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Wikidata Conference 2019 GLAM Panel - 20191025

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Slides for the GLAM Panel at WikidataCon 2019 in Berlin, 25. October 2019, on the role of Wikidata within data ecosystems extending beyond the realm of Wikimedia projects. Authors: Susanna Ånäs (Finland); Mike Dickison (New Zealand); Joachim Neubert (Germany); Beat Estermann (Switzerland).

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Wikidata Conference 2019 GLAM Panel - 20191025

  1. 1. GLAM Panel The Role of Wikidata within Data Ecosystems that Extend Beyond the Realm of Wikimedia Projects WikidataCon 2019, 25 October, Berlin
  2. 2. Susanna Ånäs Modelling Places in Cultural Heritage Organisations in Finland Mike Dickison New Zealand Wikipedian at Large Joachim Neubert Donating Data to Wikidata: First Experiences from the 20th Century Press Archive Beat Estermann Linked Open Data Ecosystem for the Performing Arts: Which Place for Wikidata?
  3. 3. Modelling places in cultural heritage organisations in Finland Susanna Ånäs Mikko Lappalainen, National Library of Finland Wikidata Conference 2019
  4. 4. YSO places AHAA - Finnish archives KOOKOS - Finnish museums Wikidata National Land Survey Finnish Names Archive Melinda - Finnish libraries
  5. 5. PLACENAME PLACE SOURCE
  6. 6. YSO places The Finnish General Ontology Finto, the Finnish National Library 7355 places in Finnish and Swedish, 3444 in English, CC0
  7. 7. Place Names Cards The Finnish Geospatial Platform Project The Finnish Land Survey 800 000 map labels as linked open data in Finnish, Swedish, and in 3 Saami languages, CC BY 4.0
  8. 8. The Finnish Names Archive The Institute for the Languages of Finland, 2017 3 M field notes of place names in a Wikibase, mainly in Finnish, some in Swedish, CC BY 4.0
  9. 9. Grönroosinmaa (toponym) dialect form: krööruusimmaa dialect form, locative : krööruusiimmaala Descriptive text: “Linnainmaan tilaan kuuluva pelto, jolla on joskus ollut torppa. Torpan omisti Grönroos-niminen mies. Tilalla on ollut myös veräjä, jota on yleisesti kutsuttu nimellä krööruusivveräjä” located in administrative unit (P131): Kokemäki (Q986409) Related name dialect form: krööruusivveräjä (typed according to pronunciation) nominative / normalised form: Grönroosin veräjä place type: wicket location (P276): Grönroosinmaa location (P276): Kakkulainen (new item), Linnainmaa (new item) Map sheet ID: 114308 Map square X: 21 Map square Y: 45 Pin number: 7 Collection (municipality): Kokemäki Collector: Leila Koivula
  10. 10. Names Sampo HELDIG, SeCo, Kotus, 2018 Aggregated research interface for several place name sources
  11. 11. Modelling for a local Wikibase
  12. 12. A local Wikibase could connect places and names from different sources, provide data to Wikidata and enable multilingual tagging for museums, archives and broadcasting, either directly or via Wikidata. It could serve minority languages with little effort.
  13. 13. time name change area change When does a place become a new item? “The SAPO model” “The Wikidata model”
  14. 14. PLACENAME PLACE SOURCE
  15. 15. PLACENAME PLACE SOURCE entity or property? Wikidata uses properties Land Survey has entities
  16. 16. PLACENAME PLACE SOURCE entity or string? lexeme? Wikidata uses strings Land Survey has entities Wikidata has chosen textual properties over lexemes for names.
  17. 17. Geographical shapes Wikibase does not come equipped with a possibility to use spatial geometries or reasoning. Federation To be able to fully benefit from Wikidata and contribute to it, ontology federation with Wikidata is needed.
  18. 18. Thank you!
  19. 19. NZ Wikipedian at Large Mike Dickison
  20. 20. The project began heavily focussed on Wikipedia…
  21. 21. Edit For Equity 9–14 Oct 2018
  22. 22. …and Commons
  23. 23. Over 1000 original Des Helmore illustrations released by Landcare Research under a CC BY licence
  24. 24. But Wikidata grew and grew, as I and the institutions realised how important it was.
