Research on Universal Processing Framework of Multi-source Heterogeneous Data Integration in GIS Domain Based on Software Technology

摘要

It is difficult to make fine-grained random call in GIS system development or data processing owing to the multi-source heterogeneity of spatial data. Moreover, to convert the data into a unified format easily can lead to the loss of the core attributes. In this paper, we discuss the translation methods among several different data formats, including attribute and business data, network data, CAD data, heterogeneous GIS spatial data, and domestic and foreign GIS data, etc, based on software technology like FME, MyFME, Arcgis, MessagePack package, crawling tools and so on. Then, we propose a universal processing framework for multi-source heterogeneous data integration in the GIS field, and verify the performance of the proposed framework through integrating several kinds of data.