A QoS Aware, Cognitive Parameters Based Model for the Selection of Semantic Web Services

2010 ◽  
pp. 320-335
Author(s):  
Sandeep Kumar ◽  
Kuldeep Kumar
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
Selection Process ◽  
Service Selection ◽  
Semantic Web Services ◽  
Semantic Web Service ◽  
Web Service Selection ◽  
The One ◽  
Selection Of

Semantic Web service selection is considered as the one of the most important aspects of semantic web service composition process. The Quality of Service (QoS) and cognitive parameters can be a good basis for this selection process. In this paper, we have presented a hybrid selection model for the selection of Semantic Web services based on their QoS and cognitive parameters. The presented model provides a new approach of measuring the QoS parameters in an accurate way and provides a completely novel and formalized measurement of different cognitive parameters.

A structural-semantic web service selection approach to improve retrievability of web services

2016 ◽  
Vol 20 (6) ◽  
pp. 1319-1344 ◽  
Author(s):  
Martin Garriga ◽  
Alan De Renzis ◽  
Ignacio Lizarralde ◽  
Andres Flores ◽  
Cristian Mateos ◽  
...  
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
Service Selection ◽  
Semantic Web Service ◽  
Web Service Selection ◽  
Selection Approach

A Quality Driven Web Service Selection Model

2012 ◽  
pp. 142-164 ◽  
Author(s):  
Pierluigi Plebani ◽  
Filippo Ramoni
Keyword(s):  
Web Services ◽  
Web Service ◽  
Cost Benefit Analysis ◽  
Selection Process ◽  
Service Selection ◽  
User Preferences ◽  
Analytic Hierarchy ◽  
Web Service Selection ◽  
The One ◽  
The Web

The chapter introduces a quality of Web service model which can be exploited by a Web service broker during the Web service selection phase. The model considers both user and provider standpoints. On the one hand, providers express their capabilities with respect to measurable dimensions (e.g., response time, latency). On the other hand, users can define the requirements with a higher level of abstraction (e.g. performance). Since the quality is subjective by definition, the presented quality model also maps the user preferences, i.e., how much a quality dimension is more important than another one in evaluating the overall quality. The Analytic Hierarchy Approach (AHP) has been adopted as a technique for expressing user preferences. The chapter also describes how the model can be exploited in the Web service selection process. Starting from a set of functionally equivalent Web services, the selection process identifies which are the Web services able to satisfy the user requirements. Moreover, according to a cost-benefit analysis, the list of selected Web services is sorted and, as a consequence, the best Web service is identified.

Social Web Services Management

2016 ◽  
pp. 204-220
Author(s):  
Zakaria Maamar ◽  
Noura Faci ◽  
Ejub Kajan ◽  
Emir Ugljanin
Keyword(s):  
Web Services ◽  
Web Service ◽  
Service Use ◽  
Service Selection ◽  
High Availability ◽  
Social Web ◽  
Web Service Selection ◽  
Ongoing Work ◽  
The Web ◽  
Selection Of

As part of our ongoing work on social-intensive Web services, also referred to as social Web services, different types of networks that connect them together are developed. These networks include collaboration, substitution, and competition, and permit the addressing of specific issues related to Web service use such as composition, discovery, and high-availability. “Social” is embraced because of the similarities of situations that Web services run into at run time with situations that people experience daily. Indeed, Web services compete, collaborate, and substitute. This is typical to what people do. This chapter sheds light on some criteria that support Web service selection of a certain network to sign up over another. These criteria are driven by the security means that each network deploys to ensure the safety and privacy of its members from potential attacks. When a Web service signs up in a network, it becomes exposed to both the authority of the network and the existing members in the network as well. These two can check and alter the Web service's credentials, which may jeopardize its reputation and correctness levels.

A Method for Semantic Web Service Selection Based on QoS Ontology

2011 ◽  
Vol 6 (2) ◽  
Author(s):  
Guangjun Guo ◽  
Fei Yu ◽  
Zhigang Chen ◽  
Dong Xie
Keyword(s):  
Semantic Web ◽  
Web Service ◽  
Service Selection ◽  
Semantic Web Service ◽  
Web Service Selection

TOWARDS STANDARD TEST COLLECTIONS FOR THE EMPIRICAL EVALUATION OF SEMANTIC WEB SERVICE APPROACHES

2008 ◽  
Vol 02 (03) ◽  
pp. 381-402 ◽  
Author(s):  
ULRICH KÜSTER ◽  
BIRGITTA KÖNIG-RIES
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
State Of The Art ◽  
Empirical Evaluation ◽  
Standard Test ◽  
Semantic Web Services ◽  
Use Case ◽  
Semantic Web Service ◽  
Test Collections

Semantic web services have received a significant amount of attention in the last years and many frameworks, algorithms and tools leveraging them have been proposed. Nevertheless surprisingly little effort has been put into the evaluation of the approaches so far. The main blocker of thorough evaluations is the lack of large and diverse test collections of semantic web services. In this paper we analyze requirements on such collections and shortcomings of the state-of-the-art in this respect. Our contribution to overcoming those shortcomings is OPOSSum, a portal to support the community to build the necessary standard semantic web service test collections in a collaborative way. We discuss how existing test collections have been integrated with OPOSSum, showcase the benefits of OPOSSum by an illustrative use case and outline next steps towards better standard test collections of semantic web services.

SDMM Based Ranking Mechanism for Semantic Web Services Search

2013 ◽  
Vol 373-375 ◽  
pp. 1853-1858
Author(s):  
Zhi Hao Zeng ◽  
Fu Lu Guo ◽  
Qi Sun
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
Semantic Similarity ◽  
Similarity Measure ◽  
Three Dimensional ◽  
Semantic Web Services ◽  
Semantic Web Service ◽  
Semantic Similarity Measure ◽  
Ranking Mechanism

For search of semantic Web services, a semantic Web services matching results ranking mechanism based on SDMM (semantic distance metric model) is proposed. The calculation of semantic similarity measure can be realized by using this three-dimensional SDMM which is for presenting the semantic relationship of objects defined in ontology, therefore, the semantic Web Service matchmaking results can be ranked in accordance with the semantic similarity measure. The approach based on SDMM significantly improves search accuracy of semantic Web service matchmaking, and enhance users experience of semantic Web services search. By a set of experiments, we demonstrate the benefits and effectiveness of our approach.

scholarly journals QoS-based semantic web service selection

2021 ◽  
Author(s):  
Yijun Chen
Keyword(s):  
Semantic Web ◽  
Web Service ◽  
Service Selection ◽  
Utility Functions ◽  
Semantic Context ◽  
Semantic Web Service ◽  
Web Service Selection ◽  
Dynamic Web ◽  
Qos Parameters ◽  
Dynamic Attributes

This thesis discusses the dynamic web service selection in the semantic context with QoS constraints. The goal of this work is to investigate the mechanism of automated QoS-based semantic web service selection. Semantic Web Service (SWS) aims to achieve the automation of web service tasks, such as service discover, selection, composition and invocation. The task of semantic web service selection is further investigated through this thesis. An architecture is proposed to achieve this task by considering QoS parameters. The QoS parameters are classified into dynamic and static attributes in the architecture. The dynamic attributes are evaluated and measured as an overall value by applying utility functions. This overall value can be modeled in the semantic context for the purpose of service selection. Furthermore, the architecture directly models the static QoS attributes in the semantic context for service selection. Finally, an open SWS challenge scenario named hardware purchasing is used in several experiments in order to evaluate the proposed architecture.

Sign in / Sign up

Export Citation Format

Share Document