Semantic Knowledge Mining Techniques for Ubiquitous Access Media Usage Analysis

2007 ◽  
pp. 236-262
Author(s):  
John Garofalakis ◽  
Theodoula Giannakoudi ◽  
Yannis Panagis ◽  
Evangelos Sakkopoulos ◽  
Athanasios Tsakalidis
Keyword(s):  
Mobile Devices ◽  
Information Acquisition ◽  
Semantic Knowledge ◽  
Log Analysis ◽  
Semantic Level ◽  
Media Usage ◽  
Ubiquitous Access ◽  
Log File ◽  
Usage Analysis ◽  
The Web

In this chapter, an information acquisition system is proposed which aims to provide log analysis, dealing with ubiquitous access media, by use of semantic knowledge. The lately emerging figure of the semantic Web, the ontologies, may be used to exalt the Web trails to a semantic level so as to reveal their deeper usage information. The proposed architecture, which is presented in detail, intends to overcome mobile devices’ trail duplicates problems and detect semantic operations similarity of server Web services, which are often composed to provide a function. The references that supplement the chapter provide publications that discuss mainly log file mining and analysis and semantic similarity. Useful technology-used URL resources are also provided.

Semantic Knowledge Mining Techniques for Ubiquitous Access Media Usage Analysis

2011 ◽  
pp. 643-664
Author(s):  
John Garofalakis ◽  
Theodoula Giannakoudi ◽  
Yannis Panagis ◽  
Evangelos Sakkopoulos ◽  
Athanasios Tsakalidis
Keyword(s):  
Mobile Devices ◽  
Information Acquisition ◽  
Semantic Knowledge ◽  
Log Analysis ◽  
Semantic Level ◽  
Media Usage ◽  
Ubiquitous Access ◽  
Log File ◽  
Usage Analysis ◽  
The Web

In this chapter, an information acquisition system is proposed which aims to provide log analysis, dealing with ubiquitous access media, by use of semantic knowledge. The lately emerging figure of the semantic Web, the ontologies, may be used to exalt the Web trails to a semantic level so as to reveal their deeper usage information. The proposed architecture, which is presented in detail, intends to overcome mobile devices’ trail duplicates problems and detect semantic operations similarity of server Web services, which are often composed to provide a function. The references that supplement the chapter provide publications that discuss mainly log file mining and analysis and semantic similarity. Useful technology-used URL resources are also provided.

scholarly journals User’s Behaviour inside a Digital Library

Data Mining ◽  
2013 ◽  
pp. 1312-1319
Author(s):  
Marco Scarnò
Keyword(s):  
Data Mining ◽  
Digital Library ◽  
Web Mining ◽  
Dynamic Change ◽  
Web Server ◽  
Scientific Field ◽  
Data Mining Techniques ◽  
Log File ◽  
The Web ◽  
The Way

CASPUR allows many academic Italian institutions located in the Centre-South of Italy to access more than 7 million articles through a digital library platform. The behaviour of its users were analyzed by considering their “traces”, which are stored in the web server log file. Using several web mining and data mining techniques the author discovered a gradual and dynamic change in the way articles are accessed. In particular there is evidence of a journal browsing increase in comparison to the searching mode. Such phenomenon were interpreted using the idea that browsing better meets the needs of users when they want to keep abreast about the latest advances in their scientific field, in comparison to a more generic searching inside the digital library.

scholarly journals Application of Data Mining on Web Usage Data for Security: WebSecuDMiner

2019 ◽  
Author(s):  
Muhammad Zia Aftab Khan ◽  
Jihyun Park
Keyword(s):  
Design Methodology ◽  
Access Pattern ◽  
User Research ◽  
Web Log ◽  
Web Access ◽  
User Access ◽  
Log File ◽  
Access Patterns ◽  
Web Access Pattern ◽  
The Web

The purpose of this paper is to develop WebSecuDMiner algorithm to discover unusual web access patterns based on analysing the potential rules hidden in web server log and user navigation history. Design/methodology/approach: WebSecuDMiner uses equivalence class transformation (ECLAT) algorithm to extract user access patterns from the web log data, which will be used to identify the user access behaviours pattern and detect unusual one. Data extracted from the web serve log and user browsing behaviour is exploited to retrieve the web access pattern that is produced by the same user. Findings: WebSecuDMiner is used to detect whether any unauthorized access have been posed and take appropriate decisions regarding the review of the original rights of suspicious user. Research limitations/implications: The present work uses the database which is extracted from web serve log file and user browsing behaviour. Although the page is viewed by the user, the visit is not recorded in the server log file, since it can be access from the browser's cache.

Firefox OS Ecosystem

2016 ◽  
pp. 440-465
Author(s):  
Ewa Janczukowicz ◽  
Ahmed Bouabdallah ◽  
Arnaud Braud ◽  
Stéphane Tuffin ◽  
Jean-Marie Bonnin
Keyword(s):  
Operating System ◽  
Mobile Devices ◽  
Large Volume ◽  
Mobile Applications ◽  
Important Place ◽  
Web Technologies ◽  
Stable Position ◽  
Common Target ◽  
The Web ◽  
The Way

Firefox OS is an operating system for mobile devices. It is developed by Mozilla and is based on web technologies. Developed applications are therefore not tied to a given type of hardware. Mozilla works on standardisation of Web APIs, so that the device hardware could be accessed more easily. It also introduced its sign-in system for the Web and furthermore, it wants to redefine the way payments work for mobile applications. Firefox OS is not directly competing with Android and iOS, although it has some common target markets with Android. It could be an opportunity to weaken the iOS and Android duopoly. For now it targets users that don't have smartphones yet and is mostly used on low-end devices. The biggest challenge of Firefox OS is to assure a stable position in the mobile OS ecosystem and to get a large volume of users. Mozilla has an ambition to improve the web and make the web the platform. However developing the Firefox OS and ensuring its important place on the market is difficult because of technological and business limits that will be discussed in this chapter.