  25. 25. The Kākāpō Project Felix Q12345678 instance of P31 Kākāpō Q179959 New Zealand Department of Conservation
  26. 26. Find NZ Artists Colin McCahon Q5145349 has work in the collection P6379 Archives New Zealand Q4787285 Christchurch Art Gallery
  27. 27. Māori Subject Headings Waka Q1710791 subclass of P279 canoe Q171529 National Library of New Zealand
  28. 28. ZBW is member of the Leibniz Association Donating data to Wikidata: First experiences from the „20th Century Press Archives“ (PM20) Joachim Neubert ZBW – Leibniz Information Centre for Economics, Kiel/Hamburg WikidataCon, Berlin, 25./26.10.2019 GLAM panel
  29. 29. https://commons.wikimedia.org/wiki/File:ZBW-Personenarchiv_2015.jpg by Max-Michael Wannags PM20 - largest public press archives worldwide
  30. 30. Page 3 20th Century Press Archives 25.000 thematic dossiers (c. 1908-1949) about  General subjects and events  Persons  Companies  Products with more than 2 million pages scanned during a DFG funded project 2004-2007 and available online
  31. 31. Long term sustainability? Specialized application for discovery and access, architecturally outdated and expensive to maintain Page 4 http://webopac.hwwa.de/pressemappe20
  32. 32. Moving PM20 to the Linked Open Data Cloud Aims of WikiProject 20th Century Press Archives • link all folders of the collection to Wikidata, providing access to sources to Wikimedia projects and the general public • add metadata from the folders (e.g., persons' birth dates) to the linked Wikidata items ZBW will maintain • Storage of digitized images, accessible via DFG Viewer or, in future, IIIF viewers • Static „landing pages“, which will serve as reference for the metadata integrated into Wikidata Page 5
  33. 33. LOD-based infrastructure for the data donation  Custom SPARQL endpoint with PM20 data  Federated queries on that endpoint and the Wikidata Query Service  Scripts transforming the output to QuickStatements input  Data loading via QuickStatements, complemented with reference statements Blog post on ZBW Labs, with links to all query and script code: http://zbw.eu/labs/en/blog/20th-century-press-archives-data-donation- to-wikidata Page 6
  34. 34. Page 7 Wikidata enrichment from PM20 metadata includes relations between pre-existing items, e.g., for Friedrich Krupp AG (Q679201):
  35. 35. Page 8 First part of ZBW‘s data donation: The Persons Archive - completed  5266 links (P4293) to all existing person dossiers from Wikidata items of these, 1037 items have no other external identifier  More than 6000 statements sourced in PM20 (“birth date”, e.g.)
  36. 36. The next big challenge Page 9 „Map a historic system for the organization of knowledge – materialized as newspaper clippings – about the whole world to Wikidata“
  37. 37. The PM20 countries/topics archive Page 10 Folders are defined as a combination from two hierarchies  Countries (and a few other geo entries – c. 450)  Topical categories (c. 1,400)
  38. 38. Page 11 Thanks! Joachim Neubert ZBW – Leibniz Information Centre for Economics j.neubert@zbw.eu http://zbw.eu/labs https://www.wikidata.org/wiki/User:Jneubert WikiProject 20th Century Press Archives
  39. 39. Linked Open Data Ecosystem for the Performing Arts: Which Place for Wikidata? Prof. Beat Estermann, Bern University of Applied Sciences Wikidata Conference, 25 October 2019 Photo: Phantom black light theatre (theatre group HILT), User:Black light theatre Prague, Wikimedia Commons, CC BY-SA 4.0. Unless otherwise noted, the content of these slides is provided under the CC BY 4.0 copyright license.
  40. 40. Many reports – one call to action Over the past five years, the topic of performing arts metadata has emerged as one of the most pressing issues for the performing arts sector.
