Exploiting Wikipedia to support exploratory Arabic search on the web
Other Title(s)
استغلال الويكيبيديا لتدعيم البحث الاستكشافي العربي في الويب
Dissertant
Abid, Ahmad Muhammad Abd al-Aziz
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
2016
English Abstract
Due to the huge amount of data published on the Web, the Web search process has become more difficult, and it is sometimes hard to get the expected results, especially in case of explanatory search when users are unfamiliar with the search domain.
Many efforts have been proposed to support exploratory search on the Web by using different knowledge sources such as DBpedia and Linked Open Data (LOD).
However, these knowledge sources have limited support for the Arabic content, and thus they can be hardly used with queries expressed in Arabic.
In this research, we propose a fully automated approach that is run on query time to support search results for Arabic language by exploiting Wikipedia link structure.
It aims to use the Arabic version of Wikipedia to extract complementary knowledge that is relevant to the search query submitted by the user.
We propose ArabXplore, a system that extracts key entities from search snippets and Wikipedia pages and ranks them based on a new ranking algorithm that is based on the traditional PageRank algorithm.
Finally, a graph is built to visually represent highly ranked topics and their relations to the end user.
Our proposed system was assessed over a dataset of 100 Arabic search queries covering different domains, and results were assessed and rated by a human expert.
The underlying ranking algorithm was also compared with the conventional PageRank.
Results showed that our ranking algorithms outperformed the PageRank algorithm.
Our ranking algorithm achieved 87.7 nDCG and 68.2 MAP while the conventional PageRank achieved 84.5 nDCG and 50.3 MAP.
The source code, test dataset, and complete experimental results are available online on: https://github.com/aabed91/ArabXplore
Main Subjects
Information Technology and Computer Science
No. of Pages
77
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Background and related works.
Chapter Three : Methodology.
Chapter Four : Results and discussion.
Chapter Five : Conclusions.
References.
American Psychological Association (APA)
Abid, Ahmad Muhammad Abd al-Aziz. (2016). Exploiting Wikipedia to support exploratory Arabic search on the web. (Master's theses Theses and Dissertations Master). Islamic University, Palestine (Gaza Strip)
https://search.emarefa.net/detail/BIM-727250
Modern Language Association (MLA)
Abid, Ahmad Muhammad Abd al-Aziz. Exploiting Wikipedia to support exploratory Arabic search on the web. (Master's theses Theses and Dissertations Master). Islamic University. (2016).
https://search.emarefa.net/detail/BIM-727250
American Medical Association (AMA)
Abid, Ahmad Muhammad Abd al-Aziz. (2016). Exploiting Wikipedia to support exploratory Arabic search on the web. (Master's theses Theses and Dissertations Master). Islamic University, Palestine (Gaza Strip)
https://search.emarefa.net/detail/BIM-727250
Language
English
Data Type
Arab Theses
Record ID
BIM-727250
