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PhD Defense - Holly Ferguson

Start: 6/12/2017 at 10:00AM
End: 6/12/2017 at 1:00PM
Location: 258 Fitzpatrick Hall
Attendees: Faculty and students are welcome to attend the presentation portion of the defense. Light refreshments will be served.
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Holly Ferguson
Dissertation Defense
June 12, 2017         10:00 am          258 Fitzpatrick
Adviser:  Dr. Jarek Nabrzyski
  Dr. Michelle Cheatham    Dr. Tracy Kijewski-Correa  Dr. Gregory Madey       
  Dr. Charles Vardeman II


A Semantic Graph Based Approach for Automating Big Spatial Data  Interoperability Used in Decision Support


As the quantities and complexity of data increase, methods for structuring and effectively processing it are more vital than they have ever been in the past. In terms of the development and integration of modern applications and their data, incorporating practices from the Semantic Web means that researchers now have more intelligent techniques to achieve interoperability, accessibility, and reliability between resources. Moreover, professionals continue to demonstrate the need for an increasing amount of interdisciplinary data to properly answer questions. However, the existence of the Semantic Web and the availability of Linked Data techniques are not sufficient; integration methods are needed to align data sets and applications, preferably in an automated manner, so as to enhance the capabilities of decision support methods and other artificial intelligence goals.Modern industry questions and decisions require multi-disciplinary information, most of which is not currently usable in a simultaneous manner, if it is reliable at all. For example, the best Decision Engine in the world is still limited by the data it has to work with to arrive at a set of decisions; semantics allow further data to be aligned, found, acquired, and formatted such that knowledge can continue to be generated. Industry goals for intelligence often return to issues with the types and structure -or lack of structure and context - of the available data resources themselves. This is a resounding set of issues resolved by the research and contributions of this dissertation.