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The Vocabulary Mapping Framework matrix

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Presentation on theme: "The Vocabulary Mapping Framework matrix"— Presentation transcript:

1 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

2 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

3 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

4 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

5 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+)

6 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

7 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

8 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

9 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

10 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

11 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

12 vmf:TranslatorAndCommentator
Mapping to the matrix Every term in a vocabulary is given an equivalent term in a VMF concept family… vmf:Adaptor vmf:WordsAdaptor vmf:Translator vmf:SubtitlesTranslator vmf:WordsCreator vmf:TranslatorAndCommentator vmf:Commentator onix:Translated by ddex:Translator Ddex:SubtitlesTranslator onix:Translated with commentary by From: Godfrey Rust (Rightscom) – How the VMF matrix works, Nov 2009

13 ddex:SubtitlesTranslator vmf:TranslatorAndCommentator
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

14 Ddex:SubtitlesTranslator vmf:TranslatorAndCommentator
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

15 VMF matrix Available (some constraints) from: Contains approximately:
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

16 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

17 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

18 Thank you g.dunsire@strath.ac.uk VMF website


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