Drawing Context from the Linked Data Web: The 20th Century Press Archives (Joachim Neubert)
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Drawing Context from the Linked Data Web: The 20th Century Press Archives (Joachim Neubert)

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Drawing Context from the Linked Data Web: The 20th Century Press Archives (Joachim Neubert) Drawing Context from the Linked Data Web: The 20th Century Press Archives (Joachim Neubert) Presentation Transcript

  • Drawing Context from the Linked Data Web:The 20th Century Press ArchivesJoachim NeubertZBW German National Library of Economics –Leibniz Centre for EconomicsELAG 2011Prague25.5.2011 ZBW is member of the Leibniz Association
  • What are we dealing with? Page 2
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  • What are we dealing with?Historic Press Archives, founded in 1909 (Hamburg) and 1914 (Kiel) Some material dating back to 1826 Collections closed in 2005Thematic dossiers covering Persons Companies Products General subjects and events Page 6
  • Starting point for our Linked Data applicationFormer DFG funded project, resulting in Digitized roll films (material before 1949) Relational database about dossiers Big filesystem  currently containing 250,000 publicly accessible documents  roughly 650,000 pages Page 7
  • Primary Goals of our application development1. To give each and every collection, dossier, document, page and even search result set a persistent identifier for citation and linking, in order to support scholarly use.2. To provide context from metadata on the web to users and link to other data sources relevant to the domain, in order to enhance user experience. Page 8
  • Goal 1 – Minting Identifiers Achieved through  Nested OAI-ORE Aggregations  Resource Maps expressed in RDFa  which provides also user navigation paths and the API => Plain, bare structure Page 9
  • Li ve Dem o Page 10
  • Li ve Dem o Page 11
  • Li ve Dem o Page 12
  • Li ve Dem o Page 13
  • Goal 2 – Providing context and links Page 14
  • Goal 2 – Provide context and links Page 15
  • Goal 2 – Providing context and links (cont.)Enhanced user experience through Biographical dossiers with  DBpedia abstracts and thumbnails  Links to GND  Links to VIAF Company dossiers with  Links to GeoNames and geospatial information Documents with  Links to Chronicling America (US newspaper archives) Page 16
  • Li ve Dem o Page 17
  • Li ve Dem o Page 18
  • Li ve DemSynonyms lookup for personal names from GND o Page 19
  • Li ve Dem o Page 20
  • Li ve Dem o Page 21
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  • Li ve Dem o Page 23
  • Li ve Dem o Page 24
  • Li ve Dem o Page 25
  • Li ve Dem o Page 26
  • Li ve Dem o Page 27
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  • Li ve Dem o Page 29
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  • Li ve Dem o Page 31
  • External data as an overlay structureGeoNames provides a hierarchy of geographical objects:gn:parentFeature generic hierarchygn:parentCountry countrygn:parentADM1 admin unit, 1st level, eg US stategn:parentADM2 admin unit, 2nd levelgn:parentADM3 admin unit, 3rd levelgn:parentADM4 admin unit, 4th levelgn:contains list of child features (rdf document) Page 32
  • External data as an overlay structure (cont.)gn:nearbyFeatures list of nearby features (rdf document)owl:sameAs dbpedia“Import” GeoNames hierarchy to organize our own data for providing  enhanced resource discovery and  additional user navigation pathson our web site Page 33
  • So – what can we do with Linked Data? Enrich web sites with information curated elsewhere Provide multi-lingual contents Support resource discovery through authority files, thesauri, synonym lists, etc. Exploit addtional structure imported from Linked Data sources into our applications Page 34
  • Thank youJoachim NeubertZBW German National Library of Economics –Leibniz Centre for Economicsj.neubert@zbw.euhttp://zbw.eu/beta/p20 Page 35