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Schemas and Schema-driven Metadata Software

Dr Stephen Crawley, eResearch Group, ITEE University of Queensland. Schemas and Schema-driven Metadata Software. What should be in a Schema?. Element names, labels, descriptions Element values: types / patterns / value sets Structures: flat / tree / graph, cardinality, etc

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Schemas and Schema-driven Metadata Software

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  1. Dr Stephen Crawley,eResearch Group, ITEE University of Queensland Schemas and Schema-driven Metadata Software

  2. What should be in a Schema? • Element names, labels, descriptions • Element values: types / patterns / value sets • Structures: flat / tree / graph, cardinality, etc • Complex constraints • Relationships with other schemas: inheritance, subtyping, composition, etc • Semantics: relationships with ontologies. • Schema versioning ...

  3. Scope for Schema-driven Apps • Metadata entry and display • Validation of metadata • Mapping between metadata representations: • XML vs RDF vs <meta> vs ... • need representation independent schemas • Metadata conversion / schema versions • Extracting / harvesting metadata from other sources

  4. Recent eResearch Group Tools • ARCHER metadata tools: • MDE: a schema driven (XML) metadata editor • MSF: tools for defining metadata schemas • MDSR: simple metadata schema repository • Pronto ontology repository • DIAS-B tools: • Danno annotation repository (annotea + ...)‏ • Dannotate annotation tool • LORE annotation tool. • SourceForge project: “metadata-net”

  5. Future Work • Schema-driven annotation tools • Annotation of objects (vs web pages) • Annotation of images, maps, etc • Integrate MDE/MSF and Danno/Dannotate • Support for more schema types in Pronto • Stand-alone editing, repository components • Completing the Annotea specification • Annotation schema work

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