IEEE Transactions on Services Computing · 2009 · 164 citations · 49 references
ComputingInformation SystemsInformation TechnologyInformation ArchitectureSystems ArchitectureWeb TechnologiesService DiscoveryService ManagementService-oriented ArchitectureDiscoverySemantic Service DescriptionSemantic WebSemantic Web StandardsService MatchmakingWeb Service ArchitectureWeb ServicesWeb Services Standards
Service‑oriented architectures enable business applications by automatically discovering and composing independently developed Web services, and richer Web service description models that include quality‑of‑service attributes are needed to distinguish functionally equivalent services. This study analyzes the requirements for a semantically rich, QoS‑based Web service description model and proposes a roadmap for extending current standards to support accurate QoS‑based discovery. The authors define QoS for Web services, examine the necessary requirements for a semantically rich QoS‑based description model, and outline a roadmap for extending existing standards to enable effective QoS‑based discovery.
The goal of service oriented architectures (SOAs) is to enable the creation of business applications through the automatic discovery and composition of independently developed and deployed (Web) services. Automatic discovery of Web services (WSs) can be achieved by incorporating semantics into a richer WS description model (WSDM) and by the use of semantic Web (SW) technologies in the WS matchmaking and selection (i.e., discovery) process. A sufficiently rich WSDM should encompass not only functional but also nonfunctional aspects like quality of service (QoS). QoS is a set of performance and domain-dependent attributes that has a substantial impact on WS requesters' expectations. Thus, it can be used for distinguishing between many functionally equivalent WSs that are available nowadays. This paper starts by defining QoS in the context of WSs. Its main contribution is the analysis of the requirements for a semantically rich QoS-based WSDM and an accurate, effective QoS-based WS Discovery (WSDi) process. In addition, a road map of extending current WS standard technologies for realizing semantic, functional, and QoS-based WSDi, respecting the above requirements, is presented.
49
AIMQ: a methodology for information quality assessment
Yang W. Lee, Diane M. Strong, Beverly K. Kahn et al. · Information & Management · 2002 · 1.6K citations
Quality driven web services composition
Liangzhao Zeng, Boualem Benatallah, Marlon Dumas et al. · 2003 · 1.1K citations · Full text
Business, Systems Engineering, Multi-criteria Decision Making +13