{"title":"Towards Data Awareness by Socio-technological Knowledge Management","authors":"Alexander Heußner, Moritz Höser, Sven Ziemer","doi":"10.5220/0008349602910298","DOIUrl":null,"url":null,"abstract":"In today’s data-centric world, the data-awareness challenge is a crucial touchstone to existing knowledge management technologies. Adaptive, stakeholder-centric knowledge modelling approaches provide a solid ground to tackle this challenge and open the door to enrich knowledge management by a socio-technological perspective. This paper proposes the use of a socio-technological approach to overcome the data-awereness challenge by treating knowledge on data as a crucial business asset. Here, a data awareness generating, iterative, incremental knowledge elicitation technique based on a multi-perspective, multi-modal diagrammatic knowledge representation language serves as proof of concept.","PeriodicalId":133533,"journal":{"name":"International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0008349602910298","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 today’s data-centric world, the data-awareness challenge is a crucial touchstone to existing knowledge management technologies. Adaptive, stakeholder-centric knowledge modelling approaches provide a solid ground to tackle this challenge and open the door to enrich knowledge management by a socio-technological perspective. This paper proposes the use of a socio-technological approach to overcome the data-awereness challenge by treating knowledge on data as a crucial business asset. Here, a data awareness generating, iterative, incremental knowledge elicitation technique based on a multi-perspective, multi-modal diagrammatic knowledge representation language serves as proof of concept.