Arabic Webpages Classification Based On Fuzzy Association
Information retrieval from web documents becomes a challenge according to the exponential growth in the number of web pages on the Internet and rapid changes in these pages. So, it is necessary to classify web pages into classes to provide their results for the applied tools to be used which makes information retrieval easier and helps in facilitating applications use on the internet. Web pages classification may be applied for various types of data that are available on the Internet like texts, images, audios and videos. Each type has different algorithms to classify and process. Unfortunately, the classification of Arabic Web pages considering their structure is more difficult. In this paper, the results of the classification of Arabic web pages which is obtained using fuzzy algorithm will be discussed.
Keywords: Webpages, classification, fuzzy logic, Arabic language classification , stem level , word level.
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ABOUT THE AUTHORS
Aayat Shdaifat
got Bs.c degree in Computer Information System from Prince Al-Hussain bin Abdullah II Faculty for Information Technology at Hashemite University in 2006 Then she got M.Sc degree in computer Information System, from King Abdullah II School for Information Technology at University of Jordan in 2009. Since 2011 she is working in Hashemite university as an instructor at Faculty of Science.
Marwah Alian
got the B.Sc degree in Computer Science from Hashimite University in 1999. After graduation, she worked as programmer then as a teacher in many high schools in Jordan then she received the M.Sc degree in Computer Science from University of Jordan in 2007 with a thesis titled as: The Shortest Adaptive Learning Path in eLearning Systems. After graduation she became a member in the technical team of a project called Science Education Enhancement and Development (Seed) supported by Japan International Cooperation Agency (JICA). In 2008 she became a member of Computer Science Department in Science and Information Technology Faculty at Isra University. Since 2011 she became an instructor at Science Faculty in Hashemite University. Ms.Marwah has interest in researches in the area of elearning Systems, Adaptive Learning, Mobile Learning, data mining and Social networks impact. And she has made a number of researches in these areas of research.
Aayat Shdaifat
got Bs.c degree in Computer Information System from Prince Al-Hussain bin Abdullah II Faculty for Information Technology at Hashemite University in 2006 Then she got M.Sc degree in computer Information System, from King Abdullah II School for Information Technology at University of Jordan in 2009. Since 2011 she is working in Hashemite university as an instructor at Faculty of Science.
Marwah Alian
got the B.Sc degree in Computer Science from Hashimite University in 1999. After graduation, she worked as programmer then as a teacher in many high schools in Jordan then she received the M.Sc degree in Computer Science from University of Jordan in 2007 with a thesis titled as: The Shortest Adaptive Learning Path in eLearning Systems. After graduation she became a member in the technical team of a project called Science Education Enhancement and Development (Seed) supported by Japan International Cooperation Agency (JICA). In 2008 she became a member of Computer Science Department in Science and Information Technology Faculty at Isra University. Since 2011 she became an instructor at Science Faculty in Hashemite University. Ms.Marwah has interest in researches in the area of elearning Systems, Adaptive Learning, Mobile Learning, data mining and Social networks impact. And she has made a number of researches in these areas of research.
