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Report on Use Cases «LOCAH Project: Map Based Data Visualisation » « Photo museum case »

LLD XG F2F meeting – Pittsburgh – 2010/10/23. Report on Use Cases «LOCAH Project: Map Based Data Visualisation » « Photo museum case ». Archival material specifics. Unique & scattered material, high quantities, very diverse types of content & carriers

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Report on Use Cases «LOCAH Project: Map Based Data Visualisation » « Photo museum case »

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  1. LLD XG F2F meeting – Pittsburgh – 2010/10/23 Report on Use Cases«LOCAH Project: Map Based Data Visualisation »« Photo museum case »

  2. Archival material specifics • Unique & scattered material, high quantities, very diverse types of content & carriers • Wide public (from researchers to general public – genealogists) • Hierachical descriptions + importance of contextual information • Legacy data issue : descriptions are a combination of structured data and semi-structured data, with sometimes consistency / quality issues • Lack of standards for description of unique / specific material

  3. Linked data added value • Provide a « hub » to make it easier to locate relevant material that is scattered across several institutions • Improve browsing experience by better linking items and allowing to discover related material • Linking to external datasource, incl. general interest content (e.g. DBpedia) & library content (documents, authorities)

  4. Vocabularies DC Terms Bibliontology (BIBO) FOAF SKOS RDFS FRBR & wip on ISAD(G) MODS Technology pieces • Technologies • persistent URIs for the key entities • web pages in XHTML containing RDFa • Linked Data RDF/XML • SPARQL endpoints

  5. « community » issues • A lack of examples within particular domain (archives) • A lack of helpful information about how to create a data model • A certain level of expertise is important, to model data and output RDF

  6. LLD XG F2F meeting – Pittsburgh – 2010/10/23 Report on Use Case«Recollection »

  7. Context = NDIIPP (digital preservation) • High quantities of heterogeneous material, scattered among institutions • Goal = enable the discovery of resources • Target = curators, librarians • Application of Linked Data • Give URIs to every resource • Expose as Linked Data • Open source components • Enrichment with external datasets

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