1. The Vocabulary Mapping Framework and its potential for improving metadata interoperability in the Semantic Web. Gordon Dunsire Presented to the EUROVOC Conference, 18-19 November 2010, Luxembourg

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. 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

4. 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

5. 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

6. 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

7. vmf:Adaptor vmf:WordsAdaptor vmf:Translator vmf:SubtitlesTranslator vmf:WordsCreator vmf:TranslatorAndCommentator vmf:Commentator onix:Translated by onix:Translated with commentary by ddex:Translator Ddex:SubtitlesTranslator Mapping to the matrix 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

8. vmf:Adaptor vmf:WordsAdaptor vmf:Translator vmf:SubtitlesTranslator vmf:WordsCreator vmf:TranslatorAndCommentator vmf:Commentatoronix:Translated by onix:Translated with commentary by ddex:Translator ddex:SubtitlesTranslator 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

9. vmf:Adaptor vmf:WordsAdaptor vmf:Translator vmf:SubtitlesTranslator vmf:WordsCreator vmf:TranslatorAndCommentator vmf:Commentator onix:Translated by onix:Translated with commentary 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. From: Godfrey Rust (Rightscom) – How the VMF matrix works, Nov 2009

10. 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

11. 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

12. artistic profession UFactor artist composer cultural worker dancer film-maker musician painter photographer sculptor singer literary profession UFauthor poet writer VMF and Eurovoc roles vmf:Work_CreatorOfWorkvmf:Conceiver_Concept

13. Beyond roles  Rightscom believes the VMF matrix approach can be extended to cover all kinds of topic  Not just roles  Hub-and-spoke architecture  High-Level Thesaurus (HILT) project used Dewey Decimal Classification as hub  And others  E.g. Soergel proposes faceted classification hub  Topic clusters = concept families?

14. Thank you  gordon@gordondunsire.com  http://cdlr.strath.ac.uk/vmf/