Water resources management is critical due to its importance for human lives. In this context, we have developed a web-based system for hydrological applications that integrates geospatial processing services and mapping mashups to provide an interactive and user-friendly geoportal interface to the configuration and execution of scientific models. The server side provides hydrological model log...

Geospatial information systems provide avenues to fulfill users’ quest for both absolute andrelative locations of features/objects. To achieve this, the users need to have access to different geospatialdata sets from various sources. This calls for integration of data from different geospatial sources. But,there are shortcomings as different data sets may not map exactly onto one an...

Recently, more and more geospatial data are generated and distributed with the promising data acquirement techniques like satellite imaging and digital cartography. So, it is an important issue to effectively make use of these huge geospatial data resources. This means that effective data processing technologies need to be developed to support distributed query and analysis operations onto the ...

Linked geospatial data has recently received attention, as researchers and practitioners have started tapping the wealth of geospatial information available on the Web. Incomplete geospatial information, although appearing often in the applications captured by such datasets, is not represented and queried properly due to the lack of appropriate data models and query languages. We discuss our re...

The creation of a National Spatial Data Infrastructure (NSDI) is of growing interest in Rwanda. The importance of NSDI in facilitating access to and use of geospatial data to support decision-making is recognised. Numerous government ministries and institutions in Rwanda produce geospatial datasets of different themes. It is challenging to know what datasets exist and how to access them. Since ...

Semantic interoperability is a process to facilitate the reuse of geospatial data in a distributed and heterogeneous environment. In this process, the provided geospatial metadata that are appropriate for the intended use may be incomplete or not appropriate for data reuse. Thus, the external quality (fitness for use) of these metadata seems important for data reuse, since it has the potential ...

Today, we observe a wide use of geospatial databases that are implemented in many forms (e.g. transactional centralized systems, distributed databases, multidimensional datacubes). Among those possibilities, the multidimensional datacube is more appropriate to support interactive analysis and to guide the organization’s strategic decisions, especially when different epochs and levels of informa...

With rapid development and application of mobile internet, geographic information in the field of business process is now more widely used. There are more and more researches in the field of the relationships between geographic information and workflow modeling. According to the workflow with geospatial constraints, this paper first discusses the geospatial constraints theory deeply, proposes a...

The use of geospatial data is ubiquitous in many real-world applications. For example, geospatial data is useful for planning bus routes for a city, for finding suitable helicopter landing areas for a military operation, and for analyzing the nuclear weapon production capability of a hostile country. In a typical geospatial application, the semantics of data (e.g., vector data, sensor data, and...

Recent advances in Service-Oriented Architecture (SOA) and in geospatial Web services and interoperability technologies are shifting geospatial data and analysis from the everything-locally-owned-and-operated paradigm to the everything-shared-over-the-Web paradigm (Web-and-ServiceCentric paradigm). By embracing geospatial content and capabilities within the context of SOA, we have developed a W...