On Intelligence
Ontology Matching
Towards a general theory of geographic representation in GIS
International Journal of Geographical Information Science
Foundations of Semantic Web Technologies
Foundations of Semantic Web Technologies
Web Semantics: Science, Services and Agents on the World Wide Web
When owl: sameAs isn't the same: an analysis of identity in linked data
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
Ontology alignment for linked open data
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
Contextual ontology alignment of LOD with an upper ontology: a case study with proton
ESWC'11 Proceedings of the 8th extended semantic web conference on The semantic web: research and applications - Volume Part I
Semantic Web
Ontology use for semantic e-Science
Semantic Web
Geospatial semantics: why, of what, and how?
Journal on Data Semantics III
Linked open GeoData management in the cloud
Proceedings of the 2nd International Workshop on Open Data
Geospatial semantics and linked spatiotemporal data --Past, present, and future
Semantic Web - On linked spatiotemporal data and geo-ontologies
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The Digital Earth [13] aims at developing a digital representation of the planet. It is motivated by the need for integrating and interlinking vast geo-referenced, multi-thematic, and multi-perspective knowledge archives that cut through domain boundaries. Complex scientific questions cannot be answered from within one domain alone but span over multiple scientific disciplines. For instance, studying disease dynamics for prediction and policy making requires data and models from a diverse body of science ranging from medical science and epidemiology over geography and economics to mining the social Web. The naïve assumption that such problems can simply be addressed by more data with a higher spatial, temporal, and thematic resolution fails as long as this more on data is not supported by more knowledge on how to combine and interpret the data. This makes semantic interoperability a core research topic of data-intensive science. While the Digital Earth vision includes processing services, it is, at its very core, a data archive and infrastructure. We propose to redefine the Digital Earth as a knowledge engine and discuss what the Semantic Web has to offer in this context and to Big Data in general.