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UNDERSTANDING
SHAKESPEARE:
WHAT WE’VE LEARNED
(SO FAR)
1 April, 2016
Alex Humphreys, JSTOR Labs
@abhumphreys
RSA 2016 Pane...
JSTOR is a not-for-profit
digital library of academic
journals, books, and primary
sources.
Ithaka S+R is a not-for-profit...
JSTOR Labs works with partner publishers, libraries and
labs to create tools for researchers, teachers and students
that a...
PARTNERSHIP
WITH FOLGER
• Open, collaborative partnership
with Folger Shakespeare Library
• They had:
- Shakespeare Quarte...
labs.jstor.org/shakespeare
Understanding Shakespeare…
“...is the most exciting project in digital
Shakespeare in many years, and takes
a major step f...
MATCHMAKER
ALGORITHM
1. Identify candidate set of
articles from JSTOR
2. Extract quotations
- quotations, not allusions
- ...
Usage vs. Scholarship
100% = 26,233
100% =
441,032
OPEN &
PUBLIC API
labs.jstor.org/developers
Play Data
(from Folger Digital
Text)
genre, play, act,
scene, line,
speaker,
s...
WHERE DO
WE GO FROM
HERE?
• Apply Matchmaker to other
texts
- Understanding the
US Constitution App
- Understanding Dante
...
THANK YOU
Alex Humphreys
Director, JSTOR Labs
ITHAKA
http://labs.jstor.org
@abhumphreys
alex.humphreys@ithaka.org
APPENDIX
(OPEN IN CASE OF
NO INTERNET CONNECTION)
Understanding Shakespeare: What We've Learned (So Far) - RSA 2016
Understanding Shakespeare: What We've Learned (So Far) - RSA 2016
Understanding Shakespeare: What We've Learned (So Far) - RSA 2016
Understanding Shakespeare: What We've Learned (So Far) - RSA 2016
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Understanding Shakespeare: What We've Learned (So Far) - RSA 2016

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JSTOR Labs and Folger Shakespeare Library partnered to create Understanding Shakespeare (http://labs.jstor.org/shakespeare). the site is now being used regularly by Shakespeare students and scholars. In this talk, I'll dive into what powers the tool, what we have been able to do on top of it (including introducing an open and public api to its data), and where we'll go from here.

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Understanding Shakespeare: What We've Learned (So Far) - RSA 2016

  1. 1. UNDERSTANDING SHAKESPEARE: WHAT WE’VE LEARNED (SO FAR) 1 April, 2016 Alex Humphreys, JSTOR Labs @abhumphreys RSA 2016 Panel: Folger Digital Agendas II – Scholarly Conversations and Collaborations
  2. 2. JSTOR is a not-for-profit digital library of academic journals, books, and primary sources. Ithaka S+R is a not-for-profit research and consulting service that helps academic, cultural, and publishing communities thrive in the digital environment. Portico is a not-for-profit preservation service for digital publications, including electronic journals, books, and historical collections. ITHAKA is a not-for-profit organization that helps the academic community use digital technologies to preserve the scholarly record and to advance research and teaching in sustainable ways.
  3. 3. JSTOR Labs works with partner publishers, libraries and labs to create tools for researchers, teachers and students that are immediately useful – and a little bit magical.
  4. 4. PARTNERSHIP WITH FOLGER • Open, collaborative partnership with Folger Shakespeare Library • They had: - Shakespeare Quarterly - Folger Digital Texts - Scholars and students • We had: - Full run of SQ - 2,000 more journals - A new Labs team • Flash Build - September, 2014: - From ideation to working site - One week at the Folger in DC
  5. 5. labs.jstor.org/shakespeare
  6. 6. Understanding Shakespeare… “...is the most exciting project in digital Shakespeare in many years, and takes a major step forward in creating a ‘living variorum’ for Shakespeare studies on the web.” -Peter Donaldson Ford International Professor in the Humanities, MIT
  7. 7. MATCHMAKER ALGORITHM 1. Identify candidate set of articles from JSTOR 2. Extract quotations - quotations, not allusions - text within quotes or block-quotes 3. Run fuzzy text matching of quotations against primary text 4. Calibrate to minimize false positives and negatives - quotation length - % confidence
  8. 8. Usage vs. Scholarship 100% = 26,233 100% = 441,032
  9. 9. OPEN & PUBLIC API labs.jstor.org/developers Play Data (from Folger Digital Text) genre, play, act, scene, line, speaker, speaker_gender, on_stage Scholarship Data (from articles on JSTOR) title, authors, journal, pubdate, article_type, keyterms Quotations! play_text, match_text, similarity, match_size
  10. 10. WHERE DO WE GO FROM HERE? • Apply Matchmaker to other texts - Understanding the US Constitution App - Understanding Dante - and more! • Matchmaker API - Run Matchmaker on any text you can upload or point to - Incorporate Matchmaker links into other sites - Apply Matchmaker to other corpora • What do you suggest?
  11. 11. THANK YOU Alex Humphreys Director, JSTOR Labs ITHAKA http://labs.jstor.org @abhumphreys alex.humphreys@ithaka.org
  12. 12. APPENDIX (OPEN IN CASE OF NO INTERNET CONNECTION)

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