GeoBrain is a Web based geospatial information and knowledge system that adopts and implements the newly emerged geospatial Web service technologies. It provides innovative methods in remote sensing education to prepare students with world-view training and experiences, transfer spatial data and information technologies to the professional workforce and society at large, and meet the increasing...

In this paper we present the tool GeoTriples that allows the transformation of Earth Observation data and geospatial data into RDF graphs, by using and extending the R2RML mapping language to be able to deal with the specificities of geospatial data. GeoTriples is a semiautomated tool that transforms geospatial information into RDF following the state of the art vocabularies like GeoSPARQL and ...

AbstrAct Multi-agent system is specialized in studying the collective effects of multiple intelligent agents. An intelligent agent is a computer system with autonomous action in an environment. This technology is especially suitable for studying geospatial phenomena since they are complex in nature and call for intertwined actions from different forces. This chapter describes multi-agent system...

Geospatial data and the technologies that drive them have altered the landscape of our understanding of the world around us. The data, software and services related to geospatial information have given us the opportunity to visualize existing phenomena, to understand connections, and to address problems from environmental management to emergency response. From the everpresent Google Earth image...

Work Package WP 2, Semantics‐Based Geospatial Information Management Task T 2.2 Type Prototype Approval Status Final Version 1.0 Number of Pages 46 Filename D2.2.1_Integration_of_external_geospatial_databases.pdf Abstract: This document presents two tools, Sparqlify and TripleGeo, for transforming geospatial data from several conventional formats, into RDF triples, compliant with several standa...

Much of the information that underpins the challenges facing society today—such as terrorist activities, global environmental change, and natural disasters—is geospatial in nature. An everyday example of key geospatial data is the location of a cell phone user who has dialed 911 in an emergency. In terrorist situations, the origins and destinations of phone calls, travel patterns of individuals...

Libraries can bring substantial expertise to bear on the collection, curation, and distribution of digital geospatial information, making them trusted and competent partners for organizations that wish to distribute geospatial data. By developing a well-thought-out data management and distribution policy, libraries can defi ne the parameters of a data distribution partnership and reinforce a da...

Y.-H. Hu l. Ge School of Surveying and Spatial Information Systems, University of New South Wales Sydney, Australia [email protected] [email protected] With the advent of the World Wide Web (WWW), the way people publish, retrieve and synthesise information has totally changed. The Web is a hypertext system consisting of a huge amount of information which has very different forms. T...

The World Wide Web is the largest collection of geospatial data. However, this tremendous resource is almost unexploited. This observation holds for individuals accessing the WWW by their favorite search engine as well as for corporate users performing geospatial analyses. Searching for a particular location by typing its name (in combination with the key words a user is interested in) retrieve...

This paper presents two approaches that aim to capture the portion of geospatially referenced information in user-generated content: a network approach and a cognitive approach. The German Wikipedia is used as research corpus, which is considered a network with the articles being nodes and the links being edges. The Network Degree of Geospatial Reference (NDGR) is introduced as a measurement un...