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University of Alabama<br><br></b> | University of Alabama<br><br></b> | ||
| − | <h4>Our activities center on two areas:</h4> | + | <h4>Our activities center on two areas:</h4> |
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# Applied knowledge graph research: We are applying linked data technologies to semantically index still images and video clips that document game action in sports by incorporating play-by-play datasets into the indexing process by way of an ontology and ETL pipeline process. The resulting knowledge graph can be queried using SPARQL, which allows for precision searching based on queries that incorporate game situation variables. Feel free to read the [[Chronology: Data-driven Sports Image Indexing Research]], which documents our work up until now. | # Applied knowledge graph research: We are applying linked data technologies to semantically index still images and video clips that document game action in sports by incorporating play-by-play datasets into the indexing process by way of an ontology and ETL pipeline process. The resulting knowledge graph can be queried using SPARQL, which allows for precision searching based on queries that incorporate game situation variables. Feel free to read the [[Chronology: Data-driven Sports Image Indexing Research]], which documents our work up until now. | ||
# Basic research on philology graphs: We are investigating an ontology that would serve to integrate texts in library collections extending the work of the [https://osf.io/mx6uk/wiki/home/ Collections as Data] research community. More information on this work to come. | # Basic research on philology graphs: We are investigating an ontology that would serve to integrate texts in library collections extending the work of the [https://osf.io/mx6uk/wiki/home/ Collections as Data] research community. More information on this work to come. | ||
Revision as of 15:08, 24 August 2020
Welcome to the Linked Data Research Group!
Steven L. MacCall, PhD
Associate Professor
School of Library and Information Studies
University of Alabama
Our activities center on two areas:
- Applied knowledge graph research: We are applying linked data technologies to semantically index still images and video clips that document game action in sports by incorporating play-by-play datasets into the indexing process by way of an ontology and ETL pipeline process. The resulting knowledge graph can be queried using SPARQL, which allows for precision searching based on queries that incorporate game situation variables. Feel free to read the Chronology: Data-driven Sports Image Indexing Research, which documents our work up until now.
- Basic research on philology graphs: We are investigating an ontology that would serve to integrate texts in library collections extending the work of the Collections as Data research community. More information on this work to come.
