Crowdsourcing and management of nature observational data

Skevakis Giannis

URI	http://purl.tuc.gr/dl/dias/F1AE466F-C48C-4404-8014-38E73E192891	-
Identifier	https://doi.org/10.26233/heallink.tuc.17791	-
Language	en	-
Extent	195 pages	en
Title	Crowdsourcing and management of nature observational data	en
Creator	Skevakis Giannis	en
Creator	Σκευακης Γιαννης	el
Contributor [Thesis Supervisor]	Christodoulakis Stavros	en
Contributor [Thesis Supervisor]	Χριστοδουλακης Σταυρος	el
Contributor [Committee Member]	Mania Aikaterini	en
Contributor [Committee Member]	Μανια Αικατερινη	el
Contributor [Committee Member]	Deligiannakis Antonios	en
Contributor [Committee Member]	Δεληγιαννακης Αντωνιος	el
Publisher	Πολυτεχνείο Κρήτης	el
Publisher	Technical University of Crete	en
Academic Unit	Technical University of Crete::School of Electronic and Computer Engineering	en
Academic Unit	Πολυτεχνείο Κρήτης::Σχολή Ηλεκτρονικών Μηχανικών και Μηχανικών Υπολογιστών	el
Content Summary	Observations of plants and animals in nature is highly valued information for the experts in the area of biodiversity. They can be used to define changes in the population of animals, plants, or track their movements throughout long periods of time. Moreover, the richer the information following the observations, the more knowledge can be extracted from them. However, the limited number of experts and the limited funding in the area, makes the observation gathering procedure almost impossible. We present the design and implementation of a framework for the management of bio- diversity observations captured by users roaming in the nature. This aims to alleviate the need for experts capturing biodiversity information, and propagates the collection of information to simple users wandering in the nature. Our framework consists of a model supporting the observations, and an infrastructure that allows the capturing, enrichment and storage of the observations using state- of-the-art technologies. Our architecture provides a scalable, highly efficient management of the collected data. The collection of the observational data is performed in real-time using mobile de- vices that most of the people have available with them, like mobile phones and tablets. Additionally, we describe the meta-model that we have defined, allowing the personalization of the metadata that follow the observations. This provides our framework with the freedom and extensibility needed so as to be implemented for various domains other than biodiversity. Finally, we describe the process of migrating the data collected by the Natural Europe project to our infrastructure.	en
Type of Item	Μεταπτυχιακή Διατριβή	el
Type of Item	Master Thesis	en
License	http://creativecommons.org/licenses/by/4.0/	en
Date of Item	2014-10-17	-
Date of Publication	2014	-
Subject	Web user interfaces	en
Subject	WUIs (Web-based user interfaces)	en
Subject	WUIs (Web user interfaces)	en
Subject	web based user interfaces	en
Subject	web user interfaces	en
Subject	wuis web based user interfaces	en
Subject	wuis web user interfaces	en
Subject	LBS (Information services)	en
Subject	Location-based computing	en
Subject	Mobile location services	en
Subject	Telegeoinformatics	en
Subject	location based services	en
Subject	lbs information services	en
Subject	location based computing	en
Subject	mobile location services	en
Subject	telegeoinformatics	en
Subject	History, Natural	en
Subject	Natural science	en
Subject	Physiophilosophy	en
Subject	natural history	en
Subject	history natural	en
Subject	natural science	en
Subject	physiophilosophy	en
Bibliographic Citation	Giannis Skevakis, "Crowdsourcing and management of nature observational data", Master Thesis, School of Electronic and Computer Engineering, Technical University of Crete, Chania, Greece, 2014	en

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Crowdsourcing and management of nature observational data

Skevakis Giannis

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