Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/13379
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dc.contributor.authorAntunes, Máriopt
dc.contributor.authorGomes, Diogo Nunopt
dc.contributor.authorAguiar, Rui L.pt
dc.date.accessioned2015-02-11T18:51:41Z-
dc.date.available2015-02-11T18:51:41Z-
dc.date.issued2014-
dc.identifier.isbn978-1-4799-6236-5-
dc.identifier.urihttp://hdl.handle.net/10773/13379-
dc.description.abstractThe number of connected devices is expected to soar in the coming years, each one of them collects and distributes real-world information though various systems. As the number of such connected devices grows, it becomes increasingly difficult to store and share all these new sources of information. Several context representation schemes try to standardize this information, however none of them have been widely adopted. Publish/ subscribe paradigm has proven to be an adequate abstraction for large scale information dissemination, but none of current variations is well suited for context information. In a previous publication we addressed these challenges, however our solution has some drawbacks: poor scalability and semantic extraction. The aim of this paper is twofold. First, we discuss an efficient way to deal with representation schemes diversity and propose a d-dimensional context organization model. Second, we propose a semantic-based publish/subscribe system that is well suited for M2M scenarios. Our evaluation shows that d-dimensional organization model outperforms our previous solution in both speed and space requirements.pt
dc.language.isoengpt
dc.publisherIEEEpt
dc.relationAdI/QREN - APOLLO projectpt
dc.relationCloud Thinking - CENTRO-07-ST24-FEDER-002031pt
dc.rightsopenAccesspor
dc.subjectContextpt
dc.subjectContext modelingpt
dc.subjectInformation retrievalpt
dc.subjectInternet of thingspt
dc.subjectM2Mpt
dc.subjectMathematical modelpt
dc.subjectOrganizationspt
dc.subjectSemanticspt
dc.subjectSensorspt
dc.subjectContext informationpt
dc.titleSemantic-based publish/subscribe for M2Mpt
dc.typeconferenceObjectpt
dc.peerreviewedyespt
ua.publicationstatuspublishedpt
ua.event.date13-15 outubro, 2014pt
ua.event.typeconferencept
degois.publication.firstPage256pt
degois.publication.lastPage263pt
degois.publication.title2014 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discoverypt
dc.identifier.doi10.1109/CyberC.2014.53pt
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