Building ontology-based metadata to support Arabic quality assurance documentation

العناوين الأخرى

بناء بيانات وصفية قائمة على الأنطولوجيا لدعم وثائق ضمان الجودة العربية

مقدم أطروحة جامعية

al-Rumayhi, Faysal Muhammad

مشرف أطروحة جامعية

Kayid, Ahmad K. A.

أعضاء اللجنة

al-Sawadi, Hamzah A. A.
Tamimi, Abd al-Fattah A.

الجامعة

جامعة الشرق الأوسط

الكلية

كلية تكنولوجيا المعلومات

القسم الأكاديمي

قسم علم الحاسوب

دولة الجامعة

الأردن

الدرجة العلمية

ماجستير

تاريخ الدرجة العلمية

2017

الملخص الإنجليزي

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.

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الموضوعات

• ضمان الجودة

عدد الصفحات

122

قائمة المحتويات

• APA
• MLA
• AMA

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-762682