Date of Award
Summer 8-2013
Degree Type
Thesis
Degree Name
M.S.
Degree Program
Computer Science
Department
Computer Science
Major Professor
Shengru Tu
Abstract
We propose that most data stores for large organizations are ill-designed for the future, due to limited searchability of the databases. The study of the Semantic Web has been an emerging technology since first proposed by Berners-Lee. New vocabularies have emerged, such as FOAF, Dublin Core, and PROV-O ontologies. These vocabularies, combined, can relate people, places, things, and events. Technologies developed for the Semantic Web, namely the standardized vocabularies for expressing metadata, will make data easier to utilize. We gathered use cases for various data sources, from human resources to big enterprise. Most of our use cases reflect real-world data. We developed a software package for transforming data into these semantic vocabularies, and developed a method of querying via graphical constructs. The development and testing proved itself to be useful. We conclude that data can be preserved or revived through the use of the metadata techniques for the Semantic Web.
Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.
Recommended Citation
Becker, Brian J., "Semantic Assistance for Data Utilization and Curation" (2013). University of New Orleans Theses and Dissertations. 1686.
https://scholarworks.uno.edu/td/1686
Rights
The University of New Orleans and its agents retain the non-exclusive license to archive and make accessible this dissertation or thesis in whole or in part in all forms of media, now or hereafter known. The author retains all other ownership rights to the copyright of the thesis or dissertation.