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With the rapid development of urbanization in China and the rapid development of spatial and information technologies, the amount of valuable data captured in different systems and different structures grew and technical progress made it possible to link these different systems and different structures, the wish to exchange and share these data arose and became more and more important. But the combination of data done on different levels that we subsume under the term data integration requires resolving heterogeneities, which still poses research questions. Urban information is a kind of multi-sources data, which not only contain spatial data, but only contain non-spatial data. The variety of these data demands that the data integration system read all types of data, frame uniform standard to classify these data, establish the data relationship among them and integrate usable data resource. In search of solutions for these problems, the paper discusses data integration in the light of recent developments in GIS Open Source software resources that promise a more dynamic and automated data integration system for urbanization. The paper implements the data integration system in the environment of Visual C++ 6.0 combined of GDAL/OGR library, and something useful is concluded.
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Stored only when both papers are in the corpus — 4 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.