Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Bowers, Shawn"'
We propose a new approach for modeling and reconciling conflicting data cleaning actions. Such conflicts arise naturally in collaborative data curation settings where multiple experts work independently and then aim to put their efforts together to i
Externí odkaz:
http://arxiv.org/abs/2403.08257
An advantage of scientific workflow systems is their ability to collect runtime provenance information as an execution trace. Traces include the computation steps invoked as part of the workflow run along with the corresponding data consumed and prod
Externí odkaz:
http://arxiv.org/abs/1807.09899
Autor:
Franz, Nico M., Pier, Naomi M., Reeder, DeAnn M., Chen, Mingmin, Yu, Shizhuo, Kianmajd, Parisa, Bowers, Shawn, Ludaescher, Bertram
Classification standards such as the Mammal Species of the World (MSW) aim to unify name usages at the global scale, but may nevertheless experience significant levels of taxonomic change from one edition to the next. This circumstance challenges the
Externí odkaz:
http://arxiv.org/abs/1412.1025
Autor:
Franz, Nico M., Chen, Mingmin, Yu, Shizhuo, Kianmajd, Parisa, Bowers, Shawn, Ludaescher, Bertram
Classifications and phylogenetic inferences of organismal groups change in light of new insights. Over time these changes can result in an imperfect tracking of taxonomic perspectives through the re-/use of Code-compliant or informal names. To mitiga
Externí odkaz:
http://arxiv.org/abs/1411.0940
We introduce Euler/X, a toolkit for logic-based taxonomy integration. Given two taxonomies and a set of alignment constraints between them, Euler/X provides tools for detecting, explaining, and reconciling inconsistencies; finding all possible merges
Externí odkaz:
http://arxiv.org/abs/1402.1992
Autor:
Bowers, Shawn
Publikováno v:
Full text open access at.
Thesis (Ph.D.)--OGI School of Science & Engineering at OHSU, 2003.
Includes bibliographical references (leaves 174-181).
Includes bibliographical references (leaves 174-181).
Externí odkaz:
http://content.ohsu.edu/u?/etd,12
Autor:
McDonald, Jamia, Murthy, Hari, Chaurasia, Naman, Bowers, Shawn, Arnold, Will, Walsh, Michael J., Fishman, Tiffany Dovey
Publikováno v:
Policy & Practice (19426828); Fall2024, Vol. 82 Issue 3, p8-36, 3p
Autor:
Bowers, Shawn1 (AUTHOR), Chen, Yu-Ling1 (AUTHOR), Clifton, Yvette1 (AUTHOR), Gamez, Melissa1 (AUTHOR), Giffin, Heidi Hubbard1 (AUTHOR), Johnson, Meg Stanley1 (AUTHOR), Lohman, Laura1 (AUTHOR) lohmanl@queens.edu, Pastryk, Linda1 (AUTHOR)
Publikováno v:
TechTrends: Linking Research & Practice to Improve Learning. Jan2022, Vol. 66 Issue 1, p17-28. 12p.
Autor:
Franz, Nico M., Pier, Naomi M., Reeder, Deeann M., Chen, Mingmin, Yu, Shizhuo, Kianmajd, Parisa, Bowers, Shawn, Ludäscher, Bertram
Publikováno v:
Systematic Biology, 2016 Jul 01. 65(4), 561-582.
Externí odkaz:
http://www.jstor.org/stable/44028778
Publikováno v:
Annual Review of Ecology, Evolution, and Systematics, 2006 Jan 01. 37, 519-544.
Externí odkaz:
https://www.jstor.org/stable/30033842