Theses and Dissertations
Issuing Body
Mississippi State University
Advisor
King, Roger L.
Committee Member
Anderson, Derek T.
Committee Member
Zhang, Song
Date of Degree
8-15-2014
Document Type
Graduate Thesis - Open Access
Major
Computational Engineering (program)
Degree Name
Master of Science
College
James Worth Bagley College of Engineering
Department
Computational Engineering Program
Abstract
Scientists always face difficulties dealing with disjointed information. There is a need for a standardized and robust way to represent and exchange knowledge. Ontology has been widely used for this purpose. However, since research involves semantics and operations, we need to conceptualize both of them. In this thesis, we propose ReShare to provide a solution for this problem. Maximizing utilization while preserving the semantics is one of the main challenges when the heterogeneous knowledge is combined. Therefore, operational annotations were designed to allow generic object modeling, binding and representation. Furthermore, a test bed is developed and preliminary results are presented to show the usefulness and robustness of our approach. Moreover, two aggregation techniques for fusing ontology matchers are investigated as an initial work for building an algorithm which converts descriptive ontologies into operational ones.
URI
https://hdl.handle.net/11668/21040
Recommended Citation
Al Boni, Mohammad, "Reshare an Operational Ontology Framework for Research Modeling, Combining and Sharing" (2014). Theses and Dissertations. 3798.
https://scholarsjunction.msstate.edu/td/3798
Comments
ontology matching||ontology||generic modeling||dynamic binding||object oriented||generic visualization