The vocabulary mapping framework matrix
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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

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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


    The vocabulary mapping framework matrix

    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


    The vocabulary mapping framework matrix

    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


    The vocabulary mapping framework matrix

    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

    • g.dunsire@strath.ac.uk

    • VMF website

      • http://cdlr.strath.ac.uk/VMF/


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