M Gahegan - International journal of geographical information …, 2020 - Taylor & Francis
This article discusses the prospects for automated discovery of explanatory models directly from geospatial data. Rather than taking an approach based on machine learning, which …
G Reid, R Sieber - Progress in Human Geography, 2020 - journals.sagepub.com
Research on geospatial ontologies focuses on achieving interoperability by creating universal standards applied to data. We argue that universality through ontologies can …
Current science communication has a number of drawbacks and bottlenecks which have been subject of discussion lately: Among others, the rising number of published articles …
As a community work, scientific contributions are usually built incrementally, involving some transformation, expansion or refutation of existing conceptual and propositional networks. As …
Nowadays, the proliferation of geographic information systems has caused great interest in integration. However, an integration process is not as simple as joining several systems …
L Bernard, S Mäs, M Müller, C Henzen… - International Journal of …, 2014 - Taylor & Francis
Based on various experiences in developing Geodata Infrastructures (GDIs) for scientific applications, this article proposes the concept of a Scientific GDI that can be used by …
Current science communication has a number of drawbacks and bottlenecks which have been subject of discussion lately: Among others, the rising number of published articles …
K Stock, T Stojanovic, F Reitsma, Y Ou, M Bishr… - Computers & …, 2012 - Elsevier
A geospatial knowledge infrastructure consists of a set of interoperable components, including software, information, hardware, procedures and standards, that work together to …
Ontologies are being widely used in online science activities, or e-Science, most notably in roles related to managing and integrating data resources and workflows. We suggest this …