can the FRSAD conceptual model be extended to model classification data in order to derive implementable models for classification systems that involve multiple translations and/or multicultural implementations?
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Outline
1. FRSAD conceptual model
2. FRSAD model for classification systems
3. DDC translation case study
4. Chinese Library Classification case study
5. Use cases
6. Future work
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1. FRSAD Conceptual Model
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The core of the FRSAD conceptual model
FRSAD Part 1: WORK has as subject THEMA / THEMA is subject of WORK
FRSAD Part 2: THEMA has appellation NOMEN / NOMEN is appellation of THEMA
NOMEN = any sign or sequence of signs (alphanumeric characters, symbols, sound, etc.) that a thema is known by, referred to or addressed as
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2. FRSAD model for classification systems• Thema corresponds to the full category
description of the class
• Nomen is the symbol (or surrogate) used to represent the full category description
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Thema: Class 025.04
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Nomens: DDC number, Full caption, URI
025.04
Computer science, information & general works/Library & information sciences/Operations of libraries, archives, information centers/Information storage and retrieval systems
http://dewey.info/class/025.04/
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Alternative nomens: Relative Index terms with explicit functional equivalence relationship ( ) to class 025.04
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3. DDC translation case study
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Relationships between DDC classes in translations
1. Thema [class] 22/eng = Thema [class] 22/swe
2. Nomens may be used interchangeably (if not limited by a language-specific attribute)
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Equivalent classes at same notational level
Class 741.5 22/eng Class 741.5 22/swe
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Interchangeable Nomens for Class 741.5741.5
Arts & recreation / Drawing & decorative arts / Drawing and drawings / Special applications / Comic books, graphic novels, fotonovelas, cartoons, caricatures, comic strips
Konst & fritid / Teckningskonst och konsthantverk / Teckningskonst och teckningar / Speciella tillämpningsområden / Seriemagasin, grafiska romaner, fotonovelas, tecknade serier, karikatyrer, skämtserier
http://dewey.info/class/741.5/
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Equivalent classes at same notational level, with further expansion in one edition
Class T2—4888 22/eng Class T2—4888 22/swe
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Relationship between terminal class in one edition with interoperable subclasses in another edition
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4. Chinese Library Classification case study
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CLC Class J29 Calligraphy
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Alternative (optional) notation
Q Biological sciences
[Q89] Environmental biology
Preferred class: X17
X1 Environmental Sciences .
. .
X17 Environmental biology
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5. Use cases
• Translation
• Mapping
• Integration
• Discovery
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Example: Integration (Virtual scope note)
T2—4888 (22/eng)T2—4888+ (22/swe)
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Example: Discovery
T2—4888 (22/eng) T2—4888+ (22/swe)
Relative Index term “Pajala kommun (Sverige)” retrieves T2—4888 (22/eng) or T2—488846 (22/swe)
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6. Future work
• Model Relative Index as a separate controlled vocabulary under the FRSAD conceptual model to explore topic-centered approach (exploratory work under way by R. Green)
• Investigate mapped terminology from other controlled vocabularies
• Investigate mapped relationships between different classification systems