Semantic Integration and Knowledge Discovery for Environmental Research

doi:10.4018/jdm.2007010103

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Semantic Integration and Knowledge Discovery for Environmental Research

Zhiyuan Chen, Aryya Gangopadhyay, George Karabatis, Michael McGuire, Claire Welty

Source Title: Journal of Database Management (JDM)18(1)

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MLA

Chen, Zhiyuan, et al. "Semantic Integration and Knowledge Discovery for Environmental Research." JDM vol.18, no.1 2007: pp.43-68. http://doi.org/10.4018/jdm.2007010103

APA

Chen, Z., Gangopadhyay, A., Karabatis, G., McGuire, M., & Welty, C. (2007). Semantic Integration and Knowledge Discovery for Environmental Research. Journal of Database Management (JDM), 18(1), 43-68. http://doi.org/10.4018/jdm.2007010103

Chicago

Chen, Zhiyuan, et al. "Semantic Integration and Knowledge Discovery for Environmental Research," Journal of Database Management (JDM) 18, no.1: 43-68. http://doi.org/10.4018/jdm.2007010103

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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 users in integrating, navigating, and mining multiple environmental data sources. Our system contains specifications of various environmental data sources and the relationships that are formed among them. User requests are augmented with semantically related data sources and automatically presented as a visual semantic network. In addition, we present a methodology for data navigation and pattern discovery using multi-resolution browsing and data mining. The data semantics are captured and utilized in terms of their patterns and trends at multiple levels of resolution. We present the efficacy of our methodology through experimental results.

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Semantic Integration and Knowledge Discovery for Environmental Research

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