Semantic Web Service Selection Research Articles

Incorporating blockchain for semantic web service selection (SWSS) method

Incorporating blockchain for semantic web service selection (SWSS) method

A QoS and Cognitive Parameters based Uncertainty Model for Selection of Semantic Web Services

Objectives: The major goal of this research paper is to present a QoS and cognitive parameter based model for selection of semantic web services. The presented model provides a completely novel and formalized measurement of different cognitive parameters. Methods/Statistical analysis: Rule based model is used for describing hierarchical relationships among QoS and cognitive parameters. The short life factor is used for dealing with known certainties lies in these parameters. The certainty factor is computed by using a measure of belief and measure of disbelief. Finally, the computed result is based on the satisfaction level of consumer agent. Findings: The rule base model generated from the hierarchal structure is used for computing CCF of each qualitative and quantitative parameter. As the rule base is generated from the hierarchical tree therefore as tree changes the rule base also changes. It is observed from the result that the overall computational overhead is very less in this cognitive based uncertainty model; it leads to fast, efficient and smart retrieval or selection of services for consumer agent. The proposed approach overcomes limitations of different models by combining several cognitive parameters, focusing on user’s preferences on QoS attributes in an efficient way. Application/Improvements: The predicted applications of proposed model in E-learning, E-governance based systems and identification of web services. The generated rule base is large so by adapting neuro symbolic rules the rule base could be reduced to provide efficient and fast delivery of services.

A QoS-aware approach for runtime discovery, selection and composition of semantic web services

Purpose Web services play vital role in the development of emerging technologies such as Cloud computing and Internet of Things. Although, there is a close relationship among the discovery, selection and composition tasks of Web services, research community has treated these challenges at individual level rather to focus on them collectively for developing efficient solution, which is the purpose of this work. This paper aims to propose an approach to integrate the service discovery, selection and composition of Semantic Web services on runtime basis. Design/methodology/approach The proposed approach defined as a quality of service (QoS)-aware approach is based on QoS model to perform discovery, selection and composition tasks at runtime to enhance the user satisfaction and quality guarantee by incorporating non-functional parameters such as response time and throughput with the Web services and user request. In this paper, the proposed approach is based on ontology for semantic description of Web services, which provides interoperability and automation in the Web services tasks. Findings This work proposed an integrated framework of Web service discovery, selection and composition which supports end user to search, select and compose the Web services at runtime using semantic description and non-functional requirements. The proposed approach is evaluated by various data sets from the Web Service Challenge 2009 (WSC-2009) to show the efficiency of this work. A use case scenario of Healthcare Information System is implemented using proposed work to demonstrate the usability and requirement the proposed approach. Originality/value The main contribution of this paper is to develop an integrated approach of Semantic Web services discovery, selection and composition by using the non-functional requirements.

Comparative Analysis of Semantic Web Service Selection Methods

The objective is to compare semantic web service selection methods based on Quality of Service (QoS) attributes. The investigation is carried out in three phases namely: Preprocessing, discovery and QoS based selection phase. Preprocessing phase deals with registration of services in the repository. Discovery phase deals with retrieval of functionally similar services using matchmaking techniques. The third phase focuses on QoS based selection using three methods namely Analytical Hierarchical Processing (AHP), Logical Scoring Preference with Ordered Weighted Averaging (LSP and OWA) and Fuzzy with Technique for Order Preference by Similarity to an Ideal Solution (Fuzzy Topsis). Further this paper analyzes the selection methods based on range of user preference criteria and compares them using Analysis of variance (ANOVA). It is a statistical hypothesis testing used for making decisions using data. Another objective of this paper is to propose a new approach to improve the performance of service selection using Iterative MapReduce. QWS dataset has been used for analyzing above mentioned three methods. Experimental results show that the Fuzzy Topsis scheme outperforms the other web service selection methods.

Comparative Analysis of Semantic Web Service Selection Methods

Comparative Analysis of Semantic Web Service Selection Methods

Enhancing Fuzzy Topsis for web service selection

With proliferation of web services, quality-of-service QoS capability is becoming a significant factor for distinguishing services. QoS includes various non-functional issues such as performance, reliability and availability, etc. The functional requirements are assured through Semantic Matchmaking algorithm whereas the non functional requirements are guaranteed though QoS factors. Selection of a web service has become very crucial due to the availability of multiple web service with similar functionality. To solve this issue there is a need to distinguish the services based on their non-functional criteria QoS. This paper proposes an enhanced QoS-based semantic web service selection and ranking solution with the application of Fuzzy Topsis method. Further, this paper proposes a new dynamic replication algorithm to increase the availability of the service and decrease network delays. This is demonstrated using a diabetes monitoring system.

A Novel Trust-Aware Composite Semantic Web Service Selection Approach

The functional characteristics and the nonfunctional properties of service profile always play very important roles in composite semantic web service selection approach. But the credibility of this information cannot be guaranteed. This paper established a novel trust degree model of this information. Based on this model, the trust degrees can be calculated from execution log and user experience evaluation of candidate web services. Then the paper proposes a new composite semantic web service selection approach based on this credible information. Finally, we present two experiments to prove that the new approach can avoid the influence of exaggerated and unauthentic information effectively and accurately.

