Scipediacontent: Scipediacontent moved page Draft Content 234750567 to Votis et al 2018a

2021-02-02T07:43:55Z

Scipediacontent moved page Draft Content 234750567 to Votis et al 2018a

Scipediacontent: Created page with " == Abstract == Part 1: SEDSEAL; International audience; The technological advances in the Internet-of-Things (IoT) have led to the generation of large amounts of data and th..."

2021-02-02T07:43:52Z

Created page with " == Abstract == Part 1: SEDSEAL; International audience; The technological advances in the Internet-of-Things (IoT) have led to the generation of large amounts of data and th..."

New page

== Abstract ==

Part 1: SEDSEAL; International audience; The technological advances in the Internet-of-Things (IoT) have led to the generation of large amounts of data and the production of a large number of IoT platforms for their management. The abundance of raw data necessitates the use of data analytics in order to extract useful patterns for decision making. Current architectures for big data analytics in the IoT domain address the large volume and velocity of the produced data. However, they do not address the semantic heterogeneity in the data models used by diverse IoT platforms, which emerges when large-scale deployments, spanning across multiple deployment sites, are considered. This paper proposes an architecture for big data analytics in the context of large-scale IoT systems consisting of multiple IoT platforms. A Semantic Interoperability Layer (SIL) handles the interoperability among the data models of the individual platforms, using semantic mappings between them and a unified ontology. Data queries to the SIL and result collection is handled by a cloud-based data management layer, namely the Data Lake, along with storage of metadata needed by data analytics methods. Based on this infrastructure, web-based data analytics and visual analytics methods are used to analyze the collected data, while being agnostic of platform-specific details. The proposed architecture is developed in the context of healthcare provision for older people, although it can be applied to any IoT domain.

Document type: Conference object

== Full document ==
<pdf>Media:Draft_Content_234750567-beopen4918-4193-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.1007/978-3-319-92016-0_2 http://dx.doi.org/10.1007/978-3-319-92016-0_2] under the license http://creativecommons.org/licenses/by/

* [http://link.springer.com/content/pdf/10.1007/978-3-319-92016-0_2 http://link.springer.com/content/pdf/10.1007/978-3-319-92016-0_2],
: [http://dx.doi.org/10.1007/978-3-319-92016-0_2 http://dx.doi.org/10.1007/978-3-319-92016-0_2] under the license http://www.springer.com/tdm

* [https://hal.inria.fr/hal-01821316 https://hal.inria.fr/hal-01821316],
: [https://hal.inria.fr/hal-01821316/document https://hal.inria.fr/hal-01821316/document],
: [https://hal.inria.fr/hal-01821316/file/468652_1_En_2_Chapter.pdf https://hal.inria.fr/hal-01821316/file/468652_1_En_2_Chapter.pdf] under the license http://www.springer.com/tdm

* [https://link.springer.com/chapter/10.1007/978-3-319-92016-0_2 https://link.springer.com/chapter/10.1007/978-3-319-92016-0_2],
: [https://dblp.uni-trier.de/db/conf/ifip12/aiai2018w.html#KalamarasKVT18 https://dblp.uni-trier.de/db/conf/ifip12/aiai2018w.html#KalamarasKVT18],
: [https://hal.inria.fr/hal-01821316 https://hal.inria.fr/hal-01821316],
: [https://rd.springer.com/chapter/10.1007/978-3-319-92016-0_2 https://rd.springer.com/chapter/10.1007/978-3-319-92016-0_2],
: [https://academic.microsoft.com/#/detail/2804229147 https://academic.microsoft.com/#/detail/2804229147] under the license http://creativecommons.org/licenses/by/

← Older revision	Revision as of 07:43, 2 February 2021
(No difference)

Votis et al 2018a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 234750567 to Votis et al 2018a

Scipediacontent: Created page with " == Abstract == Part 1: SEDSEAL; International audience; The technological advances in the Internet-of-Things (IoT) have led to the generation of large amounts of data and th..."