Publications and Presentations

Publications and Presentations of the Linked Data Research Group at the University of Alabama SLIS.

1. Nguyen Nguyen, Jeff Reidy, and Noah Wagnon. "Final Presentation: Automated Jersey Number Recognition". Senior design team presentation for EECE 494.407 for 2020-21 academic year. PDF slidedeck
2. MacCall, S.L., & Liu, H. (2020). Data-driven semantic indexing of digital assets documenting American football game action. Presented at the 2020 annual meeting of the American Society for Information Science and Technology. https://doi.org/10.1002/pra2.414
3. MacCall, S.L., Bott, G., Anderson, C.M., & Liu, H. (2020). Investigation of a data-driven indexing method for multimedia asset collections in sports: Phase I: How much data can be recovered from Alabama football history? Presented at the University of Alabama 2020 Faculty Research Day, Tuscaloosa, AL. Virtual session due to COVID19
4. MacCall, S.L. (2020). Systems and methods for digital asset organization. U.S . Patent number 10,534,812.
5. MacCall, S.L., Liu, H., & Anderson, C.M. (2020). Statistical data recovery from historical documentation of Alabama football games using Wikibase as a repository. Interactive demonstration accepted for Connecting Collections as Data: Transforming Communities, Sharing Knowledge, and Building Networks with International GLAM Labs, Washington, DC. (Conference canceled due to COVID-19)
6. MacCall, S.L. (2020). 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 accepted for presentation at the 2020 LD4 Conference on Linked Data in Libraries, College Station, TX. (Video of presentation)
7. Anderson, C.M., Liu, H., & MacCall, S.L. (2020). Crowdsourcing in a semantic indexing workflow for efficiently organizing historical multimedia sports collections. Poster accepted for the 2020 Annual Meeting of the Alabama Library Association, Birmingham, AL. (Conference canceled due to COVID-19)
8. 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]