Ontology is the formal representation of concepts and their mutual relations. It has wide application potential in the classification of agricultural information, the construction of information and knowledge database...Ontology is the formal representation of concepts and their mutual relations. It has wide application potential in the classification of agricultural information, the construction of information and knowledge database, the research and development of intelligent search engine, as well as the realization of cooperative information service, etc. In this research, an ontology-based agricultural knowledge management system framework is proposed, which includes modules of ontology-based knowledge acquisition, knowledge representation, knowledge organization, and knowledge mining, etc. The key technologies, building tools and applications of the framework are explored. Future researches on the theoretical refinement and intelligent simulation knowledge service are also envisioned.展开更多
The growing demand for health management puts forward high requirements for the quality of health knowledge.A content-based method is proposed to address the current demand for high-quality health knowledge,which eval...The growing demand for health management puts forward high requirements for the quality of health knowledge.A content-based method is proposed to address the current demand for high-quality health knowledge,which evaluates the quality including the certainty,accuracy,and operability of different types of knowledge from the perspectives of authority,precision,and information entropy.Herein,the health knowledge of myocardial infarction is used as an example,and knowledge is first classified into different types and then evaluated.This method is applied to knowledge in the existing health management system and it can support knowledge screening and comparison under the cold start condition.Compared with the current evaluation methods based on knowledge use behavior and utility,the new evaluation method provides a reference for evaluation when the knowledge is first used.The screening of high quality knowledge can help the subsequent application of knowledge and improve user’s compliance.Concurrently,the arrangement of myocardial infarction knowledge can also provide a knowledge reference for patients’daily health management.展开更多
To accelerate the digital transformation of small and medium-sized manufacturing enterprises(SMEs),this study delves into the primary challenges encountered in adopting knowledge management(KM)within these organizatio...To accelerate the digital transformation of small and medium-sized manufacturing enterprises(SMEs),this study delves into the primary challenges encountered in adopting knowledge management(KM)within these organizations and identifies the essential methods for successful implementation.The objective is to provide practical recommendations for the effective adoption of KM.This research suggests that enterprises should promote knowledge management through three key approaches:enhancing employees’cognitive understanding,standardizing knowledge systems,and tailoring business scenarios to meet diverse needs.These findings offer valuable insights into the digital transformation of SMEs in the manufacturing sector,ultimately helping these businesses to remain competitive and innovative in a rapidly changing market.By addressing the specific needs and challenges faced by SMEs,this study aims to contribute to a more comprehensive understanding of how knowledge management can be leveraged to drive digital transformation and improve overall business performance.展开更多
The integration of digital tools and effective knowledge management practices is critical for enhancing administrative efficiency and institutional continuity in higher education. This study investigates the relations...The integration of digital tools and effective knowledge management practices is critical for enhancing administrative efficiency and institutional continuity in higher education. This study investigates the relationships between knowledge modeling, institutional memory, leadership styles, technology, and administrative efficiency at the University of Cape Coast (UCC). The study sought to identify the challenges and opportunities in integrating digital tools into administrative processes and to provide actionable recommendations for improvement. A mixed-methods research design was employed, combining quantitative analysis using Partial Least Squares Structural Equation Modeling (PLS-SEM) with qualitative thematic analysis of interviews. The findings revealed key challenges, including resistance to change, fragmented knowledge repositories, and inadequate funding, alongside opportunities such as centralized knowledge systems, cost-effective open-source tools, and capacity-building initiatives. The study highlights the importance of strategic leadership, robust policies, and investments in digital infrastructure to enhance administrative practices. Policy implications include the need for clear digital transformation guidelines and leadership training to foster innovation and collaboration. Recommendations include investing in scalable digital tools, implementing comprehensive capacity-building programs, and promoting stakeholder engagement to drive successful digital integration. These insights provide a roadmap for UCC and similar institutions seeking to optimize administrative efficiency through digital transformation.展开更多
