In this paper the authors present an approach for the semantic annotation of RESTful services in the geospatial domain. Their approach automates some stages of the annotation process, by using a combination ofresources and services: a cross-domain knowledge base like DBpedia, two domain ontologies like GeoNames and the WGS84 vocabulary, and suggestion and synonym services. The authors' approach...

traditional leveraging statistical methods for analyzing today’s large volumes of spatial data have high computational burdens. to eliminate the deficiency, relatively modern data mining techniques have been recently applied in different spatial analysis tasks with the purpose of autonomous knowledge extraction from high-volume spatial data. fortunately, geospatial data is considered a proper s...

The National Geospatial Digital Archive (NGDA) is one of eight initial projects funded by the Library of Congress’s National Digital Information Infrastructure and Preservation Program (NDIIPP). The project’s overarching goal is to answer the question: How can we preserve geospatial data on a national scale and make it available to future generations? This paper summarizes the project’s work in...

Multi-criteria shortest path problems (MSPP) are called as NP-Hard. For MSPPs, a unique solution for optimizing all the criteria simultaneously will rarely exist in reality. Algorithmic and approximation schemes are available to solve these problems; however, the complexity of these approaches often prohibits their implementation on real-world applications. This paper describes the development ...

Geospatial datacubes are the database backend of novel types of spatiotemporal decision-support systems employed in large organizations. These datacubes extend the datacube concept underlying the field of Business Intelligence (BI) into the realm of geospatial decision-support and geographic knowledge discovery. The interoperability between geospatial datacubes facilitates the reuse of their co...

Recently, Geospatial data and Geographic Information Systems (GIS) have been increasingly used. As a result, the integration of geospatial data has become a crucial task for decision makers. Since GIS and geospatial databases are designed by different organizations using different representation models and there are diverse levels of detail for the spatial features, it is much more complex to a...

The geospatial domain is influenced by the Web developments; consequently, an increasing number of geospatial web services become available through Internet. A rich description of geospatial web services is required to resolve semantic heterogeneity and achieve semantic interoperability of geospatial web services. However, existing geospatial web services descriptions and semantic mapping appro...

Semantics of geospatial information is necessary to ensure its interoperability and correct usage. Geospatial ontologies enable encoding such knowledge and enable reasoning mechanisms to estimate interoperability. The framework of interoperability for geospatial information using ontologies, presented in this paper, supports (i) building of ontologies, (ii) semi-automated, ontology-based mappin...

This paper presents the work performed for the implementation of the geospatial product virtualization in the Grid environment. A virtual geospatial product is a product that does not exist in a geospatial data system but the system knows how to create such a product when a user requests the product. We use a two-step approach to the implementation. The first step is to represent a virtual geos...

In this paper, we propose an approach to semantically retrieve geospatial objects within an Intranet by means of their metadata. It consists of structuring a semantic repository in order to provide the inclusion mechanisms of distributed data to be retrieved, as well as the extraction of those geospatial objects with respect to their conceptual similarity. The similarity measure is based on a c...