{"title":"An Agent Based Dynamic Knowledge Profile Framework","authors":"K. H. Robin, S. Uddin, T. Chowdhury","doi":"10.1109/IC4ME247184.2019.9036544","DOIUrl":null,"url":null,"abstract":"In this research, A Conceptual Framework of the Intelligent Agent-Based Knowledge Profile designed to help people become aware of their skills. It will also analyze their skills, tools, and practices helping them to identify skill gaps if there is any. This is a web-based platform design. Where full mechanisms and functions controlled by automatic bots or intelligent agent through an algorithm specifically designed to meet the purpose. During this study, very few research has found so far related to dynamic Knowledge Profile. The number of research papers, information, and data regarding relevant research is difficult to find. We also have found a similarity between Knowledge profile and Graduate profile. A theoretical framework and structural design have proposed in this research. Also, an algorithm has proposed for comparing data. Basically, this framework raised on some specific components. The user, Intelligent Bot, and Algorithm, these three components are the main pillars of this framework. It is expected that this framework can be used to identify Knowledge Gap in a particular context. This dynamic knowledge profile has been designed in the presence of Intelligent agents. The Intelligent Agent will automatically collect data from a user and provide their Knowledge Status. This dynamic knowledge profile provides positive feedback after the Dataset and Algorithm Experiments on many occasions.","PeriodicalId":368690,"journal":{"name":"2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC4ME247184.2019.9036544","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this research, A Conceptual Framework of the Intelligent Agent-Based Knowledge Profile designed to help people become aware of their skills. It will also analyze their skills, tools, and practices helping them to identify skill gaps if there is any. This is a web-based platform design. Where full mechanisms and functions controlled by automatic bots or intelligent agent through an algorithm specifically designed to meet the purpose. During this study, very few research has found so far related to dynamic Knowledge Profile. The number of research papers, information, and data regarding relevant research is difficult to find. We also have found a similarity between Knowledge profile and Graduate profile. A theoretical framework and structural design have proposed in this research. Also, an algorithm has proposed for comparing data. Basically, this framework raised on some specific components. The user, Intelligent Bot, and Algorithm, these three components are the main pillars of this framework. It is expected that this framework can be used to identify Knowledge Gap in a particular context. This dynamic knowledge profile has been designed in the presence of Intelligent agents. The Intelligent Agent will automatically collect data from a user and provide their Knowledge Status. This dynamic knowledge profile provides positive feedback after the Dataset and Algorithm Experiments on many occasions.