Paper Info
Title
GeoSensor: On-line Scalable Change and Event Detection over Big Data.
Abstract
GeoSensor is a novel system that enriches change detection over satellite images with event detection over news items and social media content. GeoSensor faces the major challenges of Big Data: volume (a single satellite image may be a few GBs), variety (its data sources include two different types of satellite images and various types of user-generated content) and veracity, as the accuracy of the end result is crucial for the usefulness of our system. To overcome these three challenges, while offering on-line functionality, GeoSensor comprises a complex architecture that is based on the open-source platform developed in the H2020 project Big Data Europe. Through the presented demonstration, both the effectiveness and the efficiency of GeoSensor's functionalities are highlighted.
Year
DOI
Venue
2018
10.1145/3184558.3186984
WWW '18: The Web Conference 2018 Lyon France April, 2018
DocType
ISBN
Citations 
Conference
978-1-4503-5640-4
0
PageRank 
References 
Authors
0.34
0
12
Name
Order
Citations
PageRank
Giorgos Argyriou161.56
George Papadakis218317.69
George Stamoulis3114.29
Efi Karra Taniskidou421.39
Nikiforos Pittaras561.56
George Giannakopoulos6579.50
Sergio Albani740.85
Michele Lazzarini841.18
e angiuli9233.13
Anca Popescu1000.34
Argyros Argyridis1100.34
Manolis Koubarakis122790322.32