Title | ||
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A flexible framework to cross-analyze heterogeneous multi-source geo-referenced information: the J-CO-QL proposal and its implementation |
Abstract | ||
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The need for cross-analyzing JSON objects representing heterogeneous geo-referenced information coming from multiple sources, such as open data published on the Web by public administrations and crowd-sourced posts and images from social networks, is becoming common for studying, predicting and planning social dynamics. Nevertheless, although NoSQL databases have emerged as a de facto standard means to store JSON objects, a query language that can be easily used by not-programmers to manipulate and correlate such data is still missing. Furthermore, when the information is geo-referenced, we also need both spatial analysis and mapping facilities. In the paper, we motivate the need for a novel flexible framework, named J-CO, that provides a query language, named J-CO-QL, enabling novel declarative (spatial) queries for JSON objects. We will illustrate the basic concepts of the proposal and the possible use of its spatial and non-spatial operators for cross-analyzing open data and crowd-sourced information. This framework is powered by a plug-in for QGIS that can be used to write and execute queries on MongoDB databases. |
Year | DOI | Venue |
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2017 | 10.1145/3106426.3106537 | WI |
Keywords | DocType | ISBN |
Collections of JSONbjects, Geo-tagged data sets, Query Language for geographical analysis, Powerful spatial operators | Conference | 978-1-4503-4951-2 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Gloria Bordogna | 1 | 974 | 103.99 |
Daniele E. Ciriello | 2 | 1 | 0.75 |
Giuseppe Psaila | 3 | 722 | 192.45 |