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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 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
slide12
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

slide13
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

slide14
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
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