  41. 41. Production market The Vision: Many Stakeholders – One Knowledge Base Performing Arts Value Network International Knowledge Base for the Performing Arts Distributed Architecture Key Stakeholders Usage Scenarios Source: Estermann / Julien (2019): A Linked Digital Future for the Performing Arts. CAPACOA in cooperation with the Bern University of Applied Sciences.
  42. 42. Performing Arts Value Network Production market Based on: Bonet, L., & Schargorodsky, H. (2018). “Theatre management: models and strategies for cultural venues”. Policy, 23(2), 159-173.
  43. 43. Stakeholder Requirements Regarding Data Coverage
  44. 44. Architecture of Platforms
  45. 45. concerts State of Implementation
  46. 46. Swiss Performing Arts Database concerts State of Implementation
  47. 47. Swiss Performing Arts Database Wikidata / Wikimedia Commons concerts State of Implementation
  48. 48. Swiss Performing Arts Database Wikidata / Wikimedia Commons Culture Creates concerts State of Implementation
  49. 49. 1. Immediate focus should be placed on populating a Canadian performing arts knowledge graph. 2. Wikidata is complementary to Artsdata.ca; efforts should therefore be undertaken to contribute to its population with performing arts related data. 3. A data governance framework needs to be developed in cooperation with representatives from across the arts sector to establish who is able to share what type of data with whom, and who will have authority over which data/information. 4. Further research is needed to better understand user requirements with regard to the adoption of linked open data practices in existing and emerging service offerings. 5. Further effort is required to develop and describe novel business models that leverage and maintain a well-functioning linked open data ecosystem for the performing arts. Recommendations by the LDFI Advisory Committee
  50. 50. Wikidata and classical LOD are complementary Wikidata Classical LOD Strengths Fully-fledged crowdsourcing platform; further parties can easily be invited to contribute. Data owners keep the control over their «graphs»; data quality and completeness remains under the control of the data provider. Immediate integration with the worldwide linked data cloud (reconciliation at the moment of data ingest) Data can be published in RDF format, is linkable; reconcilation against other databases can be done step by step. Community-supported LOD service with a certain level of reliability Weaknesses Monitoring data quality and completeness is a permanent and challenging task. Third parties cannot readily fix issues related to data quality or completeness that are not taken care of by the data provider. Harmonization of data modelling practices is a challenge. Harmonization of data modelling practices within one’s own «silo» is straightforward, but might be a great challenge to implement across «silos». Perceived «loss of control» by data owners Introducing collaborative data maintenance practices is difficult. Many current LOD services are of questionable reliability.
  51. 51. Wikidata in the wider context of the Linked Open Data Ecosystem for the Performing Arts When it comes to publishing data on Wikidata, priority should be given to data: • where it is unclear who would be the «natural» authority in the given area (on a global scale); • where there is a high potential for enhancing data through crowdsourcing approaches (including community or expert sourcing); • where data is likely to be reused in the context of Wikipedia; • where international coordination to ensure semantic interoperability of the data is unlikely to take place elsewhere. Focus on base registers / authority files and controlled vocabularies first; they facilitate further interlinking of datasets!
  52. 52. From «Sum of All GLAMs» to «Wiki Loves Performing Arts»
  53. 53. From «Sum of All GLAMs» to «Wiki Loves Performing Arts» Sum of All GLAMs Project
  54. 54. From «Sum of All GLAMs» to «Wiki Loves Performing Arts» Sum of All GLAMs Project
  55. 55. COST Action: Linked Open Data Ecosystem for the Performing Arts (LODEPA) Topics to be covered • Coordination of data modelling & ontology development (including controlled vocabularies) • Base registers, authority data • Federation (Wikidata, classical LOD approaches) • Implementation of international campaigns to supplement data on Wikidata • Sharing of infrastructure components • Exchange of best practices regarding governance, skills development and organizational capacity building • Development of business models, international exchange/transfer of services • further topics to be collected through interviews with key stakeholders
  56. 56. Thank you for your attention ! Prof. Beat Estermann Bern University of Applied Sciences Institute for Public Sector Transformation beat.estermann@bfh.ch +41 31 848 34 38 https://linkeddigitalfuture.ca/

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