Web usage mining analysis of federated search tools for Egyptian scholars

Mohamed, Khaled; Hassan, Ahmed

doi:10.1108/00330330810912098

Cited by 12 publications

(17 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This result is consistent with results from the research in (Mohamed and Hassan, 2008). In general, most of the queries were aimed at entertainment and search for news.…”

Section: Why Do They Search the Web?supporting

confidence: 94%

Query classification and study of university students' search trends

Maabreh

Al-Kabi

Alsmadi

2012

Program

View full text Add to dashboard Cite

Purpose -This study is an attempt to develop an automatic identification method for Arabic web queries and divide them into several query types using data mining. In addition, it seeks to evaluate the impact of the academic environment on using the internet. Design/methodology/approach -The web log files were collected from one of the higher institute's servers over a one-month period. A special program was designed and implemented to extract web search queries from these files and also to automatically classify Arabic queries into three query types (i.e. Navigational, Transactional, and Informational queries) based on predefined specifications for each type. Findings -The results indicate that students are slowly and gradually using the internet for more relevant academic purposes. Tests showed that it is possible to automatically classify Arabic queries based on query terms, with 80.6 per cent to 80.2 per cent accuracy for the two phases of the test respectively. In their future strategies, Jordanian universities should apply methods to encourage university students to use the internet for academic purposes. Web search engines in general and Arabic search engines in particular may benefit from the proposed classification method in order to improve the effectiveness and relevancy of their results in accordance with users' needs. Originality/value -Studying internet web logs has been the subject of many papers. However, the particular domain, and the specific focuses on this research are what can distinguish it from the others.

show abstract

“…This result is consistent with results from the research in (Mohamed and Hassan, 2008). In general, most of the queries were aimed at entertainment and search for news.…”

Section: Why Do They Search the Web?supporting

confidence: 94%

Query classification and study of university students' search trends

Maabreh

Al-Kabi

Alsmadi

2012

Program

View full text Add to dashboard Cite

show abstract

“…The data is about Egyptian Scholars' scientific research outcomes and contains both English and Arabic versions [17].…”

Section: Related Workmentioning

confidence: 99%

Web-based Arabic/English duplicate record detection with nested blocking technique

Higazy

Tobely

Yousef

et al. 2013

2013 8th International Conference on Computer Engineering &Amp; Systems (ICCES)

View full text Add to dashboard Cite

Data accuracy and quality affects the success of any business intelligence and data mining solutions. The first step to ensure the data accuracy is to make sure that each real world object is represented once and only once in a certain dataset, this operation becomes more complicated when entities are identified by a string value like the case of person names. These data inaccuracy problems exist due to misspelling and wide range of typographical variations especially with non-Latin languages like Arabic. Up to authors' knowledge, the previously proposed duplicate record detection (DRD) algorithms and frameworks do not support Arabic language and have some configuration difficulties. In this paper an English/Arabic enabled web-based framework is designed and implemented, considering the wide range variations in Arabic language. Improved indexing/blocking techniques used to allow fast processing. The framework is implemented and verified by several case studies. Results showed that the framework has substantial improvements compared to known techniques.Keywords-duplicate record detectio; matching data cleaning; indexing; data integration; entity matching.978-1-4799-0080-0/13/$31.00 ©2013 IEEE

show abstract

“…The services include eLearning [10] and providing access to digital libraries and federated search tools to Egyptian Scholars [11]. However, the use of mobile technologies was not addressed, up to our knowledge till 2012.…”

Section: Introductionmentioning

confidence: 99%

A Mobile-Quiz Application in Egypt

ElYamany

Yousef

2013

2013 Fourth International Conference on E-Learning "Best Practices in Management, Design and Development of E-Courses: Standard

View full text Add to dashboard Cite

Mobile devices such as cell phones become the widest instrument handed in the students daily activities including browsing Internet and sending e-mails. Several countries such as Japan and US have already applied it in the education and learning processes due to its outstanding characteristics including portability and accessibility. In this work, a mobile-quiz application is suggested and described to facilitate the assessment process inside the high-density classrooms and to increase the interactivity among the instructors and students. Also, a case study of the proposed application in a particular academic Egyptian institution is applied and discussed for the first time with respect of our best knowledge. Basically, three different methods have been suggested to settle this application inside the Egyptian academia according to the available e-learning resources. The preliminary outcomes of the conducted experiment demonstrated the possibility of applying mobile devices within the various academic Egyptian environments.

show abstract

Web usage mining analysis of federated search tools for Egyptian scholars

Cited by 12 publications

References 20 publications

Query classification and study of university students' search trends

Query classification and study of university students' search trends

Web-based Arabic/English duplicate record detection with nested blocking technique

A Mobile-Quiz Application in Egypt

Contact Info

Product

Resources

About