Difference between revisions of "Chronology: Data-driven Sports Image Indexing Research"

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2017
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'''2019'''
MacCall, S.L., Liu, H., & Anderson, C.M. (2019). How much statistical data can be recovered from Alabama football history? Piloting a crowdsourced approach using Wikibase as data repository. Presented at 2019 Digitorium Digital Humanities Conference, Tuscaloosa, AL. [UA Institutional Repository deposit: [https://ir.ua.edu/handle/123456789/6574 https://ir.ua.edu/handle/123456789/6574]]
 
  
2013
+
MacCall, S.L. ('''In review'''). Data-driven semantic DAM indexing incorporating statistical play-by-play game logs: A linked data application using Wikibase from the 2017 football season of the Alabama Crimson Tide. '''Conference paper submitted''' to 2020 LD4 Conference on Linked Data in Libraries, College Station, TX.
 +
 
 +
MacCall, S.L., Liu, H., & Anderson, C.M. ('''In review'''). Statistical data recovery from historical documentation of Alabama football games using Wikibase as a repository. Conference paper submitted to Connecting Collections as Data: Transforming Communities, Sharing Knowledge, and Building Networks with International GLAM Labs, Washington, DC.
 +
 
 +
MacCall, S.L., Liu, H., & Anderson, C.M. (2019). How much statistical data can be recovered from Alabama football history? Piloting a crowdsourced approach using Wikibase as data repository. Conference paper presented at 2019 Digitorium Digital Humanities Conference, Tuscaloosa, AL. [UA Institutional Repository deposit: [https://ir.ua.edu/handle/123456789/6574 https://ir.ua.edu/handle/123456789/6574]]
 +
 
 +
Anderson, C.M., Liu, H., & MacCall, S.L. (2019). Crowdsourcing in a semantic indexing workflow for efficiently organizing historical multimedia sports collections. Poster accepts for the 2020 Annual Meeting of the Alabama Library Association, Birmingham, AL.
 +
 
 +
'''2013'''
  
 
R/Theory
 
R/Theory
 
MacCall, S.L. & Gaddy, K. (2013). Optimal organizing of digital images in sports:  A project of the Paul W. Bryant Museum and UA SLIS. Presented at the 2013 University of Alabama Program in Sports Communication Sports Symposium, Tuscaloosa, AL. [Slideshare: [http://tinyurl.com/k875g5j http://tinyurl.com/k875g5j]]
 
MacCall, S.L. & Gaddy, K. (2013). Optimal organizing of digital images in sports:  A project of the Paul W. Bryant Museum and UA SLIS. Presented at the 2013 University of Alabama Program in Sports Communication Sports Symposium, Tuscaloosa, AL. [Slideshare: [http://tinyurl.com/k875g5j http://tinyurl.com/k875g5j]]

Revision as of 14:28, 19 February 2020

The chronology reports on research, teaching, and service activities led by Steven L. MacCall, PhD, associate professor in the School of Library and Information Studies at the University of Alabama.

Research into indexing efficiency and effectiveness is a long standing area for information science investigators. Applications of such research include the improvement of systems design as well as informing the teaching of information professionals to better prepare them for the technological intensities of the modern metadata work environment.

One would expect that research questions would evolve over time, and in that spirit, these are the present day global research questions presently in force for this research program:

  1. Efficiency (scalability)
  2. Effectiveness

The entries below are inverse chonologically and are coded as follows:

  1. RESEARCH
    1. RESEARCH - THEORY
    2. RESEARCH - EMPIRICAL
  2. TEACHING
  3. SERVICE


2019

MacCall, S.L. (In review). Data-driven semantic DAM indexing incorporating statistical play-by-play game logs: A linked data application using Wikibase from the 2017 football season of the Alabama Crimson Tide. Conference paper submitted to 2020 LD4 Conference on Linked Data in Libraries, College Station, TX.

MacCall, S.L., Liu, H., & Anderson, C.M. (In review). Statistical data recovery from historical documentation of Alabama football games using Wikibase as a repository. Conference paper submitted to Connecting Collections as Data: Transforming Communities, Sharing Knowledge, and Building Networks with International GLAM Labs, Washington, DC.

MacCall, S.L., Liu, H., & Anderson, C.M. (2019). How much statistical data can be recovered from Alabama football history? Piloting a crowdsourced approach using Wikibase as data repository. Conference paper presented at 2019 Digitorium Digital Humanities Conference, Tuscaloosa, AL. [UA Institutional Repository deposit: https://ir.ua.edu/handle/123456789/6574]

Anderson, C.M., Liu, H., & MacCall, S.L. (2019). Crowdsourcing in a semantic indexing workflow for efficiently organizing historical multimedia sports collections. Poster accepts for the 2020 Annual Meeting of the Alabama Library Association, Birmingham, AL.

2013

R/Theory MacCall, S.L. & Gaddy, K. (2013). Optimal organizing of digital images in sports: A project of the Paul W. Bryant Museum and UA SLIS. Presented at the 2013 University of Alabama Program in Sports Communication Sports Symposium, Tuscaloosa, AL. [Slideshare: http://tinyurl.com/k875g5j]