On Knowledge Grid and Grid Intelligence: A Survey

Cheung, William K.; Liu, Jiming

doi:10.1111/j.0824-7935.2005.00267.x

Cited by 9 publications

(3 citation statements)

References 70 publications

(58 reference statements)

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“…Economical context of KG implementation can be fundamentally identified with knowledge economy and in particular with knowledge network (see: Chattopadhyay et al, 2009 andCheung andLiu, 2005). In other words KG is approved when actual or future (including long-term) expectations of users are fulfilled at reasonable costs.…”

Section: Knowledge Grid Aproachesmentioning

confidence: 99%

Usability of Knowledge Grid in Smart City Concepts

Marciniak

Owoc

2013

Proceedings of the 15th International Conference on Enterprise Information Systems

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Knowledge grid (KG) is a promising concept of man-computer global infrastructure aimed at knowledge services, which is being gradually developed. Global infrastructure of modern cities needs to be supported by efficient information and communication technologies considered to be a specific ecosystem. The ultimate goal of this paper is to present ways of implementation KG as some sort of knowledge management in general concepts of smart city (SC). The paper is managed as follows. After short introduction concerning research context the discussed concepts of KG and SC are presented. In the main section reallife examples of SC implementation are investigated in order to identify and describe roles of KG approach in this area. It allows for formulation conclusions on intersection of two approaches investigated.

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Section: Knowledge Grid Aproachesmentioning

confidence: 99%

Usability of Knowledge Grid in Smart City Concepts

Marciniak

Owoc

2013

Proceedings of the 15th International Conference on Enterprise Information Systems

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“…In the planning stage, a composite service (the plan) is either automatically generated or predefined to achieve the goal; in the scheduling stage, real web services are searched, selected and bound to fulfill the plan [4]. In the literature, most projects on service composition focused on the planning stage about plan generation (in AI approaches) or process modeling (in workflow approaches) [1,3].…”

Section: Introductionmentioning

confidence: 99%

Agent-Supported Web Service Composition for Supply Chain Management

Wang

Cheung

Liu

et al. 2006

The 8th IEEE International Conference on E-Commerce Technology and the 3rd IEEE International Conference on Enterprise Computin

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Web service composition requires allocating suitable resources to a set of services that constitute a composite service. The problem is complicated by the fact that the availability of resources may be uncertain and change over time, and the constraints of component services may not be completely known in advance. It needs the ability to rapidly and dynamically identify suitable resources and coordinate them under various constraints. In this paper, an agent mediated coordination framework for web service composition is proposed in the context of e-supply chain management (e-SCM). Global constraints to be satisfied by the composite service are first translated into local constraints of its component services. Service brokering agents dedicated to discovery of component services interact autonomously with each others for refining the local constraints based on the candidate services' instantaneous status until a sufficiently good composition is identified. Although presented in the context of supply chain management, this framework is applicable to other problem areas where a set of services are composed as a result of a large resource repository to be searched, scheduled and coordinated, especially in a real-time fashion..

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“…In this paper, we explore the market-based grid resource trading system from different perspective: the social or behaviorial perspective (Social Intelligence) and the collaborative computing perspective (Grid Intelligence) [16]. The remainder of this paper is structured as follows.…”

Section: Introductionmentioning

confidence: 99%

Simulate Grid Resource Trading via Cognitive Agent: A Case Study

Qiu

Huang

2006

2006 Semantics, Knowledge and Grid, Second International Conference On

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In this paper, we explore the market-based grid resource trading system from the social perspective and the collaborative computing perspective. We firstly introduce a novel framework to simulate the trading system of the grid computing resources, then we give a case study based on this framework. In the case study, an evolutionary dynamics of the resource reservation game is played by agents on the network. We study the evolution of the system with cognitive agents: Study the evolution dynamics of system with agents can automatic adapt to their environment, they can exchange private information and learn experiences from each other. Finally, after analyzing the experiment results, some critical issues about designing the market-based trading system are discussed.

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On Knowledge Grid and Grid Intelligence: A Survey

Cited by 9 publications

References 70 publications

Usability of Knowledge Grid in Smart City Concepts

Usability of Knowledge Grid in Smart City Concepts

Agent-Supported Web Service Composition for Supply Chain Management

Simulate Grid Resource Trading via Cognitive Agent: A Case Study

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