Extracting instances to improve semantic matching in the domain of renewable energy

العناوين الأخرى

استخراج الحالات لتحسين المطابقة الدلالي في مجال الطاقة المجددة

مقدم أطروحة جامعية

Ahmad, Saddam Hamdan

مشرف أطروحة جامعية

Kayid, Ahmad K. A.

أعضاء اللجنة

Abu Jassar, Radwan
Ahmad, Ali Asad

الجامعة

جامعة الشرق الأوسط

الكلية

كلية تكنولوجيا المعلومات

القسم الأكاديمي

قسم نظم المعلومات الحاسوبية

دولة الجامعة

الأردن

الدرجة العلمية

ماجستير

تاريخ الدرجة العلمية

2014

الملخص الإنجليزي

Renewable energy (RE) has many resources, and the increased usage of these resources led to the spread of renewable energy applications.

These applications and services are provided by different providers.

Those providers use different architectures for their RE systems which are considered not compatible.

On the other hand, the providers have many ways to describe their services which considered as a big challenge that may face the customers.

This research explores the possibility to automate an environment whereby the customers can find the appropriate services provider that meets their requirements.

Moreover, this research presents ontology in the domain of RE.

This research explores the possibility to measure the distance between the RE providers and customer requirements.

We developed a model to improve semantic matching results by using instances in the domain of RE.

Our model consists three stages as follow: (1) Extracting instances of RE providers (2) Extracting instances of customer requirements (3) Matching process among both extracted instances.

The matching process has done by using semantic similarity measure.

This model suggests an appropriate RE providers that meets customer requirements.

Also during our study, we collected many documents and reports that discussed RE providers and consumer quires to collection their data related to each of them.

Then convert these data into text file in order to extract their instances.

The proposed model is evaluated by comparing the results of our approach with the results of traditional approaches.

The experiments have conducted in order to check the efficiency of the proposed model.

However, the results demonstrated that using instances reduced the error to (10%).

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

عدد الصفحات

148

قائمة المحتويات

• APA
• MLA
• AMA

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-694638