Advanced matching function towards linking Arabic ontology with the English WordNet

العناوين الأخرى

خوارزمية ربط مفاهيمي نحو ربط آلي بين المفاهيم العربية و الإنجليزية

مقدم أطروحة جامعية

Milhim, Muhammad M.

مشرف أطروحة جامعية

Jarrar, Mustafa

أعضاء اللجنة

Tamimi, Hashim
Sayrafi, Basim

الجامعة

جامعة بيرزيت

الكلية

كلية الهندسة و التكنولوجيا

القسم الأكاديمي

دائرة علم الحاسوب

دولة الجامعة

فلسطين (الضفة الغربية)

الدرجة العلمية

ماجستير

تاريخ الدرجة العلمية

2012

الملخص الإنجليزي

The major challenge in constructing an Arabic ontology is that it needs many resources, manual work, and semi-manual techniques that require creating a sophisticated tool to ease the process.

Such tool should provide the technique and ability to link and benefit from other existing linguistic resources.

This tool will be used to link between concepts from different multilingual resources, based on a concept matching function.

The matching function is an algorithm that was developed In Birzeit University, by undergraduate students.

It maps Arabic concepts in the Arabic Ontology with their equivalent concepts in the English WordNet.

The existing function carries a certain level of tolerance, but suffers from some limitations in the matching process as it uses fixed parameters.

These parameters are categorized into two main categories of weighing parameters that include; Keyword, Super Type, Sub-type, and Synonyms as its main parts.

The second category is the expansion levels of processed data by this function.

This thesis introduces a novel approach to enhance the matching function, by increasing the accuracy of matching operation, minimizing the resulted errors, and increasing the performance of the algorithm.

The presented solution utilizes machine-learning approach to configure and tune the mentioned parameters.

The followed methodology resulted in an enhancement on the matching operation, where the overall accuracy for the top 15 matched concepts in the enhanced matching function represented in 55% compared to 41% achieved by old version of the matching function, showing a 14% of improvement.

التخصصات الرئيسية

اللغات والآداب المقارنة
تكنولوجيا المعلومات وعلم الحاسوب
اللغة العربية وآدابها

عدد الصفحات

97

قائمة المحتويات

• APA
• MLA
• AMA

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-706603