Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-9573
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Main Title: EAGLE—A Scalable Query Processing Engine for Linked Sensor Data
Author(s): Nguyen Mau Quoc, Hoan
Serrano, Martin
Mau Nguyen, Han
G. Breslin, John
Le-Phuoc, Danh
Type: Article
Language Code: en
Abstract: Recently, many approaches have been proposed to manage sensor data using semantic web technologies for effective heterogeneous data integration. However, our empirical observations revealed that these solutions primarily focused on semantic relationships and unfortunately paid less attention to spatio–temporal correlations. Most semantic approaches do not have spatio–temporal support. Some of them have attempted to provide full spatio–temporal support, but have poor performance for complex spatio–temporal aggregate queries. In addition, while the volume of sensor data is rapidly growing, the challenge of querying and managing the massive volumes of data generated by sensing devices still remains unsolved. In this article, we introduce EAGLE, a spatio–temporal query engine for querying sensor data based on the linked data model. The ultimate goal of EAGLE is to provide an elastic and scalable system which allows fast searching and analysis with respect to the relationships of space, time and semantics in sensor data. We also extend SPARQL with a set of new query operators in order to support spatio–temporal computing in the linked sensor data context.
URI: https://depositonce.tu-berlin.de/handle/11303/10670
http://dx.doi.org/10.14279/depositonce-9573
Issue Date: 9-Oct-2019
Date Available: 29-Jan-2020
DDC Class: 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
Subject(s): internet of things
graph of things
linked stream data
linked sensor data
semantic web
sensor network
spatial data
temporal RDF
RDF stores
Sponsor/Funder: EC/H2020/732679/EU/ACTivating InnoVative IoT smart living environments for AGEing well/ACTIVAGE
EC/H2020/661180/EU/A Scalable and Elastic Platform for Near-Realtime Analytics for The Graph of Everything/SMARTER
License: https://creativecommons.org/licenses/by/4.0/
Journal Title: Sensors
Publisher: MDPI
Publisher Place: Basel
Volume: 19
Issue: 20
Article Number: 4362
Publisher DOI: 10.3390/s19204362
EISSN: 1424-8220
Appears in Collections:FG Verteilte offene Systeme » Publications

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