Digital India

2018 ◽  
pp. 170-184 ◽  
Author(s):  
Amit Kumar Sinha
Keyword(s):  
Mobile Devices ◽  
Rapid Growth ◽  
Low Cost ◽  
The Internet ◽  
Tier 2 ◽  
Internet Users ◽  
Tier 3 ◽  
Changing Demographics ◽  
Minimal Effort ◽  
The Web

E-commerce and internet businesses are driving the rapid growth of the domestic IT-ITeS industry, attracting unprecedented global interest and funding. Indian e-commerce and internet companies are growing rapidly with about 460 million internet users and a tele-density of around 85.2%. Increasing penetration of the internet, adoption of smartphones and minimal effort low-cost mobile devices, changing demographics, mobile-empowered youth, and the emergence of tier 2 and tier 3 cities as major shopping hubs have been driving the growth of the industry, with new retail forces shifting its dynamics. Furthermore, the continued growth of large pure-play organisations that are powerhouses has moved retailers' focus to the web channel. These companies are not only becoming gateways to product research, but have also introduced consumers to new ways of viewing the retail process.

Adaptive Web Presence and Evolution through Web Log Analysis

2011 ◽  
pp. 12-17
Author(s):  
Xueping Li
Keyword(s):  
Web Mining ◽  
Log Analysis ◽  
Electronic Business ◽  
Web Presence ◽  
Web Log ◽  
Significant Challenge ◽  
Web Logs ◽  
Popular Medium ◽  
Potential Customers ◽  
The Web

The Internet has become a popular medium to disseminate information and a new platform to conduct electronic business (e-business) and electronic commerce (e-commerce). With the rapid growth of the WWW and the intensified competition among the businesses, effective web presence is critical to attract potential customers and retain current customer thus the success of the business. This poses a significant challenge because the web is inherently dynamic and web data is more sophisticated, diverse, and dynamic than traditional well-structured data. Web mining is one method to gain insights into how to evolve the web presence and to ultimately produce a predictive model such that the evolution of a given web site can be categorized under its particular context for strategic planning. In particular, web logs contain potentially useful information and the analysis of web log data have opened new avenues to assist the web administrators and designers to establish adaptive web presence and evolution to fit user requirements.

Migrating Web Services in Mobile and Wireless Environments

2011 ◽  
pp. 706-723
Author(s):  
Myung-Woo Park ◽  
Yeon-Seok Kim ◽  
Kyong-Ho Lee
Keyword(s):  
Web Services ◽  
Web Service ◽  
Mobile Devices ◽  
Wireless Network ◽  
Efficient Method ◽  
Source Code ◽  
Context Information ◽  
Wireless Environments ◽  
Migration Method ◽  
The Web

Mobile devices enabled with Web services are being considered as equal participants of the Web services environment. The frequent mobility of devices and the intermittent disconnection of wireless network require migrating or replicating Web services onto adjacent devices appropriately. This article proposes an efficient method for migrating and replicating Web services among mobile devices through code splitting. Specifically, the proposed method splits the source code of a Web service into subcodes based on users’ preferences for its constituent operations. The subcode with a higher preference is migrated earlier than others. The proposed method also replicates a Web service to other devices to enhance its performance by considering context information such as network traffic or the parameter size of its operations. To evaluate the performance of the proposed method, the effect of the code splitting on migration was analyzed. Furthermore, to show the feasibility of the proposed migration method, three application scenarios were devised and implemented.

A Constraint Programming Approach for Web Log Mining

2016 ◽  
Vol 11 (4) ◽  
pp. 24-42 ◽  
Author(s):  
Amina Kemmar ◽  
Yahia Lebbah ◽  
Samir Loudni
Keyword(s):  
Constraint Programming ◽  
Pattern Mining ◽  
Programming Approach ◽  
Web Log Mining ◽  
Web Log ◽  
Web Access ◽  
Log Mining ◽  
Log File ◽  
Access Patterns ◽  
The Web

Mining web access patterns consists in extracting knowledge from server log files. This problem is represented as a sequential pattern mining problem (SPM) which allows to extract patterns which are sequences of accesses that occur frequently in the web log file. There are in the literature many efficient algorithms to solve SMP (e.g., GSP, SPADE, PrefixSpan, WAP-tree, LAPIN, PLWAP). Despite the effectiveness of these methods, they do not allow to express and to handle new constraints defined on patterns, new implementations are required. Recently, many approaches based on constraint programming (CP) was proposed to solve SPM in a declarative and generic way. Since no CP-based approach was applied for mining web access patterns, the authors introduce in this paper an efficient CP-based approach for solving the web log mining problem. They bring back the problem of web log mining to SPM within a CP environment which enables to handle various constraints. Experimental results on non-trivial web log mining problems show the effectiveness of the authors' CP-based mining approach.

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