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The ABC Metadata Ontology and Model

The ABC Metadata Ontology and Model. Carl Lagoze, Cornell University Jane Hunter, DSTC. Some URLs. This talk http://metadata.net/harmony/dc2001.ppt Latest paper version (JODI submission) http://metadata.net/harmony/JODI_Final.pdf Harmony project http://metadata.net/harmony.

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The ABC Metadata Ontology and Model

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  1. The ABC Metadata Ontology and Model Carl Lagoze, Cornell University Jane Hunter, DSTC

  2. Some URLs • This talk • http://metadata.net/harmony/dc2001.ppt • Latest paper version (JODI submission) • http://metadata.net/harmony/JODI_Final.pdf • Harmony project • http://metadata.net/harmony

  3. Harmony Project • DSTC/JISC/NSF funding • Assumption • There is no lingua franca for metadata (Warwick Framework to RDF and XML namespaces) • Although things like DC may provide basis for pidgin exchange • Goal • Investigate common principles and concepts underlying multiple descriptive models

  4. ABC Goals • Conceptual basis for understanding and analyzing existing metadata vocabularies and models • Provide conceptual guidance to communities developing metadata models • Provide a basis for mapping among vocabularies and models

  5. DCMI MPEG-7 CIDOC/CRM INDECS CIMI RDF DAML Conceptual Graphs IFLA FRBR Roots and Collaborations

  6. ABC Model Overview • (Digital) objects have inherent lifecycle characteristics • Model creation, evolution, and transformation of objects over time. • Notions of temporality are given first-class status • Measuring utility of metadata through query-ability • Ability to answer who, what, when, where comments that are difficult in simpler models

  7. ?

  8. “Orest Vereisky” “Leo Tolstoy” “Margaret Wettlin” "Moscow" “illustrator” “author” “translator” “1828” “1877” “1978” “creation” “translation” “Russian” “English” “Tragic adultery andthe search for meaningfullove” “Anna Karenina”

  9. Entities and their Properties • Entities are anchor points for set of properties • Entities "change" by modification of property sets • Model does not distinguish between "change of nature" and "change of description" • Dual facets of Entities • Universal – object and its property set that is "global" to the description • Existential – object instances and their property sets that are periodic ("stateful")

  10. Situations • Establish a time period • granularity determined by the longevity of entity state within situation • Situations and actualities • Situations provide context for associating entities in their existential facet. • Entities can exist out of situation to express their universal properties

  11. Events • Transition marker point between situations • Always have a time property • Levels of increasing knowledge • Something happened at a time (that caused change in situation) • Type thing happened at some time • Anchor point for multiple actions (verbs) within a happening.

  12. Events, Actions, Agents • Events provide a context for associating actions ("verbs"), 1-n • Actions provide a context for participation of agents, 1-n • Participation type can be specialized for domain

  13. Causality – verbs & predicates • Association of actions to Actualities in preceding situation is weak • Increasing knowledge of association (esp. important in rights management) • involves • hasTool • hasPatient

  14. Intellectual Property • Notion of "ability to copy" is the determining factor • Promote abstraction to work and actuality to manifestation and item

  15. Querying instances of the model • Goal: ability to ask questions like “show me all the translations of War and Peace between 1980 and 1990” • Squish query language – SQL like • http://swordfish.rdfweb.org/rdfquery/ • RDQL – plug in of query mechanism to RDF API • http://www-uk.hpl.hp.com/people/afs/RDQL/ • DSTC XML query interface • http://www.metadata.net/harmony/Demos.htm

  16. Future Work • ABC API built on top of Jena • http://www.hpl.hp.com/semweb/jena-top.html • Workflow modeling – tracking provenance • “Story telling” description user interface

  17. Asking the big questions • How much metadata is needed? • What is the use of metadata (search engine architecture & query issues)? • What are the tradeoffs between human effort and automatic generation (economic issues)? • What are proper models for the proper contexts?

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