QOS Aware Formalized Model for Semantic Web Service Selection

Selecting the most relevant Web Service according to a client requirement is an onerous task, as innumerous number of functionally same Web Services(WS) are listed in UDDI registry. WS are functionally same but their Quality and performance varies as per service providers. A web Service Selection Process involves two major points: Recommending the pertinent Web Service and avoiding unjustifiable web service. The deficiency in keyword based searching is that it doesn’t handle the client request accurately as keyword may have ambiguous meaning on different scenarios. UDDI and search engines all are based on keyword search, which are lagging behind on pertinent Web service selection. So the search mechanism must be incorporated with the Semantic behavior of Web Services. In order to strengthen this approach, the proposed model is incorporated with Quality of Services (QoS) based Ranking of semantic web services. This paper focuses on various concepts of Quality of Service associated with web services. Various QoS parameters like performance, availability, reliability and stability etc. are formalized in order to enhance the pertinence of web service selection. A QoS mediator agent based Web Service Selection Model is proposed where QoS Consultant acts as a Mediator Agent between clients and service providers. Model suggests user’s preferences on QoS parameter selection. The proposed model helps to select pertinent Web Service as per user’s requirement and reduce the human effort.. Further process of adding ontology with semantic web services is also illustrated here.

Ontological Description and MAS based Composition Process of SWS's for Recruitment Domain

that information is spread over internet and to retrieve useful information easily by mean of intelligent computing is the growing field of research. This need gives birth to semantic web services and various approaches are given for composition of these services. The key problem is to fulfill user's request. Intelligent Agents are used as a powerful approach for semantic web services selection and composition. Agent can be viewed as a self contained autonomous software component or say codes which is used for fulfillment of users request in any domain. Here in this paper semantic web services and agent capability is used for Man-Power Recruitment System (MPRS). Ontology of domain is used as a complete domain knowledge. Tools like Protege is used to create agent profile which shows the ontological description of recruitment domain. This paper focuses on how multi-agent system provides a new variety for recruitment system. This paper also spotlights to show an interactive recruiter for Man-Power Recruitment System (MPRS). Here service selection, task decomposition and service composition process of semantic web is exposed on the basis cognitive parameters, predilection and situation for man-power recruitment system.

MAS based Selection and Composition Process of SWS's for Medical Health Care Planning System

The need of semantic web is growing day by day. Users request fulfillment becomes an important assignment. Agent enables approach becomes key milestone in field of semantic web services selection and composition process. Agent who is a self described and managed software component is used on the basis of its capabilities for users request fulfillment. On the basis of domain ontology agent and SW is used for intelligent access of medical information. This paper focuses on how agent based system opens a new range for health care system that include both patient and provider of health care. This paper also focuses to show an interactive health planner for MEDICAL HEALTH CARE PLANNING SYSTEM (MHPS). Here selection, decomposition and composition process of semantic web services is shown on the basis of various cognitive parameters, preferences and conditions for medical health care planning system. General Terms Semantic web services, Agent, Ontology, Medical healthcare planning.

A Method for Semantic Web Service Selection Based on QoS Ontology

In order to select the proper one from the web service candidate sets which are provided by semantic matching, a method for web service selection with QoS (quality of service) constraints is proposed. In this paper, firstly, the Four-Level Matching Model for Semantic Web Service based on QoS Ontology, which includes Application Domain Matching, Description Matching of Service, Function Matching of Service and QoS Matching, is presented, then, the QoS ontology for web service is constructed and the QoS description information with the QoS concept in OWL-S (Web Ontology Language for Services) model is extended, thirdly, the extensible OWL-SQ model for service description with service semantic and QoS description is presented, and it is QoS supporting and constraining. Then based on decision theory and normalized algorithm, the dimensionless method of QoS properties for un-numerical value type and numerical value type in OWL-SQ model is proposed. Finally, the algorithm for constructing matching matrix of QoS and the service selection method are presented, to evaluate and select optimization candidate web service comprehensively. Test result shows that the efficiency and accuracy of service selection are improved with the service selection method based on OWL-SQ model.

Mediation Spaces for Similarity-Based Semantic Web Services Selection

Semantic Web Services (SWS) aim at the automated discovery, selection and orchestration of Web services based on comprehensive, machine-interpretable semantic descriptions. The latter are, in principle, deployed by multiple possible actors (i.e., service providers and service consumers); thus, a high level of heterogeneity between distinct SWS annotations is expected. Therefore, mediation between concurrent semantic representations of services is a key requirement to fully implement the SWS vision. In this paper, the authors argue that “semantic-level mediation” is necessary to identify semantic similarities across distinct SWS representations. The authors formalize and implement a mediation approach based on “Mediation Spaces” (MS), which enables the implicit representation of semantic similarities among distinct SWS descriptions. As a result, given a specific SWS approach and the proposed MS, a general purpose algorithm is implemented to empower SWS selection with the automatic computation of semantic similarities between a given SWS request and a set of SWS offers. A prototypical application illustrates the approach and highlights the benefits w.r.t. current mediation approaches.

A semantic web technology based framework for educational-offer selection in higher education

Semantic web technology can be applied to a wide range of application domains. Educational-offer selection is an area of the education domain, which can benefit greatly from the application of semantic web technology. The paper explores the educational-offer selection problem as an application of semantic web technology. It specifically deals with the problem of higher education admission. A semantic web-based model for educational-offer selection is presented. Further, Semantic Web Service (SWS) selection and composition models are shown to be applicable to the problem of educational-offer selection. A prototype system, implementing semantic web-based educational-offer selection, is presented.

A Hybrid Model for Service Selection in Semantic Web Service Composition

One of the most important aspects of semantic web service composition process is the selection of most appropriate semantic web service. 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.