Clustering Services Based on Community Detection in Service Networks
المؤلفون المشاركون
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-12-02
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Service-oriented computing has become a promising way to develop software by composing existing services on the Internet.
However, with the increasing number of services on the Internet, how to match requirements and services becomes a difficult problem.
Service clustering has been regarded as one of the effective ways to improve service matching.
Related work shows that structure-related similarity metrics perform better than semantic-related similarity metrics in clustering services.
Therefore, it is of great importance to propose much more useful structure-related similarity metrics to improve the performance of service clustering approaches.
However, in the existing work, this kind of work is very rare.
In this paper, we propose a SCAS (service clustering approach using structural metrics) to group services into different clusters.
SCAS proposes a novel metric A2S (atomic service similarity) to characterize the atomic service similarity as a whole, which is a linear combination of C2S (composite-sharing similarity) and A3S (atomic-service-sharing similarity).
Then, SCAS applies a guided community detection algorithm to group atomic services into clusters.
Experimental results on a real-world data set show that our SCAS performs better than the existing approaches.
Our A2S metric is promising in improving the performance of service clustering approaches.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhou, Shiyuan& Wang, Yinglin. 2019. Clustering Services Based on Community Detection in Service Networks. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1194380
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhou, Shiyuan& Wang, Yinglin. Clustering Services Based on Community Detection in Service Networks. Mathematical Problems in Engineering No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1194380
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhou, Shiyuan& Wang, Yinglin. Clustering Services Based on Community Detection in Service Networks. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1194380
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1194380
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر