Difference between revisions of "2018-19 Academic Year Research Report"

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### For [https://wikibase.slis.ua.edu/w/index.php?title=Template:Infobox_drive&action=edit a drive]
 
### For [https://wikibase.slis.ua.edu/w/index.php?title=Template:Infobox_drive&action=edit a drive]
 
### For [https://wikibase.slis.ua.edu/w/index.php?title=Template:Infobox_game&action=edit a game]
 
### For [https://wikibase.slis.ua.edu/w/index.php?title=Template:Infobox_game&action=edit a game]
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The result is a demonstration of how linked data can form the basis of an integrated navigation experience using RDF triples that are rendered automatically using MediaWiki infobox templates drawn their data from the linked data triplestore in our Wikibase.
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## Example SPARQL queries for retrieving entity instances:
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General research accomplishments pertaining to Research Goal 1: Based on our work during the academic year, we can now demonstrate how linked data from converted statistical play-by-play datasets can be incorporated into a framework for the organizing of multimedia assets. One key insight that we had in developing our application was to consider each play as a describable entity with its own Wikibase item page. To our knowledge, this level of granularity has not yet been attempted using Wikibase.  
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### [https://wikibase.slis.ua.edu/sparql/#%23%20Rushing%20touchdowns%20for%20plays%20over%2050%20yards%0ASELECT%20%3FPlay%20%3FTextual_Description_of_Play_Outcome%20%3FYardage_Resulting_from_Play_Outcome%20%3FTeam_on_DefenseLabel%20WHERE%20%7B%0A%20%20%3FPlay%20wdt%3AP17%20wd%3AQ8.%0A%20%20%3FPlay%20wdt%3AP16%20wd%3AQ39.%0A%20%20%3FPlay%20wdt%3AP38%20%3Fplays__statYardage.%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22%5BAUTO_LANGUAGE%5D%2Cen%22.%20%7D%0A%20%20OPTIONAL%20%7B%20%3FPlay%20wdt%3AP20%20%3FTextual_Description_of_Play_Outcome.%20%7D%0A%20%20OPTIONAL%20%7B%20%3FPlay%20wdt%3AP38%20%3FYardage_Resulting_from_Play_Outcome.%20%7D%0A%20%20OPTIONAL%20%7B%20%3FPlay%20wdt%3AP25%20%3FTeam_on_Defense.%20%7D%0A%20%20FILTER%28%3Fplays__statYardage%20%3E%3D%2050%29%0A%7D%0ALIMIT%20100 Rushing touchdowns for plays over 50 yards during the 2017 Alabama Crimson Tide football season]
  
  
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https://wikibase.slis.ua.edu/wiki/Calvin_Ridley_12_Yd_pass_from_Jalen_Hurts_(Andy_Pappanastos_Kick)_(1/1/18)
 
https://wikibase.slis.ua.edu/wiki/Calvin_Ridley_12_Yd_pass_from_Jalen_Hurts_(Andy_Pappanastos_Kick)_(1/1/18)
 
https://wikibase.slis.ua.edu/wiki/Damien_Harris_run_for_75_yds_for_a_TD_(Andy_Pappanastos_KICK)_(10-14-17)
 
https://wikibase.slis.ua.edu/wiki/Damien_Harris_run_for_75_yds_for_a_TD_(Andy_Pappanastos_KICK)_(10-14-17)
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Collaborator List
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Important collaborators contributing to the research reported here (see online documentation for detailed contributions):
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1. Dr. Greg Bott, Assistant Professor, UA Culverhouse School of Business
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2. David McMillan, IT Team Leader, Enterprise Development & Application Support, UA Office of Information Technology (OIT)
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3. Huapu Liu, Graduate Research Assistant and MLIS student (see
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4. Christine Schultz-Richert, MLIS student

Revision as of 20:56, 29 April 2019

This is an addendum to my 2018-19 Academic Year Research Report submitted for review via Digital Measures.

Online documentation for research accomplishments:

  1. We were able to successfully convert publicly accessible JSON-encoded statistical play-by-play datasets for all 14 games in the 2017 Alabama Crimson Tide football season into a linked data application using Wikibase. One can now navigate from play to play, drive to drive, and game to game within the 2017 football season using data drawn from existing statistical play-by-play datasets incorporated into the application by way of linked data methods. Highlights:
    1. Example of a JSON-encoded statistical play-by-play dataset from 2017 Alabama versus Florida State football game.
    2. Property list for the ontology developed for this application.
    3. Examples of three types of entities ("play" "drive" "game") in our linked data application. Each example provides links to Mediawiki site pages and to Wikibase item pages (each item page contains the metadata statements (each statement a "triple") about each entity using properties drawn from our ontology):
      1. Mediawiki site page for a typical play (here is this play's corresponding Wikibase item page)
      2. Mediawiki site page for a typical drive (here is this drive's corresponding Wikibase item page)
      3. Mediawiki site page for a typical game (here is this game's corresponding Wikibase item page)
    4. Infobox templates deployed to generate infoboxes on each Mediawiki page:
      1. For a play
      2. For a drive
      3. For a game
    5. Example SPARQL queries for retrieving entity instances:
      1. Rushing touchdowns for plays over 50 yards during the 2017 Alabama Crimson Tide football season


https://wikibase.slis.ua.edu/wiki/Tua_Tagovailoa_pass_complete_to_DeVonta_Smith_for_27_yds_for_a_TD_(Andy_Pappanastos_KICK)_(9/23/17) https://wikibase.slis.ua.edu/wiki/Da%27Ron_Payne_1_Yd_pass_from_Jalen_Hurts_(Andy_Pappanastos_Kick)_(1/1/18) https://wikibase.slis.ua.edu/wiki/Calvin_Ridley_12_Yd_pass_from_Jalen_Hurts_(Andy_Pappanastos_Kick)_(1/1/18) https://wikibase.slis.ua.edu/wiki/Damien_Harris_run_for_75_yds_for_a_TD_(Andy_Pappanastos_KICK)_(10-14-17)

Collaborator List Important collaborators contributing to the research reported here (see online documentation for detailed contributions): 1. Dr. Greg Bott, Assistant Professor, UA Culverhouse School of Business 2. David McMillan, IT Team Leader, Enterprise Development & Application Support, UA Office of Information Technology (OIT) 3. Huapu Liu, Graduate Research Assistant and MLIS student (see 4. Christine Schultz-Richert, MLIS student

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