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LIBRIS Formathandbok  (Information om MARC21)

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Fältnamn	Indikatorer	Metadata
000		04388cam a22006133a 4500
001		20100123
003		SE-LIBR
005		20170918130632.0
007		cr||||||||||||
008		170225s2017 sw |||| om |||| ||eng c
020		z 9789188357625
024	7	a http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-608502 uri
024	7	a urn:nbn:se:lnu:diva-608502 urn
040		a S
041	0	a eng
042		9 EPLK
100	1	a Sotsenko, Alisa,d 1989-4 aut0 404973
245	1 0	a A Rich Context Modelh [Elektronisk resurs]b Design and Implementation
260		a Växjöb Linnaeus Universityc 2017
300		a 103
500		a Härtill 4 uppsatser
500		a Filosofie licentiat (tekn)
500		a Licentiate in technology
502		a Lic.-avh. (sammanfattning), 2017
506	0	a gratis
520		a The latest developments of mobile devices include a variety of hardware features that allow for more rich data collection and services. Numerous sensors, Internet connectivity, low energy Bluetooth connectivity to other devices (e.g., smart watches, activity tracker, health data monitoring devices) are just some examples of hardware that helps to provide additional information that can be beneficially used for many application domains. Among others, they could be utilized in mobile learning scenarios (for data collection in science education, field trips), in mobile health scenarios (for health data collection and monitoring the health state of patients, changes in health conditions and/or detection of emergency situations), and in personalized recommender systems. This information captures the current context situation of the user that could help to make mobile applications more personalized and deliver a better user experience. Moreover, the context related information collected by the mobile device and the different applications can be enriched by using additional external information sources (e.g., Web Service APIs), which help to describe the user’s context situation in more details. The main challenge in context modeling is the lack of generalization at the core of the model, as most of the existing context models depend on particular application domains or scenarios. We tackle this challenge by conceptualizing and designing a rich generic context model. In this thesis, we present the state of the art of recent approaches used for context modeling and introduce a rich context model as an approach for modeling context in a domain-independent way. Additionally, we investigate whether context information can enhance existing mobile applications by making them sensible to the user’s current situation. We demonstrate the reusability and flexibility of the rich context model in a several case studies. The main contributions of this thesis are: (1) an overview of recent, existing research in context modeling for different application domains; (2) a theoretical foundation of the proposed approach for modeling context in a domain-independent way; (3) several case studies in different mobile application domains.
650	7	a Engineering and Technology2 hsv
650	7	a Electrical Engineering, Electronic Engineering, Information Engineering2 hsv
650	7	a Computer Systems2 hsv
650	7	a Teknik och teknologier2 hsv
650	7	a Elektroteknik och elektronik2 hsv
650	7	a Datorsystem2 hsv
650	7	a Media Technology2 lnu
650	7	a Medieteknik2 lnu
653	0	a Context modeling
653	0	a rich context model
653	0	a mobile users
653	0	a current context of the user
653	0	a mobile sensors
653	0	a multidimensional vector space model
653	0	a contextualization
700	1	a Jansen, Marc4 ths0 313718
700	1	a Pèrez, Juan Ignacio Asensio4 opn
710	1 2	a Linnéuniversitetetb Fakulteten för teknik (FTK)4 pbl
710	2	a CeLeKT4 oth
772	1 8	i channel recordw 18834938
776	0 8	i Annat formatz 9789188357625
856	4 0	u http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-60850
856	4 0	u http://lnu.diva-portal.org/smash/get/diva2:1076331/FULLTEXT01
900	1 s	6 700a Jansen, Marku Jansen, Marc
841		5 APISa x ab 170225||0000|||||001||||||000000e 1
024	7	5 APISa urn:nbn:se:lnu:diva-608502 urn
852		5 APISb APIS
856	4 0	5 APISu http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-60850

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