Remote driving,an emergent technology enabling remote operations of vehicles,presents a significant challenge in transmitting large volumes of image data to a central server.This requirement outpaces the capacity of t...Remote driving,an emergent technology enabling remote operations of vehicles,presents a significant challenge in transmitting large volumes of image data to a central server.This requirement outpaces the capacity of traditional communication methods.To tackle this,we propose a novel framework using semantic communications,through a region of interest semantic segmentation method,to reduce the communication costs by transmitting meaningful semantic information rather than bit-wise data.To solve the knowledge base inconsistencies inherent in semantic communications,we introduce a blockchain-based edge-assisted system for managing diverse and geographically varied semantic segmentation knowledge bases.This system not only ensures the security of data through the tamper-resistant nature of blockchain but also leverages edge computing for efficient management.Additionally,the implementation of blockchain sharding handles differentiated knowledge bases for various tasks,thus boosting overall blockchain efficiency.Experimental results show a great reduction in latency by sharding and an increase in model accuracy,confirming our framework's effectiveness.展开更多
As a typical knowledge-intensive enterprise, knowledge has become the most important capital of the software enterprise, and the accumulation of knowledge, which makes the accumulation of knowledge especially importan...As a typical knowledge-intensive enterprise, knowledge has become the most important capital of the software enterprise, and the accumulation of knowledge, which makes the accumulation of knowledge especially important. Implementing knowledge management can integrate dispersed and unordered knowledge into organic and organizational knowledge system. Effective application and continuous enhancement of organizational knowledge system can from the core competence of software enterprise. For the characteristic that the software enterprise gives priority to software development, the paper uses the knowledge in the process of software development as the core （it is limited to time and energy and doesn＇ t involve the knowledge of the other departments）, and develops the research on the construction of knowledge system of software enterprise. For the knowledge system, the paper constructs and implements a knowledge management platform supporting the operation and management.展开更多
The existing computer and network technology makes the enterprise training transform from the traditional mode into new mode. The paper studies how to combine enterprise knowledge management and network training to ma...The existing computer and network technology makes the enterprise training transform from the traditional mode into new mode. The paper studies how to combine enterprise knowledge management and network training to make the enterprise training meet the demands of knowledge management and improve the competitiveness of enterprises. And the paper puts forwards the new opinion combining enterprise knowledge management and network training system. The purpose of applying knowledge map and knowledge push to training system is to integrate knowledge management into training system to make the enterprises face the challenge of knowledge economy.展开更多
Understanding definitions and differences between the processes,knowledge processes and business processes is the first step of the integration of knowledge processes into management systems of an organization.The nex...Understanding definitions and differences between the processes,knowledge processes and business processes is the first step of the integration of knowledge processes into management systems of an organization.The next step is to understand throughout the company why the processes should be introduced and continuously maintained.The knowledge is one of the most valuable assets of the company,relevant part of the intellectual capital.The management of the knowledge and its lifecycle can give a market advantage for the organization.In the nuclear industry this is the vital requirement to maintain the safe and reliable operation of a nuclear facility,or radiation safety activates.Those companies who already implemented an integrated management system were following international standards,or good practices(like ISO 9001,EFQM,Standard Nuclear Performance Model developed by Nuclear Energy Institute(NEI)and others).This article focuses on nuclear industry organizations,approaches and methods,and how to integrate the knowledge processes into management system.This is the last step of the knowledge management implementation in an organization.When it was done,we can say that the knowledge processes are embedded into organization’s day-to-day life and the knowledge managed in the organization as all other resources.展开更多
For a modem organization, KM （Knowledge Management） plays a critical role in terms of strategy development. Key determinants of KM lead to better understanding of various influences that enable and organisation to f...For a modem organization, KM （Knowledge Management） plays a critical role in terms of strategy development. Key determinants of KM lead to better understanding of various influences that enable and organisation to face competitors. For this reason, sharing and managing knowledge in an organization involves a series of activities that are related to the specific functional aspects of that organisation. In order to foster KM in an organisation, these functional aspects must be understood properly, and within the context of a given organisation, its geographical location and the cultural aspects of the given organisation. This was the premise on which this study was conducted with Indian organisations. A mixed method approach was used to understand the views of Indian region towards KM in this study, be selecting 400 participants in four major each cities. A second order regression model was built using Structural Equation Model to arrive at nine constructs that are relevant to KM in an organisation.展开更多
In order to realize the intelligent management of data mining （DM） domain knowledge, this paper presents an architecture for DM knowledge management based on ontology. Using ontology database, this architecture can ...In order to realize the intelligent management of data mining （DM） domain knowledge, this paper presents an architecture for DM knowledge management based on ontology. Using ontology database, this architecture can realize intelligent knowledge retrieval and automatic accomplishment of DM tasks by means of ontology services. Its key features include：①Describing DM ontology and meta-data using ontology based on Web ontology language （OWL）.② Ontology reasoning function. Based on the existing concepts and relations, the hidden knowledge in ontology can be obtained using the reasoning engine. This paper mainly focuses on the construction of DM ontology and the reasoning of DM ontology based on OWL DL（s）.展开更多
OBJECTIVE:To design a model to capture information on the state and trends of knowledge creation,at both an individual and an organizational level,in order to enhance knowledge management.METHODS:We designed a graph-t...OBJECTIVE:To design a model to capture information on the state and trends of knowledge creation,at both an individual and an organizational level,in order to enhance knowledge management.METHODS:We designed a graph-theoretic knowledge model,the expert knowledge map(EKM),based on literature-based annotation.A case study in the domain of Traditional Chinese Medicine research was used to illustrate the usefulness of the model.RESULTS:The EKM successfully captured various aspects of knowledge and enhanced knowledge management within the case-study organization through the provision of knowledge graphs,expert graphs,and expert-knowledge biography.CONCLUSION:Our model could help to reveal thehot topics,trends,and products of the research done by an organization.It can potentially be used to facilitate knowledge learning,sharing and decision-making among researchers,academicians,students,and administrators of organizations.展开更多
With the development of knowledge economy, the competition between high teehnology enterprises has gradually evolved into the competition of core competence based on knowledge, because high technology enterprises are ...With the development of knowledge economy, the competition between high teehnology enterprises has gradually evolved into the competition of core competence based on knowledge, because high technology enterprises are typical knowledge-based enterprises. Few enterprises, especially for high technology firms, have all of the knowledge they need to compete effectively in the marketplace both at home and abroad, so more and more high technology companies are taking the advantage of strategic alliances to get their complementary knowledge. Since knowledge is the source of an enterprise＇ s competitiveness, knowledge management has become the most important means for enterprises to gain competitive advantage. There has been an increased growth in the literature on strategic alliances in recent decades. But what is less discussed in the existing literature on strategic alliances is the issue of knowledge management of strategic alliances in high technology enterprises. Based on the characteristics of strategic alliances in high technology enterprises, and in line with the implication and the goal of knowledge management, this study tries to delve into this issue. The paper analyzes the key factors relevant to the knowledge management of strategic alliances in high technology enterprises and proposes guidelines on the process and measures that should be taken in the knowledge management of strategic alliances in high technology enterprises.展开更多
The 21 st century is an era of knowledge, know le dge is said to be particularly important. Knowledge and information have become the economy’s primary raw material and its most important outcome. Under increas ingly...The 21 st century is an era of knowledge, know le dge is said to be particularly important. Knowledge and information have become the economy’s primary raw material and its most important outcome. Under increas ingly competitive pressure, many enterprises are examining how they can better m anage their knowledge. During the last years, another concept has gained increas ing interest: knowledge management. The emerging field of knowledge management a ddresses the broad processes of locating, organizing, transferring and more effi ciently using knowledge and expertise within an enterprise. An enterprise’s and its employees’ knowledge is regarded as the most important corporate capital in the arising global information society. Knowledge management therefore aims towa rds improving an enterprise’s ability to acquire, develop, preserve, distribute and use knowledge. This paper describes a conceptual model of knowledge manageme nt and innovation, focusing on analyzing the knowledge management and innovation process, trying to make knowledge more productive and create knowledge more eff iciently. In this paper, an integral and conceptual model of knowledge management and inno vation is presented first; then, the knowledge work process is analyzed, which i s conceptualized as a knowledge spiral; subsequently, knowledge management proce ss is conceptualized into knowledge development, knowledge acquisition, knowledg e transfer, knowledge sharing, knowledge utilization and knowledge evaluatio n, all of which can be conceptualized as a knowledge cycle; furthermore, the fac ilitating conditions for implementing knowledge management are analyzed; in the end, the input-output model of knowledge innovation is given as well as the mai n tools for assisting knowledge management are summarized.展开更多
