Semantic Integration and Knowledge Discovery for Environmental Research

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dc.contributor.authorChen, Zhiyuan
dc.contributor.authorGangopadhyay, Aryya
dc.contributor.authorKarabatis, George
dc.contributor.authorMcGuire, Michael P.
dc.contributor.authorWelty, Claire
dc.date.accessioned2025-06-05T14:02:57Z
dc.date.available2025-06-05T14:02:57Z
dc.date.issued2007-01-01
dc.description.abstractEnvironmental 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...
dc.description.sponsorshipThis material is based upon work partly supported by the National Science Foundation under Grant Nos. DEB0423476 and BES-0414206 and by U.S. Environmental Protection Agency under grants R-82818201-0 and CR83105801. Although the research described in this article has been funded in part by the U.S. Environmental Protection Agency, it has not been subjected to the agency’s required peer and policy review and therefore does not necessarily reflect the views of the agency and no official endorsement should be inferred
dc.description.urihttps://www.igi-global.com/article/journal-database-management-jdm/www.igi-global.com/article/journal-database-management-jdm/3366
dc.format.extent25 pages
dc.genrejournal articles
dc.identifierdoi:10.13016/m2g3lf-oj89
dc.identifier.citationChen, 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.
dc.identifier.urihttps://doi.org/10.4018/jdm.2007010103
dc.identifier.urihttp://hdl.handle.net/11603/38630
dc.language.isoen_US
dc.publisherIGI Global
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Center for Real-time Distributed Sensing and Autonomy
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC College of Engineering and Information Technology Dean's Office
dc.relation.ispartofUMBC Information Systems Department
dc.relation.ispartofUMBC Student Collection
dc.relation.ispartofUMBC Chemical, Biochemical & Environmental Engineering Department
dc.relation.ispartofUMBC Center for Urban Environmental Research and Education (CUERE)
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectUMBC Mobile, Pervasive and Sensor Computing Lab (MPSC Lab)
dc.subjectUMBC Cybersecurity Institute
dc.subjectUMBC Cybersecurity Institute
dc.subjectUMBC Accelerated Cognitive Cybersecurity Laboratory
dc.subjectUMBC Center for Cybersecurity
dc.subjectUMBC Mobile, Pervasive and Sensor Computing Lab (MPSC Lab)
dc.subjectUMBC Accelerated Cognitive Cybersecurity Laboratory
dc.subjectUMBC Center for Cybersecurity
dc.subjectUMBC Geography and Environmental Systems Department
dc.titleSemantic Integration and Knowledge Discovery for Environmental Research
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0002-6984-7248
dcterms.creatorhttps://orcid.org/0000-0002-7553-7932
dcterms.creatorhttps://orcid.org/0000-0002-2208-0801
dcterms.creatorhttps://orcid.org/0000-0003-1236-6934

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