2020-July-31 Content enrichment...; ... football photos, Dig. collections track (Kumar; MacCall)
Channel: LD4
Date: 2020-08-01

Content enrichment of Institutional Repository Records consuming Linked Data, Vinit Kumar (Babasaheb Bhimrao Ambedkar University, Lucknow, India)
Metadata plays an important role in the discoverability of records in digital collections and institutional repositories. In this talk, I would like to present the SELOS model developed for the content enrichment of institutional repository records by consuming Linked Datasets. The enrichments add value to the records by providing better discoverability in searching and browsing of the digital collections. The presentation will further discuss the SELOS model, its various layers, tools, and involved technologies. One application profile of the SELOS model is developed as a prototype, the talk will discuss the prototype's design, configuration, workflow, implementation and demonstration in detail.

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, Steven MacCall (University of Alabama)
Our aim with this project was to demonstrate how statistical play-by-play datasets generated by loggers during college football games could be incorporated into a semantic indexing process for photos and video clips captured during those games. We chose to deploy a linked data approach using Wikibase and Mediawiki as our software. We were able to successfully transform publicly available JSON-formatted statistical play-by-play datasets for all 14 games in the 2017 Alabama Crimson Tide football season into a linked data application. One can now navigate from play to play, drive to drive, and game to game within the 2017 football season using data drawn from transformed JSON-formatted datasets. In this presentation, we will walk through the data processing pipeline procedures that we developed to wrangle and clean our acquired datasets in order to transform them into RDF, including the use of Python scripts for enhancing processing efficiencies and Quickstatements for uploading to our Wikibase instance. We will also show how we designed infobox templates in our Mediawiki instance so that play data could be displayed automatically from each play's connected Wikibase item page. Finally, we will demonstrate navigation methods for browsing as well as the use of our SPARQL endpoint for the complex querying of the Blazegraph triplestore.