Design knowledge management is very important toimprove the design process performance. The casebased design (CBD) is a methodology to followmankind's problem solving strategy, one of its aims isto realize the des...Design knowledge management is very important toimprove the design process performance. The casebased design (CBD) is a methodology to followmankind's problem solving strategy, one of its aims isto realize the design knowledge reuse. This methodhas been used in many fields, but there are still somedifficulties that hindered its application. The first isabout the difficulty in the formalization of a designcase, especially representation of some experiencesthat was the weakness in former researches. The second is about the bottleneck of knowledge-acqulsition that results in lacking enough knowledge in the modification process.which may lead to unreliable results when automatic inference is applied.We proposed that modification should be done not by machines but by designers while the inference results can be used as a suggestion to designers.In this manner we integrated both case.based and rule-based methodologies together.The third difficulty relates to case evolution and customization.former CBD systems suffered from this problem.We proposed an agile case-template technique that overcomes the problem perfectly.To make users be able to define their own similarity rules we allow users to choose different parameter weights and fuzzy subjection functions of numeric parameters.The approach of this paper has been applied to an enterprise and the system is built on the Web.展开更多
To support and serve engineering design, creative design based on knowledge management is proposed. The key knowledge factors of creative design are analyzed and discussed, and knowledge extraction tools are utilized ...To support and serve engineering design, creative design based on knowledge management is proposed. The key knowledge factors of creative design are analyzed and discussed, and knowledge extraction tools are utilized to distill the important knowledge to serve for knowledge resource of creative design. The implementation of creative design mode is described and executed, which can promote the intelligent asset of the enterprise and shorten the period of creative design. With this study, design afflatus and conceptual design can be achieved expediently and effectively.展开更多
Promoting the co-constructing and sharing of organizational knowledge and improving organizational performance have always been the core research subject of knowledge management.Existing research focuses on the constr...Promoting the co-constructing and sharing of organizational knowledge and improving organizational performance have always been the core research subject of knowledge management.Existing research focuses on the construction of knowledge management systems and knowledge sharing and transfer mechanisms.With the rapid development and application of cloud computing and big data technology,knowledge management is faced with many problems,such as how to combine with the new generation of information technology,how to achieve integration with organizational business processes,and so on.To solve such problems,this paper proposes a reciprocal collaborative knowledge management model(RCKMmodel)based on cloud computing technology,reciprocity theory,and collaboration technology.RCKM model includes project group management and cloud computing technology,which can realize management,finance,communication,and quality assurance of multiple projects and solve the problem of business integration with knowledge management.This paper designs evaluation methods of tacit knowledge and reciprocity preference based on the Bayesian formula and analyzes their effect with simulation data.The methods can provide quantitative support for the integration of knowledge management and business management to realize reciprocity and collaboration in the RCKM model.The research found that RCKM model can fully use cloud computing technology to promote the integration of knowledge management and organizational business,and the evaluation method based on the Bayesian formula can provide relatively accurate data support for the evaluation and selection of project team members.展开更多
The implementation of knowledge management （KM） in hospitals affects efficiency and outcomes of hospitals. However, few studies explored the implementation of KM in China. Twenty-two questions were designed concerni...The implementation of knowledge management （KM） in hospitals affects efficiency and outcomes of hospitals. However, few studies explored the implementation of KM in China. Twenty-two questions were designed concerning KM implementation status in over 50 hospitals. In order to understand the KM level and attitude to KM of the hospital＇s managers, a random sampling survey was conducted among 138 managers from 50 different scales of hospitals in 15 provinces of China. The survey showed that overall level of KM implementation in Chinese hospitals was still low and differed among different scales of hospitals （P〈0.05, or P〈0.01）. In all the hospitals investigated, 63.8% did not implement KM yet, among which 46% even had not planned for that. 49.8% of the hospitals investigated had no training program about KM ever and the main source of hospital staff to get knowledge was internet. It suggested that hospital managers should make much more efforts to get to know and understand theories on KM, so that hospital KM could be promoted more rapidly.展开更多
