Batch matching of conjunctive triple patterns over linked data streams in the internet of things

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dc.contributor.authorQin, Y.
dc.contributor.authorSheng, Q.
dc.contributor.authorFalkner, N.
dc.contributor.authorShemshadi, A.
dc.contributor.authorCurry, E.
dc.contributor.conference27th International Conference on Scientific and Statistical Database Management (SSDBM) (29 Jun 2015 - 1 Jul 2015 : La Jolla, California)
dc.contributor.editorGupta, A.
dc.contributor.editorRathbun, S.
dc.date.issued2015
dc.description.abstractThe Internet of Things (IoT) envisions smart objects col lecting and sharing data at a global scale via the Internet. One challenging issue is how to disseminate data to relevant consumers efficiently. This paper leverages semantic technologies, such as Linked Data, which can facilitate machine- to-machine (M2M) communications to build an efficient information dissemination system for semantic IoT. The system integrates Linked Data streams generated from various data collectors and disseminates matched data to relevant data consumers based on conjunctive triple pattern queries registered in the system by the consumers. We also design a new data structure, CTP-automata, to meet the high performance needs of Linked Data dissemination. We evaluate our system using a real-world dataset generated from a Smart Building Project. With CTP-automata, the proposed system can disseminate Linked Data at a speed of an order of magnitude faster than the existing approach with thousands of registered conjunctive queries.
dc.description.statementofresponsibilityYongrui Qin, Quan Z. Sheng, Nickolas J.G. Falkner, Ali Shemshadi, Edward Curry
dc.identifier.citationProceedings of the 27th International Conference on Scientific and Statistical Database Management, 2015 / Gupta, A., Rathbun, S. (ed./s), vol.29-June-2015, pp.41-1-41-6
dc.identifier.doi10.1145/2791347.2791364
dc.identifier.isbn9781450337090
dc.identifier.orcidFalkner, N. [0000-0001-7892-6813]
dc.identifier.urihttp://hdl.handle.net/2440/108665
dc.language.isoen
dc.publisherACM
dc.rights©2015 ACM
dc.source.urihttps://doi.org/10.1145/2791347.2791364
dc.subjectLinked data; information dissemination; query index
dc.titleBatch matching of conjunctive triple patterns over linked data streams in the internet of things
dc.typeConference paper
pubs.publication-statusPublished

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