the vocabulary mapping framework and its potential for improving metadata interoperability in the...
TRANSCRIPT
The Vocabulary Mapping Framework and its potential for
improving metadata interoperability in the Semantic Web.
Gordon DunsirePresented to the EUROVOC Conference,
18-19 November 2010, Luxembourg
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 categorizationTo create a tool to support the automated mapping of
vocabularies from metadata standards of use to the JISC community
Research, teaching, learning environmentsProject conducted during second half of 2009
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 uptakeAnd allow use beyond VMF (and RDF) environment
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 themIncreasing use of relators instead of attributes
VMF data model
Based on the Contextual ontology architecture (COA) model developed by Rightscom, the leader of the VMF project
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”) to which terms might be mapped.Nodes are generated automatically
Concept familyAccommodates terms for roles, bi-directional relator pairs,
uni-directional relators (properties), classes and attributesFRBR class “Choreography”
vmf:ChoreographedDanceRDA role “choreographer”
vmf:ChoreographedDance_DanceChoreographerRDA/ONIX attribute “language”
vmf:LexicalWorkDDEX role “Author”
vmf:LexicalWork_Writer
vmf:Adaptor
vmf:WordsAdaptor
vmf:Translator
vmf:SubtitlesTranslator
vmf:WordsCreator
vmf:TranslatorAndCommentator
vmf:Commentator onix:Translated by
onix:Translated withcommentary by
ddex:Translator
Ddex:SubtitlesTranslator
Mapping to the matrix
Every term in a vocabulary is given an equivalent term in a VMF concept family…
Every term in a vocabulary is given an equivalent term in a VMF concept family…
From: Godfrey Rust (Rightscom) – How the VMF matrix works, Nov 2009
vmf:Adaptor
vmf:WordsAdaptor
vmf:Translator
vmf:SubtitlesTranslator
vmf:WordsCreator
vmf:TranslatorAndCommentator
vmf:Commentator onix:Translated by
onix:Translated withcommentary by
ddex:Translator
ddex:SubtitlesTranslator
Queries can then be used to find the “best fit” mappings between two terms or complete vocabularies.
Queries can then be used to find the “best fit” mappings between two terms or complete vocabularies.
Mapping scheme to scheme
From: Godfrey Rust (Rightscom) – How the VMF matrix works, Nov 2009
vmf:Adaptor
vmf:WordsAdaptor
vmf:Translator
vmf:SubtitlesTranslator
vmf:WordsCreator
vmf:TranslatorAndCommentator
vmf:Commentator onix:Translated by
onix:Translated withcommentary by
ddex:Translator
Ddex:SubtitlesTranslator
Mapping scheme to scheme
Queries can then be used to find the “best fit” mappings between two terms or complete vocabularies.
Queries can then be used to find the “best fit” mappings between two terms or complete vocabularies.
From: Godfrey Rust (Rightscom) – How the VMF matrix works, Nov 2009
VMF matrixAvailable (some constraints) from:
http://cdlr.strath.ac.uk/VMF/documents.htmContains approximately:
10 schemes53 vocabularies mapped in whole or part500+ concept families8000+ unique terms30,000+ RDF triples
RDF triples in TTL formatWith or without sample vocabulary mappings
Some documentation also available
Applications
Metadata cross-walksBetween different vocabularies
E.g. Publisher metadata (ONIX) and library metadata (RDA)
Mapping of local, bespoke metadata schemesFrom local scheme to global frameworkLocal metadata often specialised, specific, and
unique
artistic profession
UF actorartistcomposercultural workerdancerfilm-makermusicianpainterphotographersculptorsinger
literary profession
UF authorpoetwriter
VMF and Eurovoc roles
vmf:Work_CreatorOfWork vmf:Conceiver_Concept
Beyond roles
Rightscom believes the VMF matrix approach can be extended to cover all kinds of topicNot just roles
Hub-and-spoke architectureHigh-Level Thesaurus (HILT) project used Dewey
Decimal Classification as hubAnd others
E.g. Soergel proposes faceted classification hub
Topic clusters = concept families?