Knowledge Management(KM)has become a dynamic concept for inquiry in research.The management of knowledge from multiple sources requires a systematic approach that can facilitate capturing all important aspects related...Knowledge Management(KM)has become a dynamic concept for inquiry in research.The management of knowledge from multiple sources requires a systematic approach that can facilitate capturing all important aspects related to a particular discipline,several KM frameworks have been designed to serve this purpose.This research aims to propose a Collaborative Knowledge Management(CKM)Framework that bridges gaps and overcomes weaknesses in existing frameworks.The paper also validates the framework by evaluating its effectiveness for the agriculture sector of Pakistan.A software LCWU aKMS was developed which serves as a practical implementation of the concepts behind the proposed CKMF framework.LCWU aKMS served as an effective system for rice leaf disease detection and identification.It aimed to enhance CKM through knowledge sharing,lessons learned,feedback on problem resolutions,help from co-workers,collaboration,and helping communities.Data were collected from 300 rice crop farmers by questionnaires based on hypotheses.Jennex Olfman model was used to estimate the effectiveness of CKMF.Various tests were performed including frequency measures of variables,Cronbach’s alpha reliability,and Pearson’s correlation.The research provided a KMS depicting KM and collaborative features.The disease detection module was evaluated using the precision and recall method and found to be 94.16%accurate.The system could replace the work of extension agents,making it a cost and time-effective initiative for farmer betterment.展开更多
基金supported by the National Natural Science Foundation of China (2006AA10Z239)the National Key Technology Research and Development Program of China (2006BAD10A0501)
文摘Ontology is the formal representation of concepts and their mutual relations. It has wide application potential in the classification of agricultural information, the construction of information and knowledge database, the research and development of intelligent search engine, as well as the realization of cooperative information service, etc. In this research, an ontology-based agricultural knowledge management system framework is proposed, which includes modules of ontology-based knowledge acquisition, knowledge representation, knowledge organization, and knowledge mining, etc. The key technologies, building tools and applications of the framework are explored. Future researches on the theoretical refinement and intelligent simulation knowledge service are also envisioned.
基金the National Natural Science Founda-tion of China(Nos.91646205 and 71421002)the Fundamental Research Funds for the Central Universi-ties of China(No.16JCCS08)。
文摘The growing demand for health management puts forward high requirements for the quality of health knowledge.A content-based method is proposed to address the current demand for high-quality health knowledge,which evaluates the quality including the certainty,accuracy,and operability of different types of knowledge from the perspectives of authority,precision,and information entropy.Herein,the health knowledge of myocardial infarction is used as an example,and knowledge is first classified into different types and then evaluated.This method is applied to knowledge in the existing health management system and it can support knowledge screening and comparison under the cold start condition.Compared with the current evaluation methods based on knowledge use behavior and utility,the new evaluation method provides a reference for evaluation when the knowledge is first used.The screening of high quality knowledge can help the subsequent application of knowledge and improve user’s compliance.Concurrently,the arrangement of myocardial infarction knowledge can also provide a knowledge reference for patients’daily health management.
文摘To accelerate the digital transformation of small and medium-sized manufacturing enterprises(SMEs),this study delves into the primary challenges encountered in adopting knowledge management(KM)within these organizations and identifies the essential methods for successful implementation.The objective is to provide practical recommendations for the effective adoption of KM.This research suggests that enterprises should promote knowledge management through three key approaches:enhancing employees’cognitive understanding,standardizing knowledge systems,and tailoring business scenarios to meet diverse needs.These findings offer valuable insights into the digital transformation of SMEs in the manufacturing sector,ultimately helping these businesses to remain competitive and innovative in a rapidly changing market.By addressing the specific needs and challenges faced by SMEs,this study aims to contribute to a more comprehensive understanding of how knowledge management can be leveraged to drive digital transformation and improve overall business performance.
文摘The integration of digital tools and effective knowledge management practices is critical for enhancing administrative efficiency and institutional continuity in higher education. This study investigates the relationships between knowledge modeling, institutional memory, leadership styles, technology, and administrative efficiency at the University of Cape Coast (UCC). The study sought to identify the challenges and opportunities in integrating digital tools into administrative processes and to provide actionable recommendations for improvement. A mixed-methods research design was employed, combining quantitative analysis using Partial Least Squares Structural Equation Modeling (PLS-SEM) with qualitative thematic analysis of interviews. The findings revealed key challenges, including resistance to change, fragmented knowledge repositories, and inadequate funding, alongside opportunities such as centralized knowledge systems, cost-effective open-source tools, and capacity-building initiatives. The study highlights the importance of strategic leadership, robust policies, and investments in digital infrastructure to enhance administrative practices. Policy implications include the need for clear digital transformation guidelines and leadership training to foster innovation and collaboration. Recommendations include investing in scalable digital tools, implementing comprehensive capacity-building programs, and promoting stakeholder engagement to drive successful digital integration. These insights provide a roadmap for UCC and similar institutions seeking to optimize administrative efficiency through digital transformation.
