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BEGIN:VEVENT
UID:32@lincs.fr
DTSTART;TZID=Europe/Paris:20161214T140000
DTEND;TZID=Europe/Paris:20161214T150000
DTSTAMP:20170313T170809Z
URL:https://www.lincs.fr/events/modeling-and-algorithms-for-iot-service-ch
 aracterization-and-recommendation/
SUMMARY:Modeling and algorithms for IoT service characterization and
 recommendation
DESCRIPTION:Connected devices\, as key constituent elements of the Internet
 of Things (IoT)\, are flooding our real world environment. This digital
 wave paves the way for a major technological breakthrough called to deeply
 change our daily lives. Nevertheless\, some strong issues remain to be
 addressed. The most dominant one relates to our ability to leverage the
 whole IoT service space and\, more specifically\, to our ability to compose
 IoT services from multiple connected devices by cleverly selecting them
 with the required software functions\, whatever our technical skills. In
 such a challenging context\, we first propose a rich and flexible
 abstraction framework relying on Attributed Typed Graphs\, which enables to
 represent how known IoT services are composed from different perspectives.
 Then\, capitalizing on this modeling tool and focusing on the way IoT
 services interact with the physical environment\, lightweight service
 signatures are computed by using a physical-interfaced-based algorithm in
 order to characterize IoT services. Finally\, we discuss how leveraging the
 computed signatures can allow for autonomously recommending IoT services to
 end-users.
CATEGORIES:Seminars,Youtube
LOCATION:LINCS Meeting Room 40\, 23\, avenue d'Italie\, Paris\, 75013\,
 France
GEO:48.8283983;2.3568972000000485
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TZID:Europe/Paris
X-LIC-LOCATION:Europe/Paris
BEGIN:STANDARD
DTSTART:20161030T020000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
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