Geospatial extensions of SPARQL like GeoSPARQL and stSPARQL have recently been defined and corresponding geospatial RDF stores have been implemented. However, there is no widely used benchmark for evaluating geospatial RDF stores which takes into account recent advances to the state of the art in this area. In this paper, we develop a benchmark, called Geographica, which uses both real-world an...

To provide a timely snapshot of current research that utilizes geospatial analysis and modeling in urban environment, the Korea-America Association for Geospatial and Environmental Sciences (KAGES) and the editorship of the International Journal of Geospatial and Environmental Research (IJGER) organized a special issue of IJGER on the theme of geospatial analysis and urban environment. Eight ar...

Huge volumes of geospatial data have been collected and open geospatial information service have been set up by both public and private sectors in Antarctica Spatial Data Infrastructure (AntSDI). In order for the geospatial data to be useful, data and service have to be registered into one or more federated registry centre. However, currently it is very difficult for most of users to obtain the...

Geospatial Web Services (GWS) provide access to geospatial data and expose basic processing functionality using Web Service technology. The complexity of geo-processing tasks necessitates the discovery of basic Web Services and their combination to user-oriented and application-specific service compositions. Semantic heterogeneity has been identified as a core problem that hinders the full expl...

Geographic information systems (GIS) are increasingly using geospatial data from the Web to produce geographic information. One big challenge is to find the relevant data, which often is based on keywords or even file names. However, these approaches lack semantics. Thus, it is necessary to provide mechanisms to prepare data to help retrieval of semantically relevant data. This work proposes an...

Geospatial ontology development and semantic knowledge discovery addresses the need for modeling, analyzing and visualizing multimodal information, and is unique in offering integrated analytics that encompasses spatial, temporal and thematic dimensions of information and knowledge. The comprehensive ability to provide integrated analysis from multiple forms of information and use of explicit k...

Modern geographical information systems make it possible to integrate information from multiple sources in different forms for querying and analysing information. So the importance of geospatial databases is growing from day to day, and their applications extend beyond the traditional applications of geospatial databases and GIS. One of the most recent challenges is integrating geospatial data ...

Geospatial Web services allow to access and to process Geospatial data. Despite significant standardisation efforts, severe heterogeneity and interoperability problems remain. The SWING environment leverages the Semantic Web Services (SWS) paradigm to address these problems. The environment supports the entire life-cycle of Geospatial SWS. To this end, it integrates a genuine end-user tool, a t...

The linked open data paradigm has emerged as a promising approach to structuring and sharing geospatial information. One of the major obstacles to this vision lies in the difficulties found in the automatic integration between heterogeneous vocabularies and ontologies that provides the semantic backbone of the growing constellation of open geo-knowledge bases. In this article, we show how to ut...

A semantics-based method for density-based clustering with constraints imposed by geographical background knowledge is proposed. In this paper, we apply an ontological approach to the DBSCAN (Density-Based Geospatial Clustering of Applications with Noise) algorithm in the form of knowledge representation for constraint clustering. When used in the process of clustering geographic information, s...