A semantic approach to retrieving, linking, and integrating heterogeneous geospatial data

作者: Ying Zhang , Yao-Yi Chiang , Pedro Szekely , Craig A. Knoblock

DOI: 10.1145/2516911.2516914

关键词:

摘要: There is a tremendous amount of geospatial data available, and there are numerous methods for extracting, processing integrating sources. However, end-users' ability to retrieve, combine, integrate heterogeneous limited. This paper presents new semantic approach that allows users easily extract, link, from various sources by demonstration in an interactive interface, which implemented tool called Karma. First, we encapsulate the retrieval algorithms as web services invoke extract Then model publish extracted RDF eliminating heterogeneity. Finally, link (in RDF) different using matching algorithm them SPARQL queries. empowers end rapidly diverse sources, eliminate heterogeneity semantically

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