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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


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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

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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.

  • n Dublin Core and Metadata Applications

2010

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  • 1. FRBR and Classification Systems

Modelling versions of a classification system

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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

  • f a classification

system

  • - Using DDC as an

examlple A top-level view of the different versions of the DDC emanating from DDC 22

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Classification Systems & FRBR Model

  • 1. What is the “Work”?

 Is it the system as a whole (“DDC”), or an

edition of the system (“DDC 22”)?

 Does this vary by system to be modelled?

  • 2. How should the entities expression,

manifestation and item be applied to classification systems?

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Classification as work Edition as work

W E M

embodied in

When dealing with multiple versions ...

W E M

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More relationships introduced -- Another example

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  • 2. FRSAD and Classification Systems

Modelling the subject relationship, aboutness

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  • 1. FRSAD Conceptual Model
  • The core of the FRSAD conceptual model

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".

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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

Note: in a given scheme and within a domain, a nomen should be an appellation of only one thema.

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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

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THEMA –TO –THEMA RELATIONSHIPS within one classification system thema@schemeS nomen(s)

Semantic relationships are established among themas:

  • hierarchical
  • associative
  • ther-specific if

needed

thema thema thema thema thema thema nomen(s) nomen(s) nomen(s)

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DDC in FRSAD

  • Each DDC class corresponds to a thema
  • Notation associated with the class is a nomen
  • Thema is the full category description of the class
  • Nomen is the symbol (or surrogate) used to represent the full

category description:

  • dewey.info URI
  • hierarchically contextualized caption
  • Relative Index (RI) terms corresponding to functionally

equivalent topics

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‘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

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Thema: Class 025.04

“including” “class here” “class elsewhere”

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Thema: Class 025.04

Thema-thema relationships

associative relationship associative relationship (poly)hierarchical relationship topics that are functionally equivalent to the class

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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

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Alternative nomens: Relative Index terms with equivalence relationship to class

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More Classification Systems

 Universal Decimal Classification (UDC)  Mathematics Subject Classification (MSC) 2010  WHO International Statistical Classification of Diseases and Related Health

Problems (ICD-10)

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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.

  • Facets. Citation order. Filing order. Notation

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

  • classifications. Special thesauruses

Source: UDC English Edition online http://www.udc-hub.com/en/login.php

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Mathematics Subject Classification (MSC) 2010 - example

Source: http://www.ams.org/msc/msc2010.html?t=62- XX&btn=Current

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WHO International Statistical Classification of Diseases and Related Health Problems (ICD-10) -- example

source: http://apps.who.int/classifications/icd10/browse/2016/

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What is the motivation?

Clarifying and understanding

 Thema vs. Nomen  Appropriate allocation of attributes and relationships  The structure

→ Enables

 Mapping  Linking  Aligning

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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

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They LOOK similar. But are they the same thing?

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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).

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recruitment From XYZ (URI hidden from display in this ppt)

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recruitment

http://vocabs.lter- europe.net/EnvThes/USLterCV_458.html

Possible reasons:

  • Automatic label mapping
  • Did not validate the broader concepts – wrong family
  • Did not have narrower concepts for double checking.

The extension of a concept can help to identify the intension (meaning) of the concept. (URI hidden from display in this ppt) From XYZ

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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

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Features:

  • Each thema in a scheme is mapped

from individual themas (including built and post- coordinated) from other sources.

  • Any thema retains its own semantic

relations.

  • The degree of matching is indicated.

Advantages:

  • nomens can be changed or added

easily (e.g., another language version)

  • new KOS can be included

continuously

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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

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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

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User Tasks

  • Find
  • Identify
  • Select
  • Obtain
  • Explore
  • Confirm end-user focus
  • f the model
  • Library internal

processes are not reflected in the tasks

  • Reworded definitions to

be more general

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 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.

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Appellation relationship

RES has appellation is appellation of NOMEN M to M

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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

  • wns

AGENT M to M ITEM was modified by modified AGENT M to M

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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

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Next steps

  • Review by IFLA Cataloguing, Classification and Indexing, and

Bibliography sections

  • World-wide review in early 2016
  • Final approval in 2016
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MAJA ŽUMER UNIVERSITY OF LJ UB LJ ANA, SLOVENIA & MARCIA LEI ZENG KENT STATE UNIVERSITY, USA

Application of FRBR and FRSAD to classification systems

THANK YOU!