Converting Enterprise Data to Semantic Data/RDF

http://www.ufl.edu ( Publisher's URL )
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Material Information

Title:
Converting Enterprise Data to Semantic Data/RDF
Physical Description:
Conference Poster
Creator:
Alex Loiacono
Erik Schmidt
Nicholas Rejack
Christopher Barnes
Mike Conlon
Publisher:
University of Florida
Place of Publication:
San Francisco, CA
Publication Date:

Notes

Acquisition:
Collected for University of Florida's Institutional Repository by the UFIR Self-Submittal tool. Submitted by Michael Conlon.
Publication Status:
Published

Record Information

Source Institution:
University of Florida Institutional Repository
Holding Location:
University of Florida
Rights Management:
All rights reserved by the submitter.
System ID:
IR00003886:00001


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University of Florida CTS IT: Converting Enterprise Data into Semantic Data/RDF Alex Loiacono 1 Erik Schmidt 1 Nicholas Rejack 1 Chris Barnes 1 Mike Conlon 2 atloiaco@ufl.edu, cavedivr@ufl.edu, nrejack@ufl.edu, cpb@ufl.edu, mconlon@ufl.edu 1 Clinical and Translational Science Informatics and Technology, University of Florida 2 Clinical and Translational Science Institute, University of Florida Solution For internal data sources, we crafted a database driven solution to gather institutional data and store it in a curated manner. For our external source, we manually download data. All of the collected data files are then processed by Python applications, which check each entry for details which qualify or disqualify them for inclusion in VIVO. The output is in the form of an add or subtract RDF file which can be processed by VIVO. Background At the University of Florida, we use VIVO to collect and display information about many aspects of our institution, with a strong focus on facts about research and academics. The idea is that we can create relationships between various entities, such as two faculty members with similar research focus or awards. Issues At the time we began our work, the University simply had various collections of data each one by itself and unrelated to any other data source. Many of the data sources were in differing formats, and closely guarded by their caretakers. In fact, publications data is not something the University even has record of. For this, we needed to find a data source external to the University. Results Response on our campus has been tremendous. The Office of Research has become interested in VIVO and now has plans to fund much of the work being done. Several departments now use VIVO for faculty reviews a VIVO profile that has not been properly maintained results in a poor review. Many faculty members are discovering new collaborators on campus by looking at the relationships VIVO has built for them. Ingests Institutional Data PeopleSoft UF Data Warehouse Division of Sponsored Projects External Publication Database p erson_ingest.py course_ingest.py publications_ingest.py grants_ingest.py p eople_add.rdf people_sub.rdf course_add.rdf pubs_add.rdf grants_add.rdf VIVO.ufl.edu