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A big geo data query framework to correlate open data with social network geotagged posts

Conference Paper
Publication Date:
2017
abstract:
The objective of this paper is to fill in the gap existing between the need of business companies and analysts to spatially correlate open geo-data and social network geo-tagged information, and the lack of tools to enable this task in an easy way. To this end we propose a novel declarative query language named J-CO (JSON Collections) to perform complex queries on heterogeneous collections of data stored within a NoSQL database as JSON objects.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
social computing; geotagged social information querying
List of contributors:
Bordogna, Gloria
Authors of the University:
BORDOGNA GLORIA
Handle:
https://iris.cnr.it/handle/20.500.14243/332524
Book title:
Societal Geo-innovation - Selected Papers of the 20th {AGILE} Conference on Geographic Information Science, Wageningen, The Netherlands, 9-12, May 2017
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http://www.scopus.com/record/display.url?eid=2-s2.0-85017501544&origin=inward
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