magistrsko delo
Aljaž Čukajne (Author), Rok Rupnik (Mentor)

Abstract

Da bi mobilne aplikacije lahko učinkovito nudile vse svoje storitev in jih prilagodile uporabniku, bi morale pri tem uporabiti ves kontekst uporabnika in njegove okolice. V obstoječih raziskavah to nalogo prevzema poseben kontekstni strežnik, ki skrbi za zbiranje podatkov ter posredovanje informacij aplikaciji. V primeru, da bi tak kontekstni strežnik deloval na mobilni napravi, bi bila postopoma odpravljena potreba po omenjenem sistemu. V sklopu naloge smo predlagani model kontekstnega strežnika uspešno implementirali in njegovo delovanje preizkusili s pomočjo kontekstno odvisne aplikacije, ki deluje na principu tekstovne klasifikacije uporabnikovih vnosov v spletnih iskalnikih in njegovi trenutni lokaciji. Aplikaciji omenjenih podatkov ni potrebno zajeti ročno, saj so ti ob pojavitvi novega podatka avtomatično posredovani preko kontekstnega strežnika.

Keywords

kontekst;kontekstni strežnik;Android;Weka;računalništvo;računalništvo in informatika;magisteriji;

Data

Language: Slovenian
Year of publishing:
Typology: 2.09 - Master's Thesis
Organization: UL FRI - Faculty of Computer and Information Science
Publisher: [A. Čukajne]
UDC: 004.9(043.2)
COBISS: 1536019651 Link will open in a new window
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Downloads: 364
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Other data

Secondary language: English
Secondary title: Context server on a mobile device
Secondary abstract: In order for mobile applications to efficiently offer all of their services and adjust them according to the end user, they would need to monitor all of his context and surroundings. In the existing researches this is done by a special context server which is responsible for data retrieval and transmission of information application. In the event, when the context server would work on a mobile device, the before mentioned system would gradually not be needed anymore. In the context of the thesis we have successfully implemented the proposed model of context server and tested it with a context application, which operates in the principle of text classification of user entries in the search engines and its current location. The application of this data does not need to be captured manually, since they are automatically transmitted to the server when the new data appears.
Secondary keywords: context;context server;Android;Weka;computer science;computer and information science;master's degree;
File type: application/pdf
Type (COBISS): Master's thesis/paper
Study programme: 1000471
Thesis comment: Univ. v Ljubljani, Fak. za računalništvo in informatiko
Pages: 73 str.
ID: 8739554