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Jonghyeon Yang, Hanme Jang and Kiyun Yu
In recent years, question answering on knowledge bases (KBQA) has emerged as a promising approach for providing unified, user-friendly access to knowledge bases. Nevertheless, existing KBQA systems struggle to answer spatial-related questions, prompting ...
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Younes Hamdani, Guohui Xiao, Linfang Ding and Diego Calvanese
The integration of the raster data cube alongside another form of geospatial data (e.g., vector data) raises considerable challenges when it comes to managing and representing it using knowledge graphs. Such integration can play an invaluable role in han...
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Nicholas J. Car and Timo Homburg
In 2012, the Open Geospatial Consortium published GeoSPARQL defining ?an RDF/OWL ontology for [spatial] information?, ?SPARQL extension functions? for performing spatial operations on RDF data and ?RIF rules? defining entailments to be drawn from graph p...
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Milos Jovanovik, Timo Homburg and Mirko Spasic
GeoSPARQL is an important standard for the geospatial linked data community, given that it defines a vocabulary for representing geospatial data in RDF, defines an extension to SPARQL for processing geospatial data, and provides support for both qualitat...
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Abhishek V. Potnis, Surya S. Durbha and Rajat C. Shinde
Earth Observation data possess tremendous potential in understanding the dynamics of our planet. We propose the Semantics-driven Remote Sensing Scene Understanding (Sem-RSSU) framework for rendering comprehensive grounded spatio-contextual scene descript...
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Sean N. Gordon, Philip J. Murphy, John A. Gallo, Patrick Huber, Allan Hollander, Ann Edwards and Piotr Jankowski
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 more collaborative inter-organizational network...
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Weiming Huang, Syed Amir Raza, Oleg Mirzov and Lars Harrie
Geospatial information is indispensable for various real-world applications and is thus a prominent part of today?s data science landscape. Geospatial data is primarily maintained and disseminated through spatial data infrastructures (SDIs). However, cur...
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