Web Services Selection Based on Mixed Context and Quality of Service Ontology

Keskes, Nabil; Lehireche, Ahmed; Rahmoun, Abdellatif

doi:10.5539/cis.v4n3p138

Cited by 9 publications

(5 citation statements)

References 16 publications

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“…A new model for web service selection (Keskesl et al, 2010), based on a mixed context and QoS ontology. The authors particularly show how this approach can be made to support an e-commerce framework and how it can add dynamics to B2B interactions by automating selection among heterogeneous services.…”

Section: Web Services Selection Approachesmentioning

confidence: 99%

“…Our approach based on QoS and user profile, it uses all QoS parameter. Ran (2003) The certifier The problem is verify claims with to determine the web service providers matching algorithm Yu and Lin (2007) The performance Defeat and and the effective complexity for of approach large problems Khutade and Phalnikar (2012) The simplicity The matching of this approach algorithm is unable to take a correct decision D' Mello et al (2008) The effective of Only some QoS this approach parameters are considered Alrifai et al (2009) The results This approach is optimality based on a very limited set of architectural requirements Kyriakos and Plexousakis (2007) The functional Only some QoS and non-functional parameters are requirements are used considered Fauvet et al (2007) The dynamicity The rules of this approach definition by the providers is not automatic Berdjouh and Kazar (2009) The performance The approach of the matching based on agent is algorithm not secure Guo et al (2011) The optimality Only some of the matching QoS parameters algorithm are considered Zhang (2014) The optimality The difficulty and the rapidity to choose the of this algorithm optimisation parameters of the swarm algorithm Sachan et al (2014) The efficient Only some QoS of the web parameters are service selection considered Murugesan et al (2014) The optimality The approach of this approach based on agent is not secure Keskesl et al (2010) The consistency This approach and the effectiveness is not precise of this approach Wang et al (2006) The precision This approach and the simplicity does not take of this algorithm into account the users' opinion 3 Web service selection approach based on QoS and user profile Our architecture of web service selection based on QoS and user profile is shown in Figure 1, involves two services. The selection-service allows to select the domain and the QoS request by users.…”

Section: Web Services Selection Approachesmentioning

confidence: 99%

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Web service selection based on QoS and user profile

2020

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The web services are from different sources, heterogeneous, and of large volume. The user is in a crucial situation to select the best web services. The web service selection process aims to discovery the desired web services; as it allows to select the best web services to users' query. In particular, various web services have the same functionalities, so we need another factor to select the desired web services, which is the quality of service (QoS). The QoS has an important role in the web service selection process, it aims to classify the web service that have same functionality. This paper focuses on different concepts of the QoS. We present a new approach that is composed by two services; its role is primarily the best web service selection in relation with users' query and profile. In our approach, a better knowledge of user behavior is important because users can participate in research design and construction. The experiment shows that our method can accurately recommend the needed web services in a faster time.

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Section: Web Services Selection Approachesmentioning

confidence: 99%

Section: Web Services Selection Approachesmentioning

confidence: 99%

Web service selection based on QoS and user profile

2020

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“…Recently, Keskes et al (2010) proposed a model that makes an automatic selection of best service provider that is based on mixed context and QoS ontology for a given set of parameters of QoS. It approach provides interesting benefits for QoS enhancement, allows a well interoperability between heterogeneous services, but disagree in the automatic service selection using multi-dimensional QoS and did not address any issue related to service integration in the limited portable devices.…”

Section: Jsit 151mentioning

confidence: 99%

Ontology and tool support for quality service management

Alti

Boukerram²,

Roose³

2013

Journal of Systems and Information Technology

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Purpose -The purpose of this paper was to design ontology for describing semantic context-aware quality services, and to present a new web management tool that provides a great flexibility and enables automatic semantic adaptation and customization of mobile client services. Design/methodology/approach -The tool is developed using ontology-based approach. This ontology captures a shared conceptual schema common in the tourism domain and maintains semantic quality information in heterogeneous service providers for service model. The results of the tool will be compared to prior works from other quality and distributed based service selection methods for mobile-based application. Findings -The tool support is based in the ontology Context-aware Quality Semantic Web Service called (CxQWS). At the first step, services are defined as a set of semantic metadata, reflecting service requirements and QoS parameters. At the second step, services with a semantic contextual metadata are elaborated. Such a procedure ensures that the selection decisions should be based on the semantic quality representation of the created services. The SELETOR tool results suggest that the level of intelligent method use continue to be high flexibility in World Tourism organisations.Research limitations/implications -The tourism services in a mobile environment have a critical role in creating tourist satisfaction. They are neither a uniform group, nor able to give consistently high service quality. Indeed they have significantly different platforms and a variety of heterogeneous service providers which make the management of service qualities complex. Practical implications -A significant proposition is to integrate new tourism quality attributes of mobile-based application, to provide a dynamic adaptation of selection services based on context metadata parameters (user, environment, device, and service provider context) and the management of the heterogeneity of service needs, of mobile devices capacities and their various communication protocols (GPRS, WIFI, Bluetooth, etc.) as well as the media variety (sound, video, text and image), possibly reflecting the decreased time responses and the increased visibility of standard services management methods. Originality/value -The paper proposes SELECTOR, a dynamic service selection tool based on CxQWS ontology, defined as set of semantic metadata, which context and QoS parameters. The tool is based on semantic services and offer architecture, with three layers (semantic query, management and web services). The most innovative characteristic of the tool is that it profits from the potential of semantic representation techniques to express high level explicit constraints, while they may be useful to guide the selection and adaptation process. This tool provides low adaptation effort, e.g. takes into account all the heterogeneous services as its various communication protocols (GSM, 3G, Bluetooth, etc.) as consequences of self-selection for dynamic context evolution guided by the adaptation policies.

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“…Yu et al [7] present a broker-based architecture to facilitate the selection of QoS-based services. Recent approaches of service selection are deeply involved in semantic manner using ontology which draw the attention of many researchers [8] [9] [10] [11] [12].…”

Section: Numeric Based Qos Matchmakingmentioning

confidence: 99%

SMP-Based Approach for Intelligent Service Interaction

Alhakami¹,

Chen²,

Janicke³

2014

SpecialIssue

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Abstract-Service-oriented computing is establishing itself as a new computing paradigm in which services advertise their capabilities within a network, and then are used, composed and orchestrated by other services and end-users. Whilst many approaches to matching service providers with consumers of their services have been developed in the past, the proposed approach in this paper takes a different view of the problem in that it does not look for the fittest individual utility, but views it as a constrained optimisation problem that matches between a set of services and a set of service requests. Our approach addresses this problem using an adaptation of the well known stable-marriage problem and demonstrates how matching between services and requests to a certain threshold can be expressed. This will contribute a fair assignment between services and requests based on their preferences. As the current state of the service selection process considers only the view of requests, the proposed approach can ensure several features to the services such as service protection and service quality, e.g. it can ensure the preservation of service availability by redirecting a coming request to a similar service if the current service is busy.

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Web Services Selection Based on Mixed Context and Quality of Service Ontology

Cited by 9 publications

References 16 publications

Web service selection based on QoS and user profile

Web service selection based on QoS and user profile

Ontology and tool support for quality service management

SMP-Based Approach for Intelligent Service Interaction

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