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dc.contributor.authorLaoudias, Christosen
dc.contributor.authorZeinalipour-Yazdi, Constantinos D.en
dc.creatorLaoudias, Christosen
dc.creatorZeinalipour-Yazdi, Constantinos D.en
dc.description.abstractThis advanced seminar presents the fundamental mobile data management concepts behind the realization of innovative indoor information services that deal with all aspects of handling indoor data as a valuable resource, including data modeling, data acquisition, query processing, privacy and energy consumption. The goal is to provide an overview of the emerging field of indoor data management with a particular emphasis on mobile systems. We tackle the topic from a wide range of perspectives: fundamentals, definitions, current state, academic & industrial perspective, reality & visionary scenarios as well as future challenges. The seminar captures the big picture, such that interested researchers and practitioners can expand their study by following the references. Our presentation will be carried out through the lens of an experimental Indoor Information System we developed at the University of Cyprus, coined Anyplace, which has obtained three international awards and was ranked the second most accurate indoor localization technology by Microsoft Research at IEEE/ACM IPSN'14. © 2015 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en
dc.sourceProceedings - IEEE International Conference on Mobile Data Managementen
dc.source16th IEEE International Conference on Mobile Data Management, MDM 2015en
dc.subjectInformation servicesen
dc.subjectData handlingen
dc.subjectData privacyen
dc.subjectData acquisitionen
dc.subjectInformation managementen
dc.subjectEnergy utilizationen
dc.subjectMobile data managementen
dc.subjectInternational awardsen
dc.subjectFuture challengesen
dc.subjectIndoor localizationen
dc.subjectBig Dataen
dc.subjectMicrosoft researchesen
dc.subjectThrough the lensen
dc.titleMobile Data Management in Indoor Spacesen
dc.description.endingpage14 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied SciencesΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeConference Objecten
dc.description.notes<p>Sponsors: Aalborg Universityen
dc.description.noteset al.en
dc.description.notesIEEE Computer Societyen
dc.description.notesIEEE Technical Committee on Data Engineeringen
dc.description.notesThe National Science Foundationen
dc.description.notesUniversity of Pittsburghen
dc.description.notesConference code: 118117</p>en
dc.contributor.orcidZeinalipour-Yazdi, Constantinos D. [0000-0002-8388-1549]
dc.contributor.orcidLaoudias, Christos [0000-0002-2907-7488]

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