EAGLE—A Scalable Query Processing Engine for Linked Sensor Data
| dc.contributor.author | Nguyen Mau Quoc, Hoan | |
| dc.contributor.author | Serrano, Martin | |
| dc.contributor.author | Mau Nguyen, Han | |
| dc.contributor.author | G. Breslin, John | |
| dc.contributor.author | Le-Phuoc, Danh | |
| dc.date.accessioned | 2020-01-29T09:25:53Z | |
| dc.date.available | 2020-01-29T09:25:53Z | |
| dc.date.issued | 2019-10-09 | |
| dc.date.updated | 2019-12-12T18:04:11Z | |
| dc.description.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. | en |
| dc.description.sponsorship | EC/H2020/732679/EU/ACTivating InnoVative IoT smart living environments for AGEing well/ACTIVAGE | en |
| dc.description.sponsorship | EC/H2020/661180/EU/A Scalable and Elastic Platform for Near-Realtime Analytics for The Graph of Everything/SMARTER | en |
| dc.identifier.eissn | 1424-8220 | |
| dc.identifier.uri | https://depositonce.tu-berlin.de/handle/11303/10670 | |
| dc.identifier.uri | http://dx.doi.org/10.14279/depositonce-9573 | |
| dc.language.iso | en | en |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en |
| dc.subject.ddc | 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten | de |
| dc.subject.other | internet of things | en |
| dc.subject.other | graph of things | en |
| dc.subject.other | linked stream data | en |
| dc.subject.other | linked sensor data | en |
| dc.subject.other | semantic web | en |
| dc.subject.other | sensor network | en |
| dc.subject.other | spatial data | en |
| dc.subject.other | temporal RDF | en |
| dc.subject.other | RDF stores | en |
| dc.title | EAGLE—A Scalable Query Processing Engine for Linked Sensor Data | en |
| dc.type | Article | en |
| dc.type.version | publishedVersion | en |
| dcterms.bibliographicCitation.articlenumber | 4362 | en |
| dcterms.bibliographicCitation.doi | 10.3390/s19204362 | en |
| dcterms.bibliographicCitation.issue | 20 | en |
| dcterms.bibliographicCitation.journaltitle | Sensors | en |
| dcterms.bibliographicCitation.originalpublishername | MDPI | en |
| dcterms.bibliographicCitation.originalpublisherplace | Basel | en |
| dcterms.bibliographicCitation.volume | 19 | en |
| tub.accessrights.dnb | free | en |
| tub.affiliation | Fak. 4 Elektrotechnik und Informatik::Inst. Telekommunikationssysteme::FG Verteilte offene Systeme | de |
| tub.affiliation.faculty | Fak. 4 Elektrotechnik und Informatik | de |
| tub.affiliation.group | FG Verteilte offene Systeme | de |
| tub.affiliation.institute | Inst. Telekommunikationssysteme | de |
| tub.publisher.universityorinstitution | Technische Universität Berlin | en |