Finnish National Bibliography Fennica as Linked Open Data (HELDIG Summit)

This was a presentation of Fennica Linked Data at the HELDIG Summit in Helsinki, Finland on 23 October 2018. It was a rehash and update on the SWIB17 talk with the same title. It introduced the Fennica-LD SPARQL query form with some example queries and their results.

Google Slides: https://tinyurl.com/fennica-ld-heldig

Transcript

1. Finnish National Bibliography Fennica as Linked Open Data Osma Suominen HELDIG Summit, 23 October 2018
2. NATIONAL BIBLIOGRAPHY with apologies to Scott Adams
3. Why? 1. Making our data more visible, also internationally 2. Improving the quality and interoperability of our metadata 3. Building competency for the future 4. Why not? :)
4. bib record bib record bib record bib record auth record auth record auth record bib record bib record auth record auth record auth record 1M bib records 125k person names 40k corporate names 35k subjects (YSA) bib record bib record
5. bib record bib record bib record bib record auth record auth record auth record bib record bib record auth record auth record auth record Work Instance Person Subject 1M bib records 125k person names 40k corporate names 35k subjects (YSA) bib record bib record Place Organization
6. Work Instance Person Subject Image credit: MaryMaking blog bib record bib record bib record bib record auth record auth record auth record bib record bib record auth record auth record auth record 125k person names 40k corporate names 35k subjects (YSA) bib record bib record 1M bib records
8. As seen in: SWIB16 talk DCMI webinar o-bib journal article “From MARC silos to Linked Data silos”
9. with separate Works and Instances like BIBFRAME, as enabled by the bibliographic extensions because it allows us to describe our resources from a common-sense, Web user perspective (and we get a metadata haircut for free!) Special thanks to Richard Wallis for help with applying schema.org!
10. MARC Linked Data ?
11. MARCXML BIBFRAME RDF Schema.org RDF Linked to external URIs MARC / Aleph seq With deduplicated works Work keys With deduplicated agents Agent keys Convert & clean using Catmandu Convert using marc2bibframe2 Convert to Schema.org using SPARQL CONSTRUCT YSA subjects YSO subjects Corporate names RDA Media, Content, Carrier Link against controlled vocabularies using SPARQL Generate work keys for merging using SPARQL Merge works using SPARQL Merge agents (person, org) using SPARQL RDF store https://github.com/NatLibFi/bib-rdf-pipeline
12. Data dump downloads Publishing as Linked Open Data for human & machine access RDF HDT Jena Fuseki bib-lod-ui Flask app HTML+JSON-LD OpenSearch API Linked Data RDF RDF store RDF N-Triples MARC records Linked Data Fragments server SPARQL LDF
13. Demo http://data.nationallibrary.fi/bib/me/W00009584100
14. Downloadable dumps
15. Data model documentation
16. Challenges
17. Identity management Libraries have traditionally managed identities (e.g. persons, works, places, subjects) by using authorized names and headings - i.e. strings. This is a fragile way to assert identity. It would be better to represent things and give them persistent identifiers. This is not yet standard practice in MARC. We have a relatively large number of duplicate persons and works in the data set: • cannot know for certain if persons with the same name are really the same • extracting works from traditional bibliographic records is a hard problem
18. “Cool URIs don’t change” -- Tim Berners-Lee ...but we rely on conversion of MARC records that change all the time!
19. Linking Work Instance Person Subject Place Organization LCSH Finnish Place Name Registry Wikidata
20. Linking Work Instance Person Subject Place Organization LCSH Finnish Place Name Registry Wikidata WorldCat Other national libraries WorldCat Works LIBRIS XL ISNI VIAF ISNI Wikidata
21. Opportunities
22. SPARQL endpoint http://data.nationallibrary.fi/bib/sparql
23. Persons featured in >100 works
24. What next? 1. Enriching and cleaning the RDF data, e.g. using subclasses like Map 2. More links to other Linked Data sets 3. Expanding to new data sets: Viola discography, Arto article database
25. Thank you! Questions? osma.suominen@helsinki.fi - @OsmaSuominen http://data.nationallibrary.fi - @NatLibFiData Code: https://github.com/NatLibFi/bib-rdf-pipeline https://github.com/NatLibFi/bib-lod-ui These slides: http://tinyurl.com/fennica-ld-heldig