Analiza vzorcev spleta 2.0 v poslovnih spletnih mestih

diplomsko delo univerzitetnega študijskega programa

Jan Zorec Gaberc (Author), Gregor Polančič (Mentor)

Abstract

V diplomski nalogi opredelimo splet 2.0, njegov nastanek ter ključne aplikacije in storitve povezane s to novo generacijo spleta. Največji poudarek damo pregledu in predstavitvi vzorcev, ki se pojavljajo v spletu 2.0. Na osnovi teh zbranih vzorcev naredimo analizo in zastopanost teh vzorcev v štirih različnih poslovno usmerjenih spletnih aplikacijah, in sicer: Amazon.com, LinkedIn, Datalabova partnerska stran in SiteStalk. Glede na zbrane vzorce v tej diplomski nalogi in metodo za identifikacijo teh vzorcev, lahko te vzorce s to metodo identificiramo v poljubni spletni aplikaciji ali na spletni strani. Ustreznost metode lahko preverimo s pomočjo rezultatov identifikacije teh vzorcev v prej omenjenih izbranih spletnih aplikacijah.

Keywords

svetovni splet;vzorci spleta;primerjalna analiza;poslovne informacijske rešitve;

Data

Language:	Slovenian
Year of publishing:	2011
Source:	Maribor
Typology:	2.11 - Undergraduate Thesis
Organization:	UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher:	[J. Zorec Gaberc]
UDC:	004.774(043.2)
COBISS:	15558166
Views:	1586
Downloads:	78
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Analysis of security, privacy and trust of Google Apps
Secondary abstract:	The present thesis addresses Web 2.0, its creation, and key applications and services connected with this new web generation. The main focus is put on overview and presentation of patterns which occur in Web 2.0. On the ground of the collected patterns, an analysis and representation is made on four different business-oriented web applications: Amazon.com, LinkedIn, Datalab partner site and SiteStalk. Considering the collected samples within this thesis and the method for identification of the samples, we can identify the samples with this method in any web application or web page. We can verify the adequacy of the method through results of identification of the samples within formerly mentioned selected web applications.
Secondary keywords:	web applications;comparative analysis;business IT solutions;
URN:	URN:SI:UM:
Type (COBISS):	Undergraduate thesis
Pages:	XVIII, 95 str.
Keywords (UDC):	science and knowledge;organization;computer science;information;documentation;librarianship;institutions;publications;znanost in znanje;organizacije;informacije;dokumentacija;bibliotekarstvo;institucije;publikacije;prolegomena;fundamentals of knowledge and culture;propaedeutics;prolegomena;splošne osnove znanosti in kulture;computer science and technology;computing;data processing;računalniška znanost in tehnologija;računalništvo;obdelava podatkov;computer communication;computer networks;računalniške komunikacije;računalniška omrežja;general networking applications and services;obče omrežne rešitve in storitve;
ID:	1004129