基金supported in part by the National Natural Science Foundation of China under Grant No.62062031in part by the MIC/SCOPE#JP235006102+2 种基金in part by JST ASPIRE Grant Number JPMJAP2325in part by ROIS NII Open Collaborative Research under Grant 24S0601in part by collaborative research with Toyota Motor Corporation,Japan。
文摘Remote driving,an emergent technology enabling remote operations of vehicles,presents a significant challenge in transmitting large volumes of image data to a central server.This requirement outpaces the capacity of traditional communication methods.To tackle this,we propose a novel framework using semantic communications,through a region of interest semantic segmentation method,to reduce the communication costs by transmitting meaningful semantic information rather than bit-wise data.To solve the knowledge base inconsistencies inherent in semantic communications,we introduce a blockchain-based edge-assisted system for managing diverse and geographically varied semantic segmentation knowledge bases.This system not only ensures the security of data through the tamper-resistant nature of blockchain but also leverages edge computing for efficient management.Additionally,the implementation of blockchain sharding handles differentiated knowledge bases for various tasks,thus boosting overall blockchain efficiency.Experimental results show a great reduction in latency by sharding and an increase in model accuracy,confirming our framework's effectiveness.
文摘As a typical knowledge-intensive enterprise, knowledge has become the most important capital of the software enterprise, and the accumulation of knowledge, which makes the accumulation of knowledge especially important. Implementing knowledge management can integrate dispersed and unordered knowledge into organic and organizational knowledge system. Effective application and continuous enhancement of organizational knowledge system can from the core competence of software enterprise. For the characteristic that the software enterprise gives priority to software development, the paper uses the knowledge in the process of software development as the core （it is limited to time and energy and doesn＇ t involve the knowledge of the other departments）, and develops the research on the construction of knowledge system of software enterprise. For the knowledge system, the paper constructs and implements a knowledge management platform supporting the operation and management.
文摘The existing computer and network technology makes the enterprise training transform from the traditional mode into new mode. The paper studies how to combine enterprise knowledge management and network training to make the enterprise training meet the demands of knowledge management and improve the competitiveness of enterprises. And the paper puts forwards the new opinion combining enterprise knowledge management and network training system. The purpose of applying knowledge map and knowledge push to training system is to integrate knowledge management into training system to make the enterprises face the challenge of knowledge economy.
文摘Understanding definitions and differences between the processes,knowledge processes and business processes is the first step of the integration of knowledge processes into management systems of an organization.The next step is to understand throughout the company why the processes should be introduced and continuously maintained.The knowledge is one of the most valuable assets of the company,relevant part of the intellectual capital.The management of the knowledge and its lifecycle can give a market advantage for the organization.In the nuclear industry this is the vital requirement to maintain the safe and reliable operation of a nuclear facility,or radiation safety activates.Those companies who already implemented an integrated management system were following international standards,or good practices(like ISO 9001,EFQM,Standard Nuclear Performance Model developed by Nuclear Energy Institute(NEI)and others).This article focuses on nuclear industry organizations,approaches and methods,and how to integrate the knowledge processes into management system.This is the last step of the knowledge management implementation in an organization.When it was done,we can say that the knowledge processes are embedded into organization’s day-to-day life and the knowledge managed in the organization as all other resources.
文摘For a modem organization, KM （Knowledge Management） plays a critical role in terms of strategy development. Key determinants of KM lead to better understanding of various influences that enable and organisation to face competitors. For this reason, sharing and managing knowledge in an organization involves a series of activities that are related to the specific functional aspects of that organisation. In order to foster KM in an organisation, these functional aspects must be understood properly, and within the context of a given organisation, its geographical location and the cultural aspects of the given organisation. This was the premise on which this study was conducted with Indian organisations. A mixed method approach was used to understand the views of Indian region towards KM in this study, be selecting 400 participants in four major each cities. A second order regression model was built using Structural Equation Model to arrive at nine constructs that are relevant to KM in an organisation.
