Geospatial science is the science and art of acquiring, archiving, manipulating, analyzing, communicating, and utilizing spatially explicit data for understanding physical, biological, and social systems on the Earth’s surface or near the surface. In order to share distributed geospatial resources and facilitate the interoperability, the Open Geospatial Consortium (OGC), an industry-government-...

1082-4006/05/1101-24$5.00 ©2005 The International Association of Chinese Professionals in Geographic Information Science (CPGIS) Abstract This paper discusses an interoperable system framework for developing web-service-based intelligent geospatial knowledge systems. This type of systems facilitates personalized, on-demand geospatial information or knowledge discovery and dissemination. The sys...

Due to rapid growth of distributed network and Internet, it becomes easy for data providers and users to access, manage, and share voluminous geospatial data in digital form. With Internet, it becomes very easy to distribute and copy geospatial data. Therefore, it becomes necessary to protect geospatial data from illegal and unauthorized usage. The increase availability of tools and techniques ...

Geospatial data exists in a variety of formats, including rasters, vector data, and large-scale geospatial databases. There exists an ever-growing number of sensors that are collecting this data, resulting in the explosive growth and scale of high-resolution remote sensing geospatial data collections. A particularly challenging domain of geospatial data processing involves mining information fr...

It is estimated that more than 80% of data that human beings have collected so far are geospatial data. In order for the geospatial data to be useful, information has to be extracted from the data and converted to knowledge. However, currently it is very difficult for general users to obtain geospatial data and turn them into useful information and knowledge. In order for geospatial information...

In recent years, there has been a substantial increase in the usage of geospatial data, not only by the scientific community but also by the general public. Considering the diverse and heterogeneous nature of geospatial applications around the world and their inter-dependence, there is an impending need for enabling sharing of semantics of such content-rich geospatial information. Geospatial on...

Partial knowledge about geospatial categories is critical for knowledge modelling in the geospatial domain but is beyond the scope of conventional ontologies. Degree of overlaps between geospatial categories, especially those based on geospatial actions concepts and geospatial enitity concepts need to be specified in ontologies. We present an approach to encode probabilistic information in geos...

Partial knowledge about geospatial categories is critical for knowledge modelling in the geospatial domain but is beyond the scope of conventional ontologies. Degree of overlaps between geospatial categories, especially those based on geospatial actions concepts and geospatial enitity concepts need to be specified in ontologies. We present an approach to encode probabilistic information in geos...

Geospatial metadata, data, and services have been widely collected, developed and deployed in recent years. This flourishing of geospatial resources also added to the problem of geospatial heterogeneity. Interoperability research and implementation are needed for advancement in potential solutions to integrate and interoperate these widely dispersed geospatial resources. We design and implement...