Enabling a scalable service-oriented architecture with semantic Web Services

Duke, Alistair; Davies, John; Richardson, Marc

doi:10.1007/s10550-005-0041-2

Cited by 33 publications

(12 citation statements)

References 8 publications

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“…The use of semantic technology to describe, locate and create processes is explained by Davies et al [17], while Duke et al [18] describe a specific application of this approach. With this approach a portal can be used to rapidly create a new process and to manage existing processes.…”

Section: Information Portalsmentioning

confidence: 99%

Next generation knowledge management

Davies¹,

Studer²,

Sure³

et al. 2005

BT Technol J

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Knowledge Management exploded into visibility as a management topic in the mid-1990s with a significant impact in the IT applications area. It has had high visibility for the last decade and, in recent years, has come under some critical scrutiny-questioning the success of many of the attempts to manage knowledge, especially those with an IT focus, as well as some suggestion that it was merely the latest management fad, now facing inevitable decline. As a counter to this, some experts have proposed the emergence of a "next" generation that both resolves the limitations of the previous generation and offers additional understanding that could lead to more successful ventures. A view of the evolution of Knowledge and Knowledge Management through four stages is presented and a composite model for Next Generation Knowledge Management (NGKM) is proposed, derived from the theories presented by several prominent authors.

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Section: Information Portalsmentioning

confidence: 99%

Next generation knowledge management

Davies¹,

Studer²,

Sure³

et al. 2005

BT Technol J

Self Cite

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“…For example, service-oriented architectures (SOAs) [7] and their corresponding web services offer dynamic methods that allow manufacturing enterprises to communicate with their suppliers and customers [4]. However, selecting the most appropriate recommendation technique is still a common challenge among numerous manufacturing enterprises.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Social Network-based Collaborative Filtering Method for Personalized Manufacturing Service Recommendation

Zhang

Yang

et al. 2017

INT J COMPUT COMMUN

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Nowadays, social network-based collaborative filtering (CF) methods are widely applied to recommend suitable products to consumers by combining trust relationships and similarities in the preference ratings among past users. However, these types of methods are rarely used for recommending manufacturing services. Hence, this study has developed a hybrid social network-based CF method for recommending personalized manufacturing services. The trustworthy enterprises and three types of similar enterprises with different features were considered as the four influential components for calculating predicted ratings of candidate services. The stochastic approach for link structure analysis (SALSA) was adopted to select top K trustworthy enterprises while also considering their reputation propagation on enterprise social network. The predicted ratings of candidate services were computed by using an extended user-based CF method where the particle swarm optimization (PSO) algorithm was leveraged to optimize the weights of the four components, thus making service recommendation more objective. Finally, an evaluation experiment illustrated that the proposed method is more accurate than the traditional user-based CF method.

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“…SOA can be defined as a system in which resources are made available to other participants in the network as independent services that are accessed in a standardized way [2]. While potential benefits of SOA are clear, it raises new challenges in the management of DL service metadata, in particular, in dealing with service interoperability.…”

Section: Introductionmentioning

confidence: 99%