research-article

What does mean search engine for IOT or IOT search engine

Authors:

Fatima Zahra Fagroud,

El Habib Ben Lahmar,

Mohamed Amine,

Hicham Toumi,

Sanaa El FilaliAuthors Info & Claims

BDIoT '19: Proceedings of the 4th International Conference on Big Data and Internet of Things

Article No.: 20, Pages 1 - 7

https://doi.org/10.1145/3372938.3372958

Published: 07 January 2020 Publication History

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Abstract

One of the emerging and evolving area in computer science in the last years is internet of things (IOT), which offer great opportunities to researchers and industrialists around the world. It is a technological revolution specially an evolution of internet that can be applied in different areas such as Education, agriculture and Industry. IOT solutions are characterized by innovation and creativity aspect and serves to improve the quality of life and will make the environment intelligent (smart) and conducive to all human activity by offering advanced services based on existing or evolving technologies. With the development of IOT and the increase of the number of IOT devices, learning IOT, searching the information about IOT, track and list of the connected devices has become a necessity, which became possible with the appearance of a new type of search engine entitled IOT search engines. Our study in this paper are focalized on the issues of IOT which concern the search of connected objects and information related to internet of things. For this, we present a review on IOT search engines (Search engines for internet of things) when we define IOT search engines and the steps for it developement, their advantages and issues, and their impact in the aim to solve the issues of internet of things.

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Cited By

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Fagroud FToumi HBen Lahmar ETalhaoui MAchtaich KFilali S(2021)Impact of IoT devices in E-HealthProcedia Computer Science10.1016/j.procs.2021.07.046191:C(343-348)Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.1016/j.procs.2021.07.046
Mishra RTripathi S(2021)Deep learning based search engine for biomedical images using convolutional neural networksMultimedia Tools and Applications10.1007/s11042-020-10391-w80:10(15057-15065)Online publication date: 1-Feb-2021
https://dl.acm.org/doi/10.1007/s11042-020-10391-w
Fagroud FAjallouda LBen Lahmar EToumi HAchtaich KFilali S(2020)IOT Search Engines: Exploratory Data AnalysisProcedia Computer Science10.1016/j.procs.2020.07.082175(572-577)Online publication date: 2020
https://doi.org/10.1016/j.procs.2020.07.082
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Information

Published In

BDIoT '19: Proceedings of the 4th International Conference on Big Data and Internet of Things

October 2019

476 pages

ISBN:9781450372404

DOI:10.1145/3372938

Conference Chairs:
Mohamed Lazaar
ENSIAS, Mohammed V University in Rabat, Morocco
,
Claude Duvallet
Le Havre University in Le Havre, France
,
Mohammed Al Achhab
ENSA, Abdelmalek Essaadi University in Tetuan, Morocco
,
Oussama Mahboub
ENSA, Abdelmalek Essaadi University in Tetuan, Morocco
,
Hassan Silkan
FS, Chouaib Doukkali University in El Jadida, Morocco

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 January 2020

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BDIoT'19

BDIoT'19: The 4th International Conference On Big Data and Internet of Things

October 23 - 24, 2019

Rabat, Morocco

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BDIoT '19 Paper Acceptance Rate 75 of 136 submissions, 55%;

Overall Acceptance Rate 75 of 136 submissions, 55%

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Cited By

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Fagroud FToumi HBen Lahmar ETalhaoui MAchtaich KFilali S(2021)Impact of IoT devices in E-HealthProcedia Computer Science10.1016/j.procs.2021.07.046191:C(343-348)Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.1016/j.procs.2021.07.046
Mishra RTripathi S(2021)Deep learning based search engine for biomedical images using convolutional neural networksMultimedia Tools and Applications10.1007/s11042-020-10391-w80:10(15057-15065)Online publication date: 1-Feb-2021
https://dl.acm.org/doi/10.1007/s11042-020-10391-w
Fagroud FAjallouda LBen Lahmar EToumi HAchtaich KFilali S(2020)IOT Search Engines: Exploratory Data AnalysisProcedia Computer Science10.1016/j.procs.2020.07.082175(572-577)Online publication date: 2020
https://doi.org/10.1016/j.procs.2020.07.082
Fagroud FBen Lahmar EToumi HAchtaich KEl Filali S(2020)IOT Search Engines: Study of Data Collection MethodsAdvances on Smart and Soft Computing10.1007/978-981-15-6048-4_23(261-272)Online publication date: 20-Oct-2020
https://doi.org/10.1007/978-981-15-6048-4_23

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