Building ontology-based metadata to support Arabic quality assurance documentation
Other Title(s)
بناء بيانات وصفية قائمة على الأنطولوجيا لدعم وثائق ضمان الجودة العربية
Dissertant
Thesis advisor
Comitee Members
al-Sawadi, Hamzah A. A.
Tamimi, Abd al-Fattah A.
University
Middle East University
Faculty
Faculty of Information Technology
Department
Computer Science Department
University Country
Jordan
Degree
Master
Degree Date
2017
English Abstract
The ontology has a vital role in knowledge management especially for quality assurance department that is based on knowledge abundance.
The primary challenge to build ontology for such big database associated with concept extraction.
This work aims to use a semi-automatic approach using KAON tool Text-To-Onto framework in purpose to extract the proper concepts for the aggregation of Arabic quality assurance documents based on its metadata by using automatic translation tool (Google translate), to translate Arabic documents into an English, so that we can process the documents through the proposed tool.
This study will utilize the experimental methodology and be calculating the error rate in automatic concepts extraction compared with the concepts semi-manually extracted.
The result shows that Text-To-Onto and automatic translation tool (Google translate) framework is considered valuable and efficient approach with maximum error rate 14% and highly sufficient performance with min error rate equal to 6%, which means a success rate of 94%, furthermore the minimum number of relevant concepts retrieved are 69%; also the maximum number of relevant concepts retrieved are 84%.
Which is very good for especially in Arabic ontology building.
also the experiments show the sensitivity of error rate to the data size where the error rate decreases gradually with increasing data size and after particular size, the error rate shows data size independent behaviors, the research recommends to probability build an ontology for quality assurance department based on the concept extracted in.
Main Subjects
Information Technology and Computer Science
Topics
No. of Pages
122
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Literature review and related works.
Chapter Three : The research methodology.
Chapter Four : Experimental results and evaluation.
Chapter Five : Conclusions and future work.
References.
American Psychological Association (APA)
al-Rumayhi, Faysal Muhammad. (2017). Building ontology-based metadata to support Arabic quality assurance documentation. (Master's theses Theses and Dissertations Master). Middle East University, Jordan
https://search.emarefa.net/detail/BIM-762682
Modern Language Association (MLA)
al-Rumayhi, Faysal Muhammad. Building ontology-based metadata to support Arabic quality assurance documentation. (Master's theses Theses and Dissertations Master). Middle East University. (2017).
https://search.emarefa.net/detail/BIM-762682
American Medical Association (AMA)
al-Rumayhi, Faysal Muhammad. (2017). Building ontology-based metadata to support Arabic quality assurance documentation. (Master's theses Theses and Dissertations Master). Middle East University, Jordan
https://search.emarefa.net/detail/BIM-762682
Language
English
Data Type
Arab Theses
Record ID
BIM-762682
