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The Vocabulary Mapping Framework matrix. Gordon Dunsire Presented to the Workshop on Conceptual Modelling for Archives, Libraries and Museums 28-29 Jan 2010, National Gallery, Helsinki. Vocabulary Mapping Framework. Funded by UK’s Joint Information Systems Committee (JISC)

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The vocabulary mapping framework matrix

The Vocabulary Mapping Framework matrix

Gordon Dunsire

Presented to the Workshop on Conceptual Modelling for Archives, Libraries and Museums

28-29 Jan 2010, National Gallery, Helsinki


Vocabulary mapping framework
Vocabulary Mapping Framework

  • Funded by UK’s Joint Information Systems Committee (JISC)

    • Only first stage funded

  • Major expansion of the RDA/ONIX framework for resource categorization

    • To create a tool to support the automated mapping of vocabularies from metadata standards of use to the JISC community

    • Research, teaching, learning environments

  • Project conducted during second half of 2009


A starting point rda outreach
A starting point: RDA outreach

  • Resource Description and Access

  • RDA outreach to other communities

    • RDA/ONIX framework

      • RDA and publishing community

    • DCMI (Dublin Core Metadata Initiative) RDA Task Group

      • Members from Dublin Core, IEEE-Learning Object Metadata, RDA, and W3C communities

    • Expressing RDA element set and value vocabularies in Resource Description Framework (RDF)

      • See D-Lib Magazine January/February 2010


Rda alignment
RDA alignment

  • RDA alignment with recent metadata models developed by IFLA (International Federation of Library Associations and Institutions)

    • Functional Requirements for Bibliographic Records (FRBR)

    • Functional Requirements for Authority Data (FRAD)

    • Statement of International Cataloguing Principles

  • Stimulated IFLA project to develop RDF representation of FRBR (entity-relationship) model

    • RDF awaiting final approval


Other ifla activity
Other IFLA activity

  • Study group to consider RDF/XML representation of International Standard Bibliographic Description (ISBD)

    • Model underpinning many national cataloguing schema, including MARC21

  • Task group to consider general support for RDF/XML namespaces for IFLA “standards”

  • Consolidation of “FR” family of models, including Functional Requirements for Subject Authority Data (FRSAD) when finalised (2010+)


Linked data 2009 mostly
Linked data (2009, mostly)

  • Increasing presence of “expert” metadata in the linked data pool

  • Library of Congress Subject Headings (LCSH)

    • With relators to Rameau (French subject heading scheme) terms

  • Top-level Dewey Decimal Classification (DDC) notations and captions (1000+)

    • In 9 languages

  • Top-level Universal Decimal Classification (UDC) notations and captions real soon now


Opportunities and possibilities
Opportunities and possibilities

  • If metadata schema (MARC21, UNIMARC, RDA, ISBD) in RDF

    • Then easier to parse instance data (catalogue records) into RDF

  • If very large quantities of legacy instance data available in RDF

    • Then latent associations (relationships) can be identified using statistical inferencing

      • E.g. Mapping of DDC notations to LCSH (WebDewey)

  • If critical mass of rich (diverse) RDF triples

    • Then utility of Semantic Web increases


Vmf requirements
VMF requirements

  • VMF goal is to automatically compute the “best fit” mappings between any two pre-defined vocabularies

  • Scalable and extensible to accommodate new and changing vocabularies

  • Flexible to allow engagement by different communities in various stages of vocabulary development and mapping

  • Non-prescriptive to encourage uptake

    • And allow use beyond VMF (and RDF) environment


Vmf vocabularies
VMF vocabularies

  • FRAD, FRBR, MARC21, RDA (libraries)

  • ONIX (book/serials publishing)

  • DDEX (recorded music)

  • Dublin Core (web metadata)

  • LOM SCORM (education)

  • DOI (any content)

  • CIDOC CRM (museums and archives)

  • MPEG21 RDD (digital rights)

  • RDA ONIX Framework (libraries and publishing)

  • Focus on Resource and Party (Agent) categories and relators between them

    • Increasing use of relators instead of attributes


  • Vmf data model
    VMF data model

    • Based on Rightscom’s COA model, which grew from the <indecs> framework

      • Has much in common with FRBR and CIDOC CRM

    • Terms are mapped into an ontology (the VMF matrix) built up from “families” of concepts based on verbs

    • Concept families provide all possible points (“nodes”) in the VMF matrix for vocabulary terms to be mapped.