基金the Natural Science Foundation of Chongqing (CSTC2005BB2190)
文摘In order to realize the intelligent management of data mining （DM） domain knowledge, this paper presents an architecture for DM knowledge management based on ontology. Using ontology database, this architecture can realize intelligent knowledge retrieval and automatic accomplishment of DM tasks by means of ontology services. Its key features include：①Describing DM ontology and meta-data using ontology based on Web ontology language （OWL）.② Ontology reasoning function. Based on the existing concepts and relations, the hidden knowledge in ontology can be obtained using the reasoning engine. This paper mainly focuses on the construction of DM ontology and the reasoning of DM ontology based on OWL DL（s）.
基金Supported by the Ministry of Science and Technology Support Projects(No.12116BAI14A21)
文摘OBJECTIVE:To design a model to capture information on the state and trends of knowledge creation,at both an individual and an organizational level,in order to enhance knowledge management.METHODS:We designed a graph-theoretic knowledge model,the expert knowledge map(EKM),based on literature-based annotation.A case study in the domain of Traditional Chinese Medicine research was used to illustrate the usefulness of the model.RESULTS:The EKM successfully captured various aspects of knowledge and enhanced knowledge management within the case-study organization through the provision of knowledge graphs,expert graphs,and expert-knowledge biography.CONCLUSION:Our model could help to reveal thehot topics,trends,and products of the research done by an organization.It can potentially be used to facilitate knowledge learning,sharing and decision-making among researchers,academicians,students,and administrators of organizations.
文摘With the development of knowledge economy, the competition between high teehnology enterprises has gradually evolved into the competition of core competence based on knowledge, because high technology enterprises are typical knowledge-based enterprises. Few enterprises, especially for high technology firms, have all of the knowledge they need to compete effectively in the marketplace both at home and abroad, so more and more high technology companies are taking the advantage of strategic alliances to get their complementary knowledge. Since knowledge is the source of an enterprise＇ s competitiveness, knowledge management has become the most important means for enterprises to gain competitive advantage. There has been an increased growth in the literature on strategic alliances in recent decades. But what is less discussed in the existing literature on strategic alliances is the issue of knowledge management of strategic alliances in high technology enterprises. Based on the characteristics of strategic alliances in high technology enterprises, and in line with the implication and the goal of knowledge management, this study tries to delve into this issue. The paper analyzes the key factors relevant to the knowledge management of strategic alliances in high technology enterprises and proposes guidelines on the process and measures that should be taken in the knowledge management of strategic alliances in high technology enterprises.
文摘The 21 st century is an era of knowledge, know le dge is said to be particularly important. Knowledge and information have become the economy’s primary raw material and its most important outcome. Under increas ingly competitive pressure, many enterprises are examining how they can better m anage their knowledge. During the last years, another concept has gained increas ing interest: knowledge management. The emerging field of knowledge management a ddresses the broad processes of locating, organizing, transferring and more effi ciently using knowledge and expertise within an enterprise. An enterprise’s and its employees’ knowledge is regarded as the most important corporate capital in the arising global information society. Knowledge management therefore aims towa rds improving an enterprise’s ability to acquire, develop, preserve, distribute and use knowledge. This paper describes a conceptual model of knowledge manageme nt and innovation, focusing on analyzing the knowledge management and innovation process, trying to make knowledge more productive and create knowledge more eff iciently. In this paper, an integral and conceptual model of knowledge management and inno vation is presented first; then, the knowledge work process is analyzed, which i s conceptualized as a knowledge spiral; subsequently, knowledge management proce ss is conceptualized into knowledge development, knowledge acquisition, knowledg e transfer, knowledge sharing, knowledge utilization and knowledge evaluatio n, all of which can be conceptualized as a knowledge cycle; furthermore, the fac ilitating conditions for implementing knowledge management are analyzed; in the end, the input-output model of knowledge innovation is given as well as the mai n tools for assisting knowledge management are summarized.
基金Supported by National High Technolgy Development Plan(2002AA411420)
文摘Design knowledge management is very important toimprove the design process performance. The casebased design (CBD) is a methodology to followmankind's problem solving strategy, one of its aims isto realize the design knowledge reuse. This methodhas been used in many fields, but there are still somedifficulties that hindered its application. The first isabout the difficulty in the formalization of a designcase, especially representation of some experiencesthat was the weakness in former researches. The second is about the bottleneck of knowledge-acqulsition that results in lacking enough knowledge in the modification process.which may lead to unreliable results when automatic inference is applied.We proposed that modification should be done not by machines but by designers while the inference results can be used as a suggestion to designers.In this manner we integrated both case.based and rule-based methodologies together.The third difficulty relates to case evolution and customization.former CBD systems suffered from this problem.We proposed an agile case-template technique that overcomes the problem perfectly.To make users be able to define their own similarity rules we allow users to choose different parameter weights and fuzzy subjection functions of numeric parameters.The approach of this paper has been applied to an enterprise and the system is built on the Web.
