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Towards Water Environmental Ontology Construction and Data Retrieval
2017
DEStech Transactions on Environment Energy and Earth Science
Academic researchers often involve in collecting multi-source, multi-scale and multidiscipline data within experimental watersheds, observatories, and research sites. The ability to find and access interested data over diverse data sources through a single environment will be great benefits for researchers. Our work makes two major contributions. Firstly, in order to alleviate semantic heterogeneity and associate semantic information with data retrieval process, we propose a semi-automatic
doi:10.12783/dteees/peem2016/5062
fatcat:hu3l4ria25b2bbm3zrejl4zcpy