Panos Alexopoulos, M. Wallace, Konstantinos Kafentzis, D. Askounis
{"title":"Towards Effective Enterprise Knowledge Management through Fuzzy Semantics","authors":"Panos Alexopoulos, M. Wallace, Konstantinos Kafentzis, D. Askounis","doi":"10.1109/ICCGI.2009.47","DOIUrl":null,"url":null,"abstract":"Uncertainty and imprecision are inherent characteristics of human knowledge and their role in knowledge engineering and knowledge-based systems development has been extensively examined in the literature. However, when it comes to enterprise knowledge management, existence of corresponding frameworks that are able to address the issue of knowledge imprecision in a formal and comprehensive way is limited. With that mind, we present in this paper our work in progress on an integrated knowledge management framework that effectively deals with the above limitation through the utilization of fuzzy semantics.","PeriodicalId":201271,"journal":{"name":"2009 Fourth International Multi-Conference on Computing in the Global Information Technology","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Fourth International Multi-Conference on Computing in the Global Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCGI.2009.47","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
Uncertainty and imprecision are inherent characteristics of human knowledge and their role in knowledge engineering and knowledge-based systems development has been extensively examined in the literature. However, when it comes to enterprise knowledge management, existence of corresponding frameworks that are able to address the issue of knowledge imprecision in a formal and comprehensive way is limited. With that mind, we present in this paper our work in progress on an integrated knowledge management framework that effectively deals with the above limitation through the utilization of fuzzy semantics.
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