Recommended
Recommended
More Related Content
Similar to SPNHCTDWG2018_Improving Search Efficiency in BHL
Similar to SPNHCTDWG2018_Improving Search Efficiency in BHL (20)
More from Carolyn Sheffield
More from Carolyn Sheffield (12)
Recently uploaded
Recently uploaded (20)
SPNHCTDWG2018_Improving Search Efficiency in BHL
- 1. Improving Search Efficiency in the Biodiversity Heritage Library corpus Carolyn Sheffield @BHLProgramMgr 28 August | SPNHC-TDWG 2018 Share your thoughts on social media using #BHLib
- 2. 54+MILLIONPAGES TITLES VOLUMES 140,000+ 231,000+ 184+MILLIONINSTANCES OF TAXONOMIC NAMES 780+ IN-COPYRIGHT TITLES LICENSED FOR BHL 344+ AGREEMENTS WITH LICENSORS
- 3. Pam McClanahan Marissa Kings Alicia Esquivel Katie Mika Ariadne Rehbein • Full Text Search • Transcriptions and OCR corrections • Named entities enhancements • Annotations • Linking • Overall usability • Many more! Priorities for improving research efficiency: Recommendations from National Digital Stewardship Residents
- 4. Priorities for improving research efficiency: Recommendations from National Digital Stewardship Residents • Full Text Search • Transcriptions and OCR corrections • Named entities enhancements • Annotations • Linking • Overall usability • Many more! Pam McClanahan Marissa Kings Alicia Esquivel Katie Mika Ariadne Rehbein
- 5. New Service: Full Text Search! Search across the text of all 54+ million pages in BHL! Search results now display matches within both the bibliographic information + the full text Filter search results by content type, publication date, subject, language, and author with new faceted browsing Use “search inside” to search for terms within a book you are viewing
- 6. • “Decapod Crustaceans” General Search: Old Interface
- 7. • “Decapod Crustaceans” General Search: New Interface
- 8. • Mary Jane Rathbun Narrow by author
- 9. WITHOUT full text So, a search for a mention of a specimen, say 761630 returned 0 results
- 10. WITH full text Basic search for 761630 returns 0 results
- 11. WITH full text
- 12. WITH full text
- 13. WITH full text
- 15. • Results only as good as OCR • And faceting only as good as metadata • Ambiguity of identifiers mentioned in texts • API v.3 – Coming Soon! Things to Keep in Mind
- 16. Priorities for improving research efficiency: Recommendations from National Digital Stewardship Residents • Full Text Search • Transcriptions and OCR corrections • Named entities enhancements • Annotations • Linking • Overall usability • Many more! Pam McClanahan Marissa Kings Alicia Esquivel Katie Mika Ariadne Rehbein
- 17. LEADS • 10 weeks • Identify place names in texts • Associate with mentions of species names or type specimens • Disambiguate geographic name strings and associate them with a point on a map LEADS-4-NDP LIS Education and Data Science for the National Digital Platform Gretchen R. Stahlman
- 18. LEADS - Challenges Challenges • OCR • Ambiguity of references • Diverse corpus LEADS-4-NDP LIS Education and Data Science for the National Digital Platform
- 19. Poor OCR
- 20. LEADS - ChallengesDunedin or Dunedin? New Zealand Florida
- 21. LEADS - ChallengesDiverse Corpus Structured Unstructured
- 22. Methods • Annotations • Machine learning • Visualization tools LEADS-4-NDP LIS Education and Data Science for the National Digital Platform
- 23. Priorities for improving research efficiency: Recommendations from National Digital Stewardship Residents • Full Text Search • Transcriptions and OCR corrections • Named entities enhancements • Annotations • Linking • Overall usability • Many more! Pam McClanahan Marissa Kings Alicia Esquivel Katie Mika Ariadne Rehbein
- 24. • Incorporate transcriptions • Make searchable as OCR Transcriptions
- 25. Acknowledgements Susan Lynch NYBG Joel Richard SIL Mike Lichtenberg MBG Gretchen Stahlman University of Arizona Acknowledgements Dmitry Schigel GBIF
- 26. Thank You! Questions? Carolyn Sheffield August 2018 | TDWG 2018 Stay Connected with BHL!Follow @BioDivLibrary on social media Join our Mailing List: s.si.edu/BHLMailingList