Ontology-based Arabic documents classification
Other Title(s)
تصنيف المستندات العربية استنادا إلى الأنطولوجيا
Dissertant
Abu Jasir, Muhammad Marwan Naji
Thesis advisor
Comitee Members
Abu-Shaban, Yusuf Nabil
al-Halis, Ala Mustafa
University
Islamic University
Faculty
Faculty of Information Technology
Department
Information Technology
University Country
Palestine (Gaza Strip)
Degree
Master
Degree Date
2015
English Abstract
Automatic documents classification is an important task due to the rapid growth of the number of electronic documents.
Classification aims to assign the document to a predefined category automatically based on its contents.
In general, text classification plays an important role in information extraction and summarization, text retrieval, question answering, e-mail spam detection, web page content filtering, and automatic message routing.
Most existing methods and techniques in the field of documents classification are keyword based without many features.
Even methods that ontology-based classification is limited to English language support.
In this research, we propose an approach to investigate the role of ontology (an Arabic news domain ontology) in Arabic documents classification.
The results show that the proposed ontology-based approach achieves improvement in the process of documents classification based on the different evaluation criteria.
The experimental results show that the accuracy of the approach is 92%.
These results prove that the ontology contribute effectively in the process of Arabic documents classification
Main Subjects
Information Technology and Computer Science
No. of Pages
80
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Background and state of the art.
Chapter Three : Related work.
Chapter Four : The proposed classification approach.
Chapter Five : Experimental results and evaluation.
Chapter Six : Conclusion and future work.
References.
American Psychological Association (APA)
Abu Jasir, Muhammad Marwan Naji. (2015). Ontology-based Arabic documents classification. (Master's theses Theses and Dissertations Master). Islamic University, Palestine (Gaza Strip)
https://search.emarefa.net/detail/BIM-724513
Modern Language Association (MLA)
Abu Jasir, Muhammad Marwan Naji. Ontology-based Arabic documents classification. (Master's theses Theses and Dissertations Master). Islamic University. (2015).
https://search.emarefa.net/detail/BIM-724513
American Medical Association (AMA)
Abu Jasir, Muhammad Marwan Naji. (2015). Ontology-based Arabic documents classification. (Master's theses Theses and Dissertations Master). Islamic University, Palestine (Gaza Strip)
https://search.emarefa.net/detail/BIM-724513
Language
English
Data Type
Arab Theses
Record ID
BIM-724513
