funding from the European Union’s Horizon 2020 research and innovation programme under the MOVING project(grant agreement no 862739).
Digital maps greatly support storytelling about territories,especially when enriched with data describing cultural,societal,and ecological aspects,conveying emotional messages that describe the territory as a whole.St...
financed by the French National Research Agency within the project ‘Heterogeneous data integration and spatial reasoning for locating victims in mountain areas–CHOUCAS’[ANR-16-CE23-0018].
While ontological modelling and Semantic Web technologies are sometimes used to describe knowledge domains with a spatial component,there is still a lack of semantics to describe how to present this knowledge geovisua...
This work was supported by China Scholarship Council and Lund University.
Geovisualisation is a knowledge-intensive art in which both providers and users need to possess a wide range of knowledge.Current syntactic approaches to presenting visualisation information lack semantics on the one ...
the National Natural Science Foundation of China[grant number 41631177];the Chinese Academy of Sciences Key Project[grant number ZDRW-ZS-2016-6-3].
Semantically aligning the heterogeneous geospatial datasets(GDs)produced by different organizations demands efficient similarity matching methods.However,the strategies employed to align the schema(concept and propert...
Where a virtual representation of the Earth must contain data values observed within the physical Earth system,data models are required that allow the integration of data across the silos of various Earth and environm...
The study is supported in part by the NASA AIST program(Grant#NNX06AG04G,PI:Dr.Liping Di).
The Sensor Web has emerged from Earth Science research with the development of Web technology,to achieve process automation,sensor interoperation,and service synergy.These promises require the discovery of the right s...