With the advancement of Semantic Technologies, large geospatial data sources have been increasingly published as Linked on Web. The LinkedGeoData project is one most prominent such projects to create a knowledge graph from OpenStreetMap (OSM) with global coverage and interlinking other sources. In this paper, we report ongoing effort exposing relational database in SPARQL endpoint using Virtual...

Abstract. Knowledge graphs are a form of database representation and handling that show the potential to better meet challenges data interoperability, semi-automated information reasoning, retrieval. Geospatial knowledge (GKG) have at their core specialized forms applied ontology provide coherent spatial context domain including non-spatial attributes. This paper discusses research toward devel...

ologies and technologies have strengthened their position in the areas of data and knowledge management. Standards for organizing and querying semantic information, such as RDF(S) and SPARQL are adopted by large academic communities, while corporate vendors adopt semantic technologies to organize, expose, exchange and retrieve their data as Linked Data [1]. RDF stores have become robust enough ...

The importance of geo-spatial data in critical applications such as emergency response, transportation, agriculture etc., has prompted the adoption of recent GeoSPARQL standard in many RDF processing engines. In addition to large repositories of geo-spatial data –e.g., LinkedGeoData, OpenStreetMap, etc.– spatial data is also routinely found in automatically constructed knowledgebases such as Ya...

The vision of Linked Topographic Data is critical for the Semantic Web, since topographic data are fundamental to a wide range of geoscientific analyses and mapping of geographic phenomena. Terrain datasets are probably the most important for Linked Topographic Data. Terrain is computationally represented using a continuous field data model (2-D surfaces), but the Semantic Web needs discrete ob...

The need for geolocation is crucial for many applications for both human and software agents. More and more data is opened and interlinked using Linked Data principles, and it is worth modeling geographic data efficiently by reusing as much as possible from existing ontologies or vocabularies that describe both the geospatial features and their shapes. In this paper, we survey different modelin...

As the need for more broad-scale solutions to environmental problems is increasingly recognized, traditional hierarchical, government-led models of coordination are being supplemented by or transformed into collaborative inter-organizational networks (i.e., collaboratives, coalitions, partnerships). diffuse networks, such regional planning and design (REPD) efforts often face challenges in shar...

Interoperability is the main challenge on the way to efficiently find and access spatial data on the web. Significant contributions regarding interoperability have been made by the Open Geospatial Consortium (OGC), where web service standards to publish and download spatial data have been established. The OGCs GeoSPARQL specification targets spatial data on the Web as Linked Open Data (LOD) by ...

The Spatial Data Infrastructure initiatives are now broadly developed and deployed. However, while plenty of tools use them, some tasks still complex to perform by non-expert users, such as finding, accessing, using their related OGC Web Services (OWS). One the main reasons for these challenges is associated with semantic heterogeneity within services. This entails a lack proper descriptions re...

Incomplete information has been studied in-depth in relational databases and knowledge representation. It is also an important issue in Semantic Web frameworks such as RDF, description logics, and OWL 2. In [6], we introduced RDF, an extension of RDF for representing incomplete information using constraints. We defined a semantics for RDF and studied SPARQL query evaluation in this framework. G...