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ZBW is member of the Leibniz Association
Drawing Context from the Linked Data Web: The 20th Century Press Archives
Joachim NeubertZBW German National Library of Economics –Leibniz Centre for EconomicsELAG 2011Prague25.5.2011
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What are we dealing with?
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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
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Starting point for our Linked Data application
Former 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
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Primary Goals of our application development
1. 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 toother data sources relevant to the domain, in order to enhance user experience.
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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
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Live Demo
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Live Demo
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Live Demo
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Live Demo
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Goal 2 – Providing context and links
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Goal 2 – Provide context and links
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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)
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Live Demo
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Live Demo
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Synonyms lookup for personal names from GND
Live Demo
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Live Demo
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Live Demo
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Live Demo
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Live Demo
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Live Demo
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Live Demo
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Live Demo
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Live Demo
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Live Demo
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Live Demo
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Live Demo
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Live Demo
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External data as an overlay structure
GeoNames provides a hierarchy of geographical objects:
gn:parentFeature generic hierarchygn:parentCountry countrygn:parentADM1 admin unit, 1st level, eg US state gn:parentADM2 admin unit, 2nd levelgn:parentADM3 admin unit, 3rd levelgn:parentADM4 admin unit, 4th levelgn:contains list of child features (rdf document)
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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 paths
on our web site
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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
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Thank you
Joachim NeubertZBW German National Library of Economics –Leibniz Centre for [email protected]
http://zbw.eu/beta/p20
