Ontology-based Arabic documents classification

العناوين الأخرى

تصنيف المستندات العربية استنادا إلى الأنطولوجيا

مقدم أطروحة جامعية

Abu Jasir, Muhammad Marwan Naji

مشرف أطروحة جامعية

Barakah, Ribhi Sulayman

أعضاء اللجنة

Abu-Shaban, Yusuf Nabil
al-Halis, Ala Mustafa

الجامعة

الجامعة الإسلامية

الكلية

كلية تكنولوجيا المعلومات

القسم الأكاديمي

تكنولوجيا المعلومات

دولة الجامعة

فلسطين (قطاع غزة)

الدرجة العلمية

ماجستير

تاريخ الدرجة العلمية

2015

الملخص الإنجليزي

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

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

عدد الصفحات

80

قائمة المحتويات

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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-724513