A distributed semantic network model for a collaborative intelligent system

López-Moralès, Virgilio; López-Ortega, Omar

doi:10.1007/s10845-005-1661-6

Cited by 20 publications

(3 citation statements)

References 9 publications

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“…On the other hand, it could be a Machine Learning (ML) [118] model used by an element when it is necessary to process some input data or to retrain the model with novel training samples (data-driven resource). Independently of how it is represented within the system, all of the decisions of the system must be based on knowledge [119].…”

Section: Characteristics Of Smart Systemsmentioning

confidence: 99%

Towards a Characterisation of Smart Systems: A Systematic Literature Review

Romero

Guédria

Panetto

et al. 2020

Computers in Industry

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Enterprises and governments are focusing their efforts on reducing the gap between the physical and the digital world to address various challenges. This digital transformation is also characterised by a change of paradigm, based on moving from computer-aided technologies to Smart Systems, which are present in several domains such as Smart Cities, Smart Manufacturing, or Smart Services. In this scenario, the exploration of the conceptualisation of Smart Systems has been addressed in the scientific literature with the objective to understand the characteristics of such systems and the implications of their use. However, there is a lack of a generic view of the concept since most studies focus on specific domains. This view is necessary to provide common ground for the development or implementation of Smart Systems within various domains, specially for those that have not been tackled yet. This work aims at addressing this issue through the exploration and analysis of conceptualisations of Smart Systems and Smartness within the scientific literature. For this purpose, a Systematic Literature Review is performed aiming at gathering papers including definitions of Smart Systems, regardless of the application domain. Text mining processing techniques are applied to obtain insights from the definitions extracted from the collected papers. Considering the findings of the literature review and the analysis of the extracted definitions, we enumerate and describe a set of characteristics of Smart Systems. We also provide a diagrammatic view of the elements of a Smart System and their relationships through a meta-model.

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Section: Characteristics Of Smart Systemsmentioning

confidence: 99%

Towards a Characterisation of Smart Systems: A Systematic Literature Review

Romero

Guédria

Panetto

et al. 2020

Computers in Industry

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“…Jiang et al [21] analyzed the network topological property and structure brittleness in industrial systems and proposed a method for evaluating safety of systems. The distributed semantic network model for a collaborative intelligent system was established based on topological theory [22].…”

Section: Complex Networkmentioning

confidence: 99%

The Process Quality Control Method Based on Coupling Machining Sensor Network

Zhao

Diao

Yao

2014

International Journal of Distributed Sensor Networks

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To monitor the dynamic changes of process quality and reduce the quality fluctuation in machining process, a process quality control method based on coupling machining sensor network (CMSN) is proposed to improve product quality. The advantage of CMSN is to combine the complex network with sensor technology. The purpose of this paper is to explore influence of coupling relationships between machining errors on the product quality by analyzing the stability of CMSN. Firstly, the mapping rules between machining process and network elements are provided to construct the topological model of CMSN. Next some performance indices of sensor nodes are defined and calculated to explore the self-organization stability of CMSN so that the appropriate sensor configuration can be selected to ensure the local stability of machining process. On this basis, the whole stability of CMSN is investigated by analyzing the nodes coupling so that the error accumulations are analyzed to improve product quality. Finally, a case study is provided to verify the feasibility of proposed method, in which Monte Carlo simulation is used to produce required quality data. The whole stability of CMSN for blade machining is discussed. It is expected that the proposed method can provide some guidance for machining process.

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“…This requires rapid adaptive interconnection, interoperability and interoperability in smart WCE [2] [3]. With the continuous development of smart information technology [4], people have also demanded information management and big data decision-making for water conservancy and equipment [5], for driving the water conservancy to become networked and smart [6].…”

Section: Introductionmentioning

confidence: 99%

Semantic Information Modeling and Implementation Method for Water Conservancy Equipment

Wang,

2023

IEEE Access

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Water conservancy equipment (WCE) has a large amount of information, structural heterogeneity and complex relationship leads to the difficulty of semantic interoperability in smart water conservancy. To overcome this issue, we propose the WCE information interaction dimension theory, modeling process and instancing method. First, we analyze the smart water conservancy ontology and information factor, and propose semantic information interaction dimension structure of water conservancy Ontology. Second, we construct the network information model structure of water conservancy, through the relationship degree, a tree model which can realize semantic expression and interoperability is formed through the dimensionality reduction of the model. Third, the component attribute set hierarchical relationship architecture water conservancy information model is established, which use XML language to describe this model. Moreover, the three types of instancing methods are proposed. Through OPC unified architecture (OPC UA) technology, water conservancy information model can implement semantic interoperability. The experimental show that the proposed method of semantic information modeling and semantic interoperability of WCE is feasible, and obvious advantages of complete semantic interoperability than in the model architecture, semantic structure and technical implementation.

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A distributed semantic network model for a collaborative intelligent system

Cited by 20 publications

References 9 publications

Towards a Characterisation of Smart Systems: A Systematic Literature Review

Towards a Characterisation of Smart Systems: A Systematic Literature Review

The Process Quality Control Method Based on Coupling Machining Sensor Network

Semantic Information Modeling and Implementation Method for Water Conservancy Equipment

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