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Land Administration Spatial Data Supply Chains (SDSC) for state and territory jurisdictions in Australia require extensive investigation to address several contemporary issues and challenges that are hampering innovation and the use of spatial information across the land administration sector. The management of cadastral data involves multiple value and supply chains. Each has heterogeneous geo-processes,...
It will not take a longtime that the human will apply the networks of sensors in controlling the environment and predict natural disasters. This vast function would create bulks of sensor data to be applied World Wide Web. These bulks of data should be handled and processed a primary manner, which is a difficult task; therefore only the expert in this field can process them. One solution to overcome...
State-of-the-art instance matching approaches do not perform well when used for matching instances across heterogeneous datasets. This shortcoming derives from their core operation depending on direct matching, which involves a direct comparison of instances in the source with instances in the target dataset. Direct matching is not suitable when the overlap between the datasets is small. Aiming at...
In our smart planet, there are numerous sensors sensing almost everything around us and streaming the sensor data to different data collectors. Storing, categorizing and an-alyzing sensor data are the key challenging areas with a view to provide their proper usage. Semantic querying on such a deluge of sensor data set imposes another challenge. As queries can be spatial, temporal and thematic in nature,...
Manufacture-based high-tech industries such as automotive and aerospace essentially pay attention to reducing costs and improving the quality of their products. In this context, assembly of products is one prominent part of finalizing the product. During the assembly, finding the most suitable standard parts1 that combines one or more bodies of assembly to form the final product is the common task...
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