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Estermann performing arts_database_20180721

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Building an International Knowledge Base for the Performing Arts, Presentation Slides, Wikimania 2018, Cape Town, 21 July 2018

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Estermann performing arts_database_20180721

  1. 1. Building an International Knowledge Base for the Performing Arts Beat Estermann, Cape Town, 21 July 2018 ▶ Bern University of Applied Sciences, E-Government Institute La Traviata at the The Royal Opera House Muscat. Photo: Khalid AlBusaidi (CC BY-SA 4.0) Unless otherwise noted, the content of these slides is provided under the CC BY 4.0 license.
  2. 2. ▶ The Vision ▶ State of Implementation ▶ Developing Knowledge as a Service ▶ Thoughts on Enhancing Knowledge Equity Contents
  3. 3. The Vision
  4. 4. ▶ Realize an international performing arts database on the basis of Wikidata ▶ Provide a powerful finding aid for performing arts related content on Wikimedia Commons ▶ Promote Wikidata-powered performing arts related information in the various language versions of Wikipedia ▶ Get heritage institutions to make their performing arts related data and content available through Wikidata & Wikimedia Commons The Vision: International Database for the Performing Arts Role Model Projects for Inspiration: • MusicBrainz (music recordings) • IMDb (movies) • IMSLP (music scores) • Operabase (opera)
  5. 5. In the Footsteps of Leroy Ehrenreich (1929-2016) Roy Ehrenreich in 1981 during a trip in Nepal. Unidentified photographer. All rights reserved. • Approx. 15’000 hours of audio recordings on reel-to- reel tapes (bootleg live recordings; recordings of broadcasts and copies of rare LPs and CDs). • Mostly classical opera repertoire (full operas and recitals) • Coverage: performances worldwide, with a strong focus on NYC, mostly between 1960s and 2000s • 2016: collection bequeathed to Bern University of the Arts
  6. 6. The Collection Today Photos: Beat Estermann (CC BY 4.0)
  7. 7. ▶ Large-scale sharing of official and boot-legged recordings on Youtube, etc. ▶ Several online databases in the area of opera ▶ Linked data / web of data ▶ Increasing numbers of recordings are out of copyright What has not changed, though: ▶ Most recordings are under copyright; it is unlikely that they will be released under a free license in the near future. ▶ There are many unofficial recordings and/or releases of opera- related content ▶ In the U.S. the principle of “fair use” applies for research and education; similar exceptions apply in countries with continental European legal tradition. The World Has Changed Since the 1960s…
  8. 8. Building a Performing Arts Platform for Research & Education
  9. 9. State of Implementation 2018
  10. 10. State of Implementation Swiss Performing Arts Database Wikidata / Wikimedia Commons
  11. 11. In the area of theatre in general: ▶ Pilot ingest Repertoire of Schauspielhaus Zürich 1938-1968 (~700 productions) In the area of opera: ▶ Working toward pilot ingests of: ▶ Carnegie Hall Performance History (opera-related performances) ▶ Catalog of the Ehrenreich Collection ▶ Ingest of operas, arias, roles Outlook: ▶ Further ingests in the pipeline ▶ Start resolving data modelling issues ▶ Start resolving data quality issues (references, inconsistencies, etc.) ▶ Encourage the creation of first pilot applications State of Implementation – Focus on Wikidata
  12. 12. Wikidata Item Statistics Source: Wikidata – WikiProject Performing Arts (9 July 2018) Pilot Ingest Schauspielhaus Jan 18 Wikipedia Import Operas / Roles / Arias June 18 ? ?
  13. 13. Current Challenges Source: eCH-0205 – Linked Open Data Data scraping & cleansing Data Ingest (data mapping & matching) Data Modelling Issues ✔ ✔
  14. 14. Developing Knowledge as a Service “International Opera Database”
  15. 15. ▶ Wikidataists’ self-conception as service providers / service co-producers ▶ Catering to user requirements ▶ Aiming for high quality and reliability ▶ Users willing to pay for (extra) services. – What is the business model? • Donations and volunteer contributions as the sole resource model? • Freemium model? • First customer pays for all model? (cf. “print on demand programmes”) • How about third party service providers building their services upon Wikidata? What are the expectations / rules of the game? Knowledge as a Service – What Does it Mean?
  16. 16. ▶ Tools to facilitate the search of and access to relevant documents / artefacts: • Identification of existing recordings and documents across various archives (commercial availability?) • Filtering according to various criteria e.g.: work, composer, live vs. studio recording, singers, conductor, stage director, venue, language of performance, date copyright status/use rights, quality, completeness & accessibility of recordings ▶ Easy access to large numbers of audio-recordings ▶ Access to the entire performance history of specific places / venues for a given time-period ▶ Information about venues (sound systems, artistic directors) ▶ Access to background information about the historical development of various interpretation approaches ▶ Access to biographical information about singers Example: Requirements from the Point of View of Opera Interpretation Researchers
  17. 17. ▶ Ability to download material to the researchers’ own research platforms ▶ Access to analytical tools and related services for… • automatic analysis of vocal timbre • automatic analysis of vibrato • dissection of audio-recordings of the same work into equivalent passages; mapping with the music score, for: • comparative analysis of the tempo • comparative analysis of editing/cuts in the plays, completeness of recordings • automatic analysis of the type of feelings expressed through singing (based on voice analysis) ▶ But, most importantly: Fundamental Change regarding Research Methods! (requires change management & support among research teams, within research communities, and within institutions) Additional Requirements in View of Leveraging Big Data Analytics Bern University of the Arts: Strategic Board Decision Required
  18. 18. Tentative Sourcing Concept for the Wikidata Part Task Paid staff @ data providers Volunteer community Hybrid forms (e.g. student assignments) Paid staff on Wikidata Data scouting Exceptionally Default Exceptionally Fall back Data provision Default Fall back (manual data entry) Exceptionally Exceptionally Data scraping Exceptionally Default Default Fall back Data cleansing Default Exceptionally Fall back Fall back Ontology development Exceptionally Default Exceptionally Exceptionally Data mapping Exceptionally Default Exceptionally Fall back Data matching Exceptionally Default Default Fall back Data ingest Exceptionally Default Default Fall back Data maintenance Exceptionally Default Exceptionally Fall back Data use on Wikipedia Exceptionally Default Exceptionally Exceptionally Encourage data use beyond the wiki world Default Default Exceptionally Fall back
  19. 19. Thoughts on Enhancing Knowledge Equity
  20. 20. International Performing Arts Database from the Point of View of Knowledge Equity Enhancing Knowledge Equity Threatening Knowledge Equity Providing performing arts data from all corners of the world to all Wikipedias Western-centricity of readily available performing arts data & documentation (including data models) Providing free basic infrastructure (platform, data models, etc.) for everyone to use Unevenly distributed capacity to contribute Making “coverage holes” visible (artistic styles, countries, languages, gender, etc.)
  21. 21. What Can We Do to Enhance Knowledge Equity? ▶ Channel funding for the enhancement of services towards several low-income countries, triggering the build-up of competencies at a local level • Avoid crowding-out effects! (i.e. replacing paid work by volunteer work) • Make sure that paid contributors have strong intrinsic motivation! ▶ Listen to underrepresented communities and cater to their needs ▶ Any other suggestions…?
  22. 22. Thank You for Your Attention! Contact Beat Estermann Bern University of Applied Sciences beat.estermann@bfh.ch +41 31 848 34 38

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