      • Nodes are generated automatically


    Concept family
    Concept family

    • Accommodates terms for roles, bi-directional relator pairs, uni-directional relators (properties), classes and attributes

    • FRBR class “Choreography”

      • vmf:ChoreographedDance

    • RDA role “choreographer”

      • vmf:ChoreographedDance_DanceChoreographer

    • RDA/ONIX attribute “language”

      • vmf:LexicalWork

    • DDEX role “Author”

      • Vmf:LexicalWork_Writer


    vmf:WordsCreator

    vmf:Adaptor

    vmf:WordsAdaptor

    vmf:Commentator

    vmf:Translator

    vmf:SubtitlesTranslator

    vmf:TranslatorAndCommentator

    Mapping to the matrix

    Every term in a vocabulary is given an equivalent term in a VMF concept family…

    onix:Translated by

    ddex:Translator

    Ddex:SubtitlesTranslator

    onix:Translated with

    commentary by

    From: Godfrey Rust (Rightscom) – How the VMF matrix works, Nov 2009


    Mapping scheme to scheme

    Queries can then be used to find the “best fit” mappings between two terms or complete vocabularies.

    vmf:WordsCreator

    vmf:Adaptor

    vmf:WordsAdaptor

    vmf:Commentator

    onix:Translated by

    vmf:Translator

    ddex:Translator

    vmf:SubtitlesTranslator

    ddex:SubtitlesTranslator

    vmf:TranslatorAndCommentator

    onix:Translated with

    commentary by

    From: Godfrey Rust (Rightscom) – How the VMF matrix works, Nov 2009


    Mapping scheme to scheme

    Queries can then be used to find the “best fit” mappings between two terms or complete vocabularies.

    vmf:WordsCreator

    vmf:Adaptor

    vmf:WordsAdaptor

    onix:Translated by

    vmf:Commentator

    vmf:Translator

    ddex:Translator

    vmf:SubtitlesTranslator

    Ddex:SubtitlesTranslator

    onix:Translated with

    commentary by

    vmf:TranslatorAndCommentator

    From: Godfrey Rust (Rightscom) – How the VMF matrix works, Nov 2009


    Vmf matrix
    VMF matrix

    • Available (some constraints) from:

      • http://cdlr.strath.ac.uk/VMF/documents.htm

    • Contains approximately:

      • 10 schemes

      • 53 vocabularies mapped in whole or part

      • 500+ concept families

      • 8000+ unique terms

      • 30,000+ RDF triples

    • RDF triples in TTL format

      • With or without sample vocabulary mappings

    • Some documentation also available


    Some applications
    Some applications

    • Metadata cross-walks

      • Between different vocabularies

        • E.g. Publisher metadata (ONIX) and library metadata (RDA)

    • Mapping of local, bespoke metadata schemes

      • From local scheme to global framework

      • Local metadata often specialised, specific, and unique


    Identification
    Identification

    • VMF namespace URI for every mapped vocabulary term

      • Linked to published (scheme) URI for term

      • Scheme URI to be used as external referent

        • VMF is a black box

    • If term not mapped within VMF

      • Add to VMF

        • Forces review of internal VMF mappings

        • If no scheme URI, use VMF URI as referent?

      • Map to term already mapped within VMF

        • owl:equivalentClass; owl:equivalentProperty


    Thank you
    Thank you

    • [email protected]

    • VMF website

      • http://cdlr.strath.ac.uk/VMF/


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