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Enhance Automatic Web Service Discovery and Composition Using ontology and WordNet

تعزيز الاكتشاف و التجميع الآلي لخدمات الويب باستخدام الانطولوجيا و WORDNET

2008   2   24   0.0 ( 0 )
 Publication date 2018
and research's language is العربية
 Created by Shamra Editor




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Service Oriented Computing (SOC) is changing the way of developing software systems. Each web service has a specific purpose to serve, so it can not satisfy users’ request. In this paper, we propose a Web services composition method based on OWL ontology, and design an automatic system model for services discovery and composition. This method uses domain ontology and WordNet to calculate matching between input and output parameters and uses Category ontology to solve the problem of semantic heterogeneity in web service description. We use services with single input and single output and cost as QoS criteria. This method can enhance the efficiency and accuracy of service composition, and the experiments are used to validate and analyze the proposed system.


Artificial intelligence review:
Research summary
ازدادت أهمية خدمات الويب بعد ظهور الحوسبة السحابية وانتشار الحوسبة خدمية التوجه، مما جعل من الصعب على المستخدمين تجميع خدمات الويب يدوياً. يعرض البحث نظاماً مقترحاً للتجميع الآلي لخدمات الويب باستخدام الانطولوجيا ومرادفات WordNet. يعتمد النظام على اكتشاف خدمات الويب وتجميعها آلياً باستخدام هرمية للمفاهيم المرتبطة بالمجال ضمن ملف انطولوجيا المجال، وتوصيف دلالات واجهات الخدمات وحساب درجة التشابه بينها. كما يقترح خوارزمية لتجميع خدمات الويب آلياً باستخدام كلفة تنفيذ الخدمة كمعيار غير وظيفي يعبر عن جودة الخدمات. تم اختبار النظام باستخدام معايير الحساسية والدقة وF-measure إضافة إلى زمن التجميع، وأظهرت النتائج دقة وفعالية النظام في اكتشاف وتجميع خدمات الويب.
Critical review
تعتبر الدراسة خطوة مهمة في مجال تجميع خدمات الويب آلياً، حيث تقدم حلولاً لمشاكل عدم التجانس الدلالي وتقلل من الزمن اللازم للتجميع. ومع ذلك، يمكن تحسين البحث من خلال اختبار النظام على مجموعة أكبر من البيانات وتوسيع نطاق الاختبارات لتشمل سيناريوهات أكثر تعقيداً. كما يمكن إضافة معايير جودة أخرى لتحسين دقة وفعالية النظام بشكل أكبر.
Questions related to the research
  1. ما هي المشكلة الرئيسية التي يعالجها البحث؟

    يعالج البحث مشكلة تجميع خدمات الويب آلياً باستخدام الانطولوجيا ومرادفات WordNet لحل مشكلة عدم التجانس الدلالي وتقليل الزمن اللازم للتجميع.

  2. ما هي المعايير المستخدمة لتقييم النظام المقترح؟

    تم تقييم النظام باستخدام معايير الحساسية (Recall) والدقة (Precision) وF-measure إضافة إلى زمن التجميع.

  3. كيف يعزز النظام المقترح اكتشاف وتجميع خدمات الويب؟

    يعزز النظام اكتشاف وتجميع خدمات الويب باستخدام هرمية للمفاهيم المرتبطة بالمجال ضمن ملف انطولوجيا المجال، وتوصيف دلالات واجهات الخدمات وحساب درجة التشابه بينها، واستخدام مرادفات WordNet.

  4. ما هي الفائدة من استخدام كلفة تنفيذ الخدمة كمعيار غير وظيفي؟

    استخدام كلفة تنفيذ الخدمة كمعيار غير وظيفي يساعد في الحصول على حل أمثل يرضي المستخدم ويضمن اختيار الخدمات الأقل كلفة، مما يزيد من أمثلية التجميع الآلي.


References used
HAAS, H. and BROWN, A., Web Services Glossary, https://www.w3.org/TR/wsgloss/, January 2018
GE, J., QIU, Y., YIN, S. Web Service Composition Method Based on OWL, IEEE/ International Conference on Computer Science and Software Engineering, Wuhan, Hubei, 2008, pp. 74-77
GULURU, P. New Approaches for Service Composition based on Graph Models, IEEE/ Seventh International Conference on Contemporary Computing (IC3), Noida, 2014, pp. 507-512
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