Self-Adaptive QoS-Aware Web Service Discovery Using Ontology Approach

Web Services ◽  
2019 ◽  
pp. 822-841 ◽  
Author(s):  
Nwe Nwe Htay Win ◽  
Bao Jianmin ◽  
Cui Gang ◽  
Saif Ur Rehman
Keyword(s):  
Web Service ◽  
Service Discovery ◽  
Feasible Solution ◽  
Evaluation Criteria ◽  
The Other ◽  
Discovery Process ◽  
User Request ◽  
Adaptive Qos ◽  
Concept Attribute ◽  
Self Adaptive

In recent years, although semantic has been widely used in service discovery mechanisms, it still needs to exploit all semantic aspects included in service documents so that the discovered service can highly be relevant with user request. Moreover, it also needs to consider self-adaptability in discovering the services which can adapt to searching conditions or parameters in order to find other suitable and potential services if no feasible solution could exactly satisfy user QoS requirements. Therefore, this paper proposes a novel self-adaptive QoS-based service discovery mechanism which can adapt the discovery process with the help of semantically structured ontology trees if unexpected results are encountered. The discovery process matches the equivalences between service advertisement and requirement using three similarity evaluation criteria namely concept, attribute and constraint similarity. This discovery process is repeated until feasible solution is found and a set of most suitable services are returned to the users. The authors prototype their system called SQoSD to evaluate the efficiency and adaptability compared with OWLS-CPS and RQSS. The experimental results prove that our mechanism is superior to the other compared mechanisms.

Self-Adaptive QoS-Aware Web Service Discovery using Ontology Approach

2015 ◽  
Vol 7 (3) ◽  
pp. 65-84 ◽  
Author(s):  
Nwe Nwe Htay Win ◽  
Bao Jianmin ◽  
Cui Gang ◽  
Saif Ur Rehman
Keyword(s):  
Web Service ◽  
Service Discovery ◽  
Feasible Solution ◽  
Evaluation Criteria ◽  
Discovery Process ◽  
Web Service Discovery ◽  
User Request ◽  
Adaptive Qos ◽  
Concept Attribute ◽  
Self Adaptive

In recent years, although semantic has been widely used in service discovery mechanisms, it still needs to exploit all semantic aspects included in service documents so that the discovered service can highly be relevant with user request. Moreover, it also needs to consider self-adaptability in discovering the services which can adapt to searching conditions or parameters in order to find other suitable and potential services if no feasible solution could exactly satisfy user QoS requirements. Therefore, this paper proposes a novel self-adaptive QoS-based service discovery mechanism which can adapt the discovery process with the help of semantically structured ontology trees if unexpected results are encountered. The discovery process matches the equivalences between service advertisement and requirement using three similarity evaluation criteria namely concept, attribute and constraint similarity. This discovery process is repeated until feasible solution is found and a set of most suitable services are returned to the users. The authors prototype their system called SQoSD to evaluate the efficiency and adaptability compared with OWLS-CPS and RQSS. The experimental results prove that our mechanism is superior to the other compared mechanisms.

scholarly journals Prefiltering Strategy to Improve Performance of Semantic Web Service Discovery

2015 ◽  
Vol 2015 ◽  
pp. 1-15 ◽  
Author(s):  
Samira Ghayekhloo ◽  
Zeki Bayram
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
Service Discovery ◽  
Recall Rate ◽  
Test Collection ◽  
Second Stage ◽  
User Request ◽  
Client Request ◽  
Semantic Web Service Discovery

Discovery of semantic Web services is a heavyweight task when the number of Web services or the complexity of ontologies increases. In this paper, we present a new logical discovery framework based on semantic description of the capability of Web services and user goals using F-logic. Our framework tackles the scalability problem and improves discovery performance by adding two prefiltering stages to the discovery engine. The first stage is based on ontology comparison of user request and Web service categories. In the second stage, yet more Web services are eliminated based upon a decomposition and analysis of concept and instance attributes used in Web service capabilities and the requested capabilities of the client, resulting in a much smaller pool of Web services that need to be matched against the client request. Our prefiltering approach is evaluated using a new Web service repository, called WSMO-FL test collection. The recall rate of the filtering process is 100% by design, since no relevant Web services are ever eliminated by the two prefiltering stages, and experimental results show that the precision rate is more than 53%.

Semantic Web Services Discovery

2018 ◽  
Vol 14 (4) ◽  
pp. 57-72 ◽  
Author(s):  
Randa Hammami ◽  
Hatem Bellaaj ◽  
Ahmed Hadj Kacem
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
Traditional Method ◽  
Service Discovery ◽  
Semantic Web Services ◽  
Web Service Discovery ◽  
User Request ◽  
Semantic 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.

Web Service Clustering and Data Mining in SOA System

2017 ◽  
pp. 157-177
Author(s):  
Sreeparna Mukherjee ◽  
Asoke Nath
Keyword(s):  
Data Mining ◽  
Web Services ◽  
Web Service ◽  
Service Discovery ◽  
Software Components ◽  
Discovery Process ◽  
Data Mining Techniques ◽  
Web Service Discovery ◽  
Service Clustering ◽  
The Web

The success of the web depended on the fact that it was simple and ubiquitous. Over the years, the web has evolved to become not only the repository for accessing information but also for storing software components. This transformation resulted in increased business needs and with the availability of huge volumes of data and the continuous evolution in Web services functions derive the need of application of data mining in the Web service domain. Here we focus on applying various data mining techniques to the cluster web services to improve the Web service discovery process. We end this with the various challenges that are faced in this process of data mining of web services.

Towards Web Service Discovery Based on Context-Aware

2012 ◽  
Vol 601 ◽  
pp. 325-331
Author(s):  
Shu Gao ◽  
Hua Huang ◽  
Bing Ge
Keyword(s):  
Web Services ◽  
Web Service ◽  
Service Discovery ◽  
The Other ◽  
Context Information ◽  
Context Aware ◽  
Web Service Discovery ◽  
Traditional Service ◽  
Domain Information ◽  
The Web

Nowadays, a lot of services which do not meet user’s the requirements are returned while searching web services with traditional service discovery, and moreover, the efficiency is very low. On the other hand, current service directory specifications do not focus on context-aware. In this paper, a novel, enhanced model for the web service discovery, which is based on context-aware, is proposed, and the context information and domain information are integrated to filter and sort services during the process of service discovery. By this way, the precision and efficiency of the service discovery can be improved.

From User's Goal to Semantic Web Services Discovery

2016 ◽  
pp. 1900-1924
Author(s):  
Houda el Bouhissi ◽  
Mimoun Malki ◽  
Mohamed Amine Sidi Ali Cherif
Keyword(s):  
Web Services ◽  
Web Service ◽  
Service Discovery ◽  
Research Problem ◽  
Discovery Process ◽  
Service Description ◽  
Service Request ◽  
User Expectations ◽  
Medical Analysis ◽  
The Web

The growing number of the Web Services available on the Web without explicit associated semantic descriptions raises a new and challenging research problem: How to discover efficiently the relevant Web Services that fulfill the user expectations. However, many services that are relevant to a specific user service request may not be considered during the service discovery process. In this paper, the authors address the issue of the Web Service discovery given nonexplicit service description semantics that match a specific service request. Their approach is based on a captured user goal from an HTML form and the traceability and involves semantic-based service categorization, semantic discovery and selection of the best Web Service. Furthermore, the authors' proposal employs ontology matching algorithms to match a specific goal to an existing Web Service. An experimental test of the proposed framework related to the Medical Analysis domain is reported, showing the impact of the proposal in decreasing the time and the effort of the discovery process as a whole.

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