the present paper aims to examine one of the technically-based approaches in the field of urban planning and urban management which started about two decades ago, and has been tested in iran over the past decade with some scientific and executive prudence. in this paper, the clue_s model, one of the models for land use changes process simulation, is used to examine its efficiency in urbanizatio...

The collaboration and parallel mechanisms in a spatial multi-agent system Geo-Agents are explored and analysed in details. GIS agent in Geo-Agents are designed as four types: system manager – Facilitator, users or applications oriented agent Interface Agent, spatial task undertaker – GIS Function Agent, and spatial database manager GuServer. In Geo-Agents, Collaboration is embodied in two aspec...

From the perspective of spatial information sharing and interoperation, the concept of geo-ontology has been proposed in this paper. At first, a brief introduction to the Geo-Ontology concept has been described and the hierarchical structure of geo-ontology has also been analyzed. Then, the traditional method of ontology construction has been discussed and the existing problems have also been s...

Geo-spatial ontologies provide knowledge about places in the world and spatial relations between them. They are fundamental in order to build semantic information retrieval systems and to achieve semantic interoperability in geo-spatial applications. In this paper we present GeoWordNet, a semantic resource we created from the full integration of GeoNames, other high quality resources and WordNe...

There are large amounts of geo-spatial data consolidated in different domains such as economic geography, environmental studies, banking, retailing etc. There is vital need to extract the valuable implicit knowledge that lies inside these huge collections of data. Recently, Spatial Data Mining has attracted much attention as automated discovery of patterns from geo-spatial databases has become ...

The discovery of links between resources within knowledge bases is of crucial importance to realize the vision of the Semantic Web. Addressing this task is especially challenging when dealing with geo-spatial datasets due to their sheer size and the potential complexity of single geo-spatial objects. Yet, so far, little attention has been paid to the characteristics of geo-spatial data within t...

Geo-ontologies have a key role to play in the development of the geospatial-semantic web, with regard to facilitating the search for geographical information and resources. They normally hold large amounts of geographic information and undergo a continuous process of revision and update. Hence, means of ensuring their integrity are crucial and needed to allow them to serve their purpose. This p...

Spatial database are becoming more and more popular in recent years. There is more and more commercial and research interest in location-based search from spatial database. Spatial keyword search has been well studied for years due to its importance to commercial search engines. Specially, a spatial keyword query takes a user location and user-supplied keywords as arguments and returns objects ...

We are living in the era of Big Data. Spatial and Spatiotemporal Data are not an exception. Mobile apps, cars, GPS devices, UAVs, ships, airplanes, space telescopes, medical devices and IoT devices are generating explosive amounts of data with spatial characteristics. Web apps and social networking systems also store vast amounts of geo-located information, like geo-located tweets, or captured ...