This paper provides an easy way to fully exploit the growing amount of heterogeneous geospatial data to users without adequate background knowledge. The ...
This approach empowers end users to rapidly extract geospatial data from diverse sources, to easily eliminate heterogeneity and to semantically link and ...
Jan 18, 2016 · This approach empowers end users to rapidly extract geospatial data from diverse sources, to easily eliminate heterogeneity and to semantically ...
A Semantic Approach to Retrieving, Linking, and. Integrating Heterogeneous Geospatial Data. Ying Zhang. North China Electric. Power University. Beijing, China.
extract, link and integrate geospatial data by means of both semantic techniques and spatial characteristics. • Encapsulate the retrieval algorithms as Web ...
A Semantic Approach to Retrieving, Linking, and Integrating Heterogeneous Geospatial Data. Zhang, Y., Chiang, Y., Szekely, P., & Knoblock, ...
Nov 7, 2013 · This document proposes a semantic approach to retrieve, link, and integrate heterogeneous geospatial data. It models geospatial data using ...
Firstly, implicit semantic knowledge is studied and applied to construct a knowledge graph, integrating semantics in multi-source heterogeneous geospatial data.
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Similarly, semantic web approach helps in extracting the unstructured geospatial data and transforming it into RDF, linking and integrating from heterogeneous ...
Mar 2, 2021 · This study presents a new ETL semantic model that allows for combining, associating, incorporating, and characterizing geospatial data using semantic ...