Towards enhancing web browsing experience using deep annotation and semantic visualization
Other Title(s)
نحو تحسين تصفح الويب باستخدام الترميز العميق و التصوير الدلالي
Dissertant
Abd al-Al, Hanan Mahmud Abd al-Muti
Thesis advisor
Comitee Members
Mghari, Ashraf Yunus
al-Sayigh, Sana Wafa
University
Islamic University
Faculty
Faculty of Information Technology
University Country
Palestine (Gaza Strip)
Degree
Master
Degree Date
2016
English Abstract
The Semantic Web annotation techniques focus on associating textual content with annotations sfrom external resources.
These annotations included additional information on the annotated terms to help users, as well as machines, to better perceive the content of the text.
The Semantic Web community has proposed several approaches to integrate semantic annotation into the Web browsing activity, and created what so called "Semantic Web browsers".
Despite the affordances of existing Semantic Web browsers, they mostly focus on the semantic annotation process without considering effective ways to improve the user experience.
This research builds on previous efforts on Semantic Web browsers, and seeks additional techniques to make the annotation process more constructive for Web browsing.
We propose two extensions to the semantic annotation process: 1)Deep annotation, which aims to find more extended, correlated and indirectly observable entities even if these entities are not contained in the Web page.
2) a semantic network that visualizes the relationships between the different terms (entities) included in the Web page being browsed.
We think that the proposed techniques will help the user better interpret the Web page content and utilize semantic annotations to gain broader knowledge.
Our proposed annotation process was assessed by three human subjects, and results showed that 94.12% of the retrieved annotations were correct.
Results also indicated that 95.44% of the terms included in the constructed semantic network was correct.
Main Subjects
Information Technology and Computer Science
No. of Pages
73
Table of Contents
Table of contents.
Abstract.
Chapter One : Introduction
Chapter Two : Background.
Chapter Three : State of the art and related works.
Chapter Four : Proposed approach.
Chapter Five : Design and implementation.
Chapter Six : Evaluation.
Chapter Seven : Conclusion and future work.
References.
American Psychological Association (APA)
Abd al-Al, Hanan Mahmud Abd al-Muti. (2016). Towards enhancing web browsing experience using deep annotation and semantic visualization. (Master's theses Theses and Dissertations Master). Islamic University, Palestine (Gaza Strip)
https://search.emarefa.net/detail/BIM-688675
Modern Language Association (MLA)
Abd al-Al, Hanan Mahmud Abd al-Muti. Towards enhancing web browsing experience using deep annotation and semantic visualization. (Master's theses Theses and Dissertations Master). Islamic University. (2016).
https://search.emarefa.net/detail/BIM-688675
American Medical Association (AMA)
Abd al-Al, Hanan Mahmud Abd al-Muti. (2016). Towards enhancing web browsing experience using deep annotation and semantic visualization. (Master's theses Theses and Dissertations Master). Islamic University, Palestine (Gaza Strip)
https://search.emarefa.net/detail/BIM-688675
Language
English
Data Type
Arab Theses
Record ID
BIM-688675
