Title :
ReShare: An Operational Ontology Framework for Research Modeling, Combining and Sharing
Author :
Al Boni, Mohammad ; AbuOmar, Osama ; King, Roger L.
Author_Institution :
Center for Adv. Vehicular Syst., Mississippi State Univ., Starkville, MS, USA
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 article, 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.
Keywords :
natural sciences computing; ontologies (artificial intelligence); research and development; ReShare framework; heterogeneous knowledge; knowledge exchange; knowledge representation; object binding; object modeling; object representation; operational annotations; operational ontology framework; research combination; research modeling; research sharing; Compounds; Data models; Mathematical model; Object oriented modeling; Ontologies; Principal component analysis; Robustness; generic modeling; information and knowledge structures; operational ontology; science formalization;
Conference_Titel :
Computational Science and Computational Intelligence (CSCI), 2014 International Conference on
Conference_Location :
Las Vegas, NV
DOI :
10.1109/CSCI.2014.63