EAGLE—A Scalable Query Processing Engine for Linked Sensor Data

dc.contributor.authorNguyen Mau Quoc, Hoan
dc.contributor.authorSerrano, Martin
dc.contributor.authorMau Nguyen, Han
dc.contributor.authorG. Breslin, John
dc.contributor.authorLe-Phuoc, Danh
dc.date.accessioned2020-01-29T09:25:53Z
dc.date.available2020-01-29T09:25:53Z
dc.date.issued2019-10-09
dc.date.updated2019-12-12T18:04:11Z
dc.description.abstractRecently, 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.sponsorshipEC/H2020/732679/EU/ACTivating InnoVative IoT smart living environments for AGEing well/ACTIVAGEen
dc.description.sponsorshipEC/H2020/661180/EU/A Scalable and Elastic Platform for Near-Realtime Analytics for The Graph of Everything/SMARTERen
dc.identifier.eissn1424-8220
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/10670
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-9573
dc.language.isoenen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subject.ddc620 Ingenieurwissenschaften und zugeordnete Tätigkeitende
dc.subject.otherinternet of thingsen
dc.subject.othergraph of thingsen
dc.subject.otherlinked stream dataen
dc.subject.otherlinked sensor dataen
dc.subject.othersemantic weben
dc.subject.othersensor networken
dc.subject.otherspatial dataen
dc.subject.othertemporal RDFen
dc.subject.otherRDF storesen
dc.titleEAGLE—A Scalable Query Processing Engine for Linked Sensor Dataen
dc.typeArticleen
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.articlenumber4362en
dcterms.bibliographicCitation.doi10.3390/s19204362en
dcterms.bibliographicCitation.issue20en
dcterms.bibliographicCitation.journaltitleSensorsen
dcterms.bibliographicCitation.originalpublishernameMDPIen
dcterms.bibliographicCitation.originalpublisherplaceBaselen
dcterms.bibliographicCitation.volume19en
tub.accessrights.dnbfreeen
tub.affiliationFak. 4 Elektrotechnik und Informatik>Inst. Telekommunikationssysteme>FG Verteilte offene Systemede
tub.affiliation.facultyFak. 4 Elektrotechnik und Informatikde
tub.affiliation.groupFG Verteilte offene Systemede
tub.affiliation.instituteInst. Telekommunikationssystemede
tub.publisher.universityorinstitutionTechnische Universität Berlinen
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