Search In this Thesis
   Search In this Thesis  
العنوان
A new strategy for intelligent semantic web service discovery /
المؤلف
El-Sayyad, Shimaa Ezzat Ibrahim.
هيئة الاعداد
باحث / شيماء عزت ابراهيم الصياد
مشرف / هشام عرفات علي
مشرف / أحمد إبراهيم صالح
مناقش / مفرح محمد سالم
مناقش / حازم مختار البكرى
الموضوع
Web services. Computer networks. Web databases.
تاريخ النشر
2018.
عدد الصفحات
118 p. :
اللغة
العربية
الدرجة
ماجستير
التخصص
هندسة النظم والتحكم
تاريخ الإجازة
1/10/2018
مكان الإجازة
جامعة المنصورة - كلية الهندسة - Computer Engineering and Control Systems Department
الفهرس
يوجد فقط 14 صفحة متاحة للعرض العام

from 118

from 118

المستخلص

The W3C generally defines web services as: ‘‘software systems that are designed to support interoperable machine-to machine interaction over a network’’, web services can be published, located and accessed using web standard protocols such as: HTTP, SOAP protocols and UDDI which help in data exchange between other web applications. While Web has a huge number of unstructured and distributed services that belong to different domains, WSs Classification (WSC) becomes a significant task, which has brought a lot of interest in the past years as a research area. This paper introduces a new WSC strategy called semantic web service classification (SWSC). The proposed strategy simplifies the classification task by employing a novel dimensionality reduction methodology. This was accomplished by choosing the most descriptive concepts for each target domain class. Ineffective concepts are rejected through a proposed Concept Rejection Space Module. SWSC employs a new ontology based classification technique, which is called Semantic Similarity based Classifier (SSbC). SSbC adds several semantic relations among concepts of the employed domain ontology, and then benefits from these relations to classify an input web service accordingly. Experimental results have shown that SWSC outperforms recent web service classification strategies in terms of accuracy, precision, and recall