An architecture of knowledge management system based on agent and ontology

Fu, Ruyan; Yue, Xin; Song, Ming; Xin, Zhanhong

doi:10.1016/s1005-8885(08)60416-1

Cited by 10 publications

(6 citation statements)

References 5 publications

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“…Integration of Diagnosis, Monitoring and Prognosis focuses on forecasting future, minimize maintenance and increase product quality (Singh and Sharma, 2023). Agent-based Information Management Systems share knowledge in diverse environments (Fu et al ., 2008). Knowledge management may connect enterprise maintenance with knowledge management in the enterprise (W. Zhang et al ., 2003), ensuring real-time system awareness.…”

Section: Literature Reviewmentioning

confidence: 99%

Analyzing the role of Multi-Agent Technology in minimizing breakdown probabilities in Manufacturing Industries

Singh,

Sharma,

Sharma

2023

JQME

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Purpose Every company or manufacturing system is vulnerable to breakdowns. This research aims to analyze the role of Multi-Agent Technology (MAT) in minimizing breakdown probabilities in Manufacturing Industries.Design/methodology/approach This study formulated a framework of six factors and twenty-eight variables (explored in the literature). A hybrid approach of Multi-Criteria Decision-Making Technique (MCDM) was employed in the framework to prioritize, rank and establish interrelationships between factors and variables grouped under them.Findings The research findings reveal that the “Manufacturing Process” is the most essential factor, while “Integration Manufacturing with Maintenance” is highly impactful on the other factors to eliminate the flaws that may cause system breakdown. The findings of this study also provide a ranking order for variables to increase the performance of factors that will assist manufacturers in reducing maintenance efforts and enhancing process efficiency.Practical implications The ranking order developed in this study may assist manufacturers in reducing maintenance efforts and enhancing process efficiency. From the manufacturer’s perspective, this research presented MAT as a key aspect in dealing with the complexity of manufacturing operations in manufacturing organizations. This research may assist industrial management with insights into how they can lower the probability of breakdown, which will decrease expenditures, boost productivity and enhance overall efficiency.Originality/value This study is an original contribution to advancing MAT’s theory and empirical applications in manufacturing organizations to decrease breakdown probability.

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Section: Literature Reviewmentioning

confidence: 99%

Analyzing the role of Multi-Agent Technology in minimizing breakdown probabilities in Manufacturing Industries

Singh,

Sharma,

Sharma

2023

JQME

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“…Ontology has also been applied in designing the architecture of the levels of KM system (Fu et al , 2008) but the only study that provides an ontological description of KM technologies is a research conducted by Saito et al (2007). However, they do not express that ontology with a formal language.…”

Section: Literature Reviewmentioning

confidence: 99%

Developing a domain ontology for knowledge management technologies

Hashemi

Khadivar

Shamizanjani

2018

OIR

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Purpose The purpose of this paper is to develop a new ontology for knowledge management (KM) technologies, determining the relationships between these technologies and classification of them. Design/methodology/approach The study applies NOY methodology – named after Natalya F. Noy who initiated this methodology. Protégé software and ontology web language are used for building the ontology. The presented ontology is evaluated with abbreviation and consistency criteria and knowledge retrieval of KM technologies by experts. Findings All the main concepts in the scope of KM technologies are extracted from existing literature. There are 241 words, 49 out of them are domain concepts, eight terms are about taxonomic and non-taxonomic relations, one term relates to data property and 183 terms are instances. These terms are used to develop KM technologies’ ontology based on three factors: facilitating KM processes, supporting KM strategies and the position of technology in the KM technology stage model. The presented ontology is created a common understanding in the field of KM technologies. Research limitations/implications Lack of specific documentary about logic behind decision making and prioritizing criteria in choosing KM technologies. Practical implications Uploading the presented ontology in the web environment provides a platform for knowledge sharing between experts from around the world. In addition, it helps to decide on the choice of KM technologies based on KM processes and KM strategy. Originality/value Among the many categories of KM technologies in literature, there is no classifying according to several criteria simultaneously. This paper contributes to filling this gap and considers KM processes, KM strategy and stages of growth for KM technologies simultaneously to choice the KM technologies and also there exists no formal ontology regarding KM technologies. This study has tried to propose a formal KM technologies’ ontology.

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“…According the enterprise characteristics and demands and related knowledge in RM field 15,16 , the paper designs the architecture of RM service integrated system to support resource sharing, which includes central management, service registry, business process, inner management and external management modules.…”

Section: Architecture Design Of Rm Service Integrated Systemmentioning

confidence: 99%

Design and Application of Rapid Manufacturing Domain Ontology to Support Resource Sharing

Yao

2013

AMR

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Facing the abundant service resources, how to make the heterogeneous distributed resources information system has the meaning that can be understand between man-machine and machines, search conveniently and implement the resources integration, achieve information access and query better as well as the interoperability between systems, it is a challenge it faces which implementing the resources sharing and intelligence services, but also a problem which to improve the service informatization level for RM industries to be solved. To facility services resource sharing in Rapid Manufacturing (RM) industry, mainly discussed demand analysis and establishment principle of RM domain ontology. Based on the many years of experience and enterprise instances, domain ontology was described conceptual and expressed knowledgeable and model structure was established. The knowledge representation method is adopted based on the domain ontology query model and partial examples of service description are given. In order to solve semantic fuzziness and realize integration, interoperability and reusability of enterprise service by building domain ontology which can satisfy shared understanding of interested parties. On this basis, integrated service system architecture was designed to support resource sharing. The methods had been applied preliminarily and would provide the basis for the future work and extended field.

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An architecture of knowledge management system based on agent and ontology

Cited by 10 publications

References 5 publications

Analyzing the role of Multi-Agent Technology in minimizing breakdown probabilities in Manufacturing Industries

Analyzing the role of Multi-Agent Technology in minimizing breakdown probabilities in Manufacturing Industries

Developing a domain ontology for knowledge management technologies

Design and Application of Rapid Manufacturing Domain Ontology to Support Resource Sharing

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