Sensors are used to monitor certain aspects of the physical or virtual world and databases are typically used to store the data that these sensors provide. The use of sensors is …
An immense wealth of data is already accessible through the Semantic Web and an increasing part of it also has geospatial context or relevance. Although existing technology is …
Several modern day problems need to deal with large amounts of spatio-temporal data. As such, in order to meet the application requirements, more and more systems are adapting to …
Increasing data resources are available for documenting and detecting changes in environmental, ecological, and socioeconomic processes. Currently, data are distributed …
Several modern day problems need to deal with large amounts of spatio-temporal data. As such, in order to meet the application requirements, more and more systems are adapting to …
G Garbis, K Kyzirakos, M Koubarakis - … 21-25, 2013, Proceedings, Part II …, 2013 - Springer
Geospatial extensions of SPARQL like GeoSPARQL and stSPARQL have recently been defined and corresponding geospatial RDF stores have been implemented. However, there …
M Miler, D Medak, D Odobašić - Promet-Traffic&Transportation, 2014 - hrcak.srce.hr
Sažetak In the field of geoinformation and transportation science, the shortest path is calculated on graph data mostly found in road and transportation networks. This data is often …
N Zhang, G Zheng, H Chen, J Chen… - 2014 IEEE 13th …, 2014 - ieeexplore.ieee.org
Recent years, the scale of spatial data is developing more and more huge and its storage has encountered a lot of problems. Traditional DBMS can efficiently handle some big spatial …
Geospatial extensions of SPARQL, like GeoSPARQL and stSPARQL, have been defined since 2007, and while several geospatial RDF stores have implemented a substantial part of …