基金This project is supported by National Basic Research Program of China(973Program,No.2003CB317005)Shuguang Program of Shanghai City Educational Conunittee China(No.05SG15).
文摘To support and serve engineering design, creative design based on knowledge management is proposed. The key knowledge factors of creative design are analyzed and discussed, and knowledge extraction tools are utilized to distill the important knowledge to serve for knowledge resource of creative design. The implementation of creative design mode is described and executed, which can promote the intelligent asset of the enterprise and shorten the period of creative design. With this study, design afflatus and conceptual design can be achieved expediently and effectively.
基金supported by the research project of the Jiangsu water conservancy science and technology project (Contract Number:2021067).
文摘Promoting the co-constructing and sharing of organizational knowledge and improving organizational performance have always been the core research subject of knowledge management.Existing research focuses on the construction of knowledge management systems and knowledge sharing and transfer mechanisms.With the rapid development and application of cloud computing and big data technology,knowledge management is faced with many problems,such as how to combine with the new generation of information technology,how to achieve integration with organizational business processes,and so on.To solve such problems,this paper proposes a reciprocal collaborative knowledge management model(RCKMmodel)based on cloud computing technology,reciprocity theory,and collaboration technology.RCKM model includes project group management and cloud computing technology,which can realize management,finance,communication,and quality assurance of multiple projects and solve the problem of business integration with knowledge management.This paper designs evaluation methods of tacit knowledge and reciprocity preference based on the Bayesian formula and analyzes their effect with simulation data.The methods can provide quantitative support for the integration of knowledge management and business management to realize reciprocity and collaboration in the RCKM model.The research found that RCKM model can fully use cloud computing technology to promote the integration of knowledge management and organizational business,and the evaluation method based on the Bayesian formula can provide relatively accurate data support for the evaluation and selection of project team members.
文摘The implementation of knowledge management （KM） in hospitals affects efficiency and outcomes of hospitals. However, few studies explored the implementation of KM in China. Twenty-two questions were designed concerning KM implementation status in over 50 hospitals. In order to understand the KM level and attitude to KM of the hospital＇s managers, a random sampling survey was conducted among 138 managers from 50 different scales of hospitals in 15 provinces of China. The survey showed that overall level of KM implementation in Chinese hospitals was still low and differed among different scales of hospitals （P〈0.05, or P〈0.01）. In all the hospitals investigated, 63.8% did not implement KM yet, among which 46% even had not planned for that. 49.8% of the hospitals investigated had no training program about KM ever and the main source of hospital staff to get knowledge was internet. It suggested that hospital managers should make much more efforts to get to know and understand theories on KM, so that hospital KM could be promoted more rapidly.
文摘Knowledge Management(KM)has become a dynamic concept for inquiry in research.The management of knowledge from multiple sources requires a systematic approach that can facilitate capturing all important aspects related to a particular discipline,several KM frameworks have been designed to serve this purpose.This research aims to propose a Collaborative Knowledge Management(CKM)Framework that bridges gaps and overcomes weaknesses in existing frameworks.The paper also validates the framework by evaluating its effectiveness for the agriculture sector of Pakistan.A software LCWU aKMS was developed which serves as a practical implementation of the concepts behind the proposed CKMF framework.LCWU aKMS served as an effective system for rice leaf disease detection and identification.It aimed to enhance CKM through knowledge sharing,lessons learned,feedback on problem resolutions,help from co-workers,collaboration,and helping communities.Data were collected from 300 rice crop farmers by questionnaires based on hypotheses.Jennex Olfman model was used to estimate the effectiveness of CKMF.Various tests were performed including frequency measures of variables,Cronbach’s alpha reliability,and Pearson’s correlation.The research provided a KMS depicting KM and collaborative features.The disease detection module was evaluated using the precision and recall method and found to be 94.16%accurate.The system could replace the work of extension agents,making it a cost and time-effective initiative for farmer betterment.
