Semantic Integration and Knowledge Discovery for Environmental Research
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UMBC Center for Real-time Distributed Sensing and Autonomy
UMBC Center for Urban Environmental Research and Education (CUERE)
UMBC Chemical, Biochemical & Environmental Engineering Department
UMBC College of Engineering and Information Technology Dean's Office
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UMBC Information Systems Department
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UMBC Chemical, Biochemical & Environmental Engineering Department
UMBC College of Engineering and Information Technology Dean's Office
UMBC Faculty Collection
UMBC Information Systems Department
Date
2007-01-01
Type of Work
Department
Program
Citation of Original Publication
Chen, Zhiyuan, Aryya Gangopadhyay, George Karabatis, Michael McGuire, and Claire Welty. “Semantic Integration and Knowledge Discovery for Environmental Research.” Journal of Database Management (JDM) 18, no. 1 (January 1, 2007): 43–68. https://doi.org/10.4018/jdm.2007010103.
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Subjects
UMBC Mobile, Pervasive and Sensor Computing Lab (MPSC Lab)
UMBC Cybersecurity Institute
UMBC Cybersecurity Institute
UMBC Accelerated Cognitive Cybersecurity Laboratory
UMBC Center for Cybersecurity
UMBC Mobile, Pervasive and Sensor Computing Lab (MPSC Lab)
UMBC Accelerated Cognitive Cybersecurity Laboratory
UMBC Center for Cybersecurity
UMBC Geography and Environmental Systems Department
UMBC Cybersecurity Institute
UMBC Cybersecurity Institute
UMBC Accelerated Cognitive Cybersecurity Laboratory
UMBC Center for Cybersecurity
UMBC Mobile, Pervasive and Sensor Computing Lab (MPSC Lab)
UMBC Accelerated Cognitive Cybersecurity Laboratory
UMBC Center for Cybersecurity
UMBC Geography and Environmental Systems Department
Abstract
Environmental research and knowledge discovery both require extensive use of data stored in various sources and created in different ways for diverse purposes. We describe a new metadata approach to elicit semantic information from environmental data and implement semantic-based techniques to assist...