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LOD4JS - Linked Open Data for Jewish Studies

Presentation at the AJL 2020 Digital Conference

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LOD4JS - Linked Open Data for Jewish Studies

  1. 1. LOD4JS Linked Open Data for Jewish Studies A DiJeSt Project Yael Netzer, Kepa Rodriguez, Sinai Rusinek The project DiJest was supported by Rothschild Foundation Hanadiv Europe slides:
  2. 2. DiJeSt Data: - becoming more connected!
  3. 3. Catalogues as data Traditional objectives of catalogues and authority files (among others): - search a book, discover a book - search by author, place, subject - indexing the inventory Catalogues are bodies of knowledge that change in time Our objective and methodology: Transfer catalogues/authority files into tables Understand content as a whole Inspect variations and unify values such as dates and place names View information in additional perspectives: “distant reading” Digital Humanities concept Derive new representations (e.g., Linked Open Data, maps)
  4. 4. Reading Authority Files - People Starting point: Israeli National Library authority file heb100.xml July 2018 (marc/xml file) 203,771 Entities
  5. 5. Reading Catalogues: Bibliography of the Hebrew Book Small sized (107977 records), comprehensive, importance (authority) But: messy, not machine readable (names, dates, places etc.) No mapping to the authority files of NLI: We did it using OpenRefine
  6. 6. Reading Authority File: Places Connect place names in catalogue to place authority files, following previous work on Kima (by Sinai Rusinek)
  7. 7. Process 1. Identify relevant fields, subfields, indicators in marc(xml,json)from NLI 2. Map into columns using python code 3. Inspect with OpenRefine 4. Back to 1 until satisfied with results
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  9. 9. OpenRefine - A powerful tool - Faceting and clustering - Many knowledge representation formats - Easy identification of errors and inconsistencies - Built-in functions, possible usage of python (jython), closure - Easy API calls, collect and add information - Reconciliation with external, LOD resources - Various exporting options, including generation of linked data (RDFs) - Open source, resourceful community, FAIR principles
  10. 10. Collection as Data
  11. 11. Data model: framework and ontologies (1) When we designed our model, we decided: ● To make our data available for reuse: open data sharing policy. ● To make our data understandable for computers (machine-actionable). ● To make possible to navigate from our data to other resources. ● Expose our data as Linked Open Data (LOD).
  12. 12. Data model: framework and ontologies (2) LOD uses the Resource Description Framework (RDF) to describe the data as subject-predicate-object triples. ● djr:book_152786 dcterms:creator djr:person_1403804 ○ “The book with ID 152786 was created by the person with ID 1403804” ○ The author of “‫במלכודת‬ ‫”נערות‬ is Mordechai Narkis We use standard ontologies to model our entity types. That increases understandability for non-human agents. ● Authorities: ○ Person: skos,, dbpedia, rdaregistry, eac-cpf ○ Place: skos,, wgs84_pos ● Books: ○ Dublin core terms, fabio, GND, bibframe
  13. 13. Data model: framework and ontologies (3)
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  15. 15. What can be done with it? eLinda ● ● With Oren Mishali, Technion Data & Knowledge Lab (TD&K) ●
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  22. 22. Vision Connect with other LOD resources: Jewish Book Shelf Judaica link Wikidata Epidat Future projects: Expand the model to also represent: ● Book copies - library holdings ● Book copies can be owned and censored by people (Footprints) ● Works: model Ben Yehuda Project ● Places: model KIMA Include authorities for Publishers and Printers (NLI)
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  24. 24. DiJeSt.netUsing Kima and CartoDB to create an interactive map of BHB
  25. 25. label: ‫!תודה‬ alternativeLabel: !‫תודה‬ alternativeLabel: thank you! This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.