{"title":"Linking Knowledge Management Enablers to Business Process Architecture: A Semantic-Driven Approach","authors":"M. Sabri, M. Odeh, M. Saad","doi":"10.1109/ACIT.2018.8672726","DOIUrl":null,"url":null,"abstract":"This paper is aimed at discussing a novel approach in linking Knowledge Management Enablers (KMEs) to an object-based Business Process Architecture (BPA) method using a semantic-driven approach. The semantic enriched Riva BPA (srBPA) has been selected to be linked to the abstract knowledge management enablers' ontology (aKMEOnt). The aKMEOnt has been utilized in order to generate the Essential Business Entities (EBEs) of the srBPA ontology. Linking between these two artifacts is demonstrated using a typical example of the deposits department in banking. In conclusion, this new linkage approach between KMEs and BPA has informed the effectiveness of using semantic KMEs and Semantic Web Rule Language (SWRL) rules in the semi-automatic identification of representative EBEs. These EBEs constitute the first essential building block of the Riva BPA method which drives the development of Units of Work and the subsequent 1st and 2nd cut Riva process architectures.","PeriodicalId":443170,"journal":{"name":"2018 International Arab Conference on Information Technology (ACIT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Arab Conference on Information Technology (ACIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACIT.2018.8672726","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper is aimed at discussing a novel approach in linking Knowledge Management Enablers (KMEs) to an object-based Business Process Architecture (BPA) method using a semantic-driven approach. The semantic enriched Riva BPA (srBPA) has been selected to be linked to the abstract knowledge management enablers' ontology (aKMEOnt). The aKMEOnt has been utilized in order to generate the Essential Business Entities (EBEs) of the srBPA ontology. Linking between these two artifacts is demonstrated using a typical example of the deposits department in banking. In conclusion, this new linkage approach between KMEs and BPA has informed the effectiveness of using semantic KMEs and Semantic Web Rule Language (SWRL) rules in the semi-automatic identification of representative EBEs. These EBEs constitute the first essential building block of the Riva BPA method which drives the development of Units of Work and the subsequent 1st and 2nd cut Riva process architectures.