Constructing a Global Social Service Network for Better Quality of Web Service Discovery

This article describes how Web services play an important role in several fields such as e-commerce and e-health. As the number of Web services is increasing rapidly, finding the best Web service according to users' requirements becomes more challenging. The traditional method of Web service discovery is based on keyword match. Due to this, many Web services which are most relevant to the user request are left undiscoverable. Some other emergent approaches are based on semantics to improve the quality of the discovered Web services in terms of relevance and satisfaction of user's need. In this paper, the authors present a survey of existing semantic Web services discovery approaches giving priority to relevant ones. Furthermore, this paper provides a critical and comparative analysis of the studied approaches and stands out major challenges to be addressed to substantially enhance the semantic Web service discovery.

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Web Service Discovery with Quality of Service (QoS) Parameters using Bayesian Belief Network

Research Journal of Applied Sciences Engineering and Technology ◽

10.19026/rjaset.8.1229 ◽

2014 ◽

Vol 8 (22) ◽

pp. 2272-2281

Author(s):

A. Gnanasekar ◽

R.M. Suresh

Keyword(s):

Quality Of Service ◽

Web Service ◽

Service Discovery ◽

Bayesian Belief Network ◽

Web Service Discovery ◽

Belief Network ◽

Qos Parameters

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Web Service Discovery for Cloud-Based Mobile Application Using Multi-Level Clustering and QoS-Based Ranking

International Journal of Software Engineering and Knowledge Engineering ◽

10.1142/s0218194016500376 ◽

2016 ◽

Vol 26 (07) ◽

pp. 1077-1097

Author(s):

R. Kanesaraj Ramasamy ◽

Fang-Fang Chua ◽

Su-Cheng Haw ◽

Chin-Kuan Ho

Keyword(s):

Web Services ◽

Web Service ◽

Mobile Application ◽

Service Discovery ◽

Service Providers ◽

User Preferences ◽

Web Service Discovery ◽

Multi Level ◽

Searching Performance

Since many service providers are providing similar web services, finding an accurate web service based on user preferences is becoming a challenging task. Therefore, enhancing web service discovery (WSD) method will improve the searching performance. In this paper, we firstly discuss and review some existing web service discovery approaches and identify their limitations. Subsequently, we propose a web service discovery method for cloud-based mobile application by using multi-level clustering technique to improve performance by reducing the searching scope. Our web service discovery architecture is able to increase the discoverability of more accurate web services based on user's preferences. Meanwhile, user preference Quality of Services (QoS) attributes are also used for ranking procedure to allow user to decide the quality of the mobile application. The experimental results show that our approach is able to increase the searching performance and provide a reliable list of selection for users.

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