{"title":"与性能测量系统相关的本体","authors":"S. Chelbi, Nora Taleb","doi":"10.1109/ACIT.2018.8672672","DOIUrl":null,"url":null,"abstract":"The semantic representation of organizations' performance measurement systems is critical in limiting problems arising from the increasing complexity of enterprises. Ontologies offer unambiguous semantics, which allows better information management and facilitates automated reasoning. In this work, a documentary analysis was done to summarize the most commonly cited performance measurement systems in the literature. The article also shows the contribution of using ontological models to support these systems and presents some examples of related work.","PeriodicalId":443170,"journal":{"name":"2018 International Arab Conference on Information Technology (ACIT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Performance Measurement Systems-Related Ontologies\",\"authors\":\"S. Chelbi, Nora Taleb\",\"doi\":\"10.1109/ACIT.2018.8672672\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The semantic representation of organizations' performance measurement systems is critical in limiting problems arising from the increasing complexity of enterprises. Ontologies offer unambiguous semantics, which allows better information management and facilitates automated reasoning. In this work, a documentary analysis was done to summarize the most commonly cited performance measurement systems in the literature. The article also shows the contribution of using ontological models to support these systems and presents some examples of related work.\",\"PeriodicalId\":443170,\"journal\":{\"name\":\"2018 International Arab Conference on Information Technology (ACIT)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Arab Conference on Information Technology (ACIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACIT.2018.8672672\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Arab Conference on Information Technology (ACIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACIT.2018.8672672","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The semantic representation of organizations' performance measurement systems is critical in limiting problems arising from the increasing complexity of enterprises. Ontologies offer unambiguous semantics, which allows better information management and facilitates automated reasoning. In this work, a documentary analysis was done to summarize the most commonly cited performance measurement systems in the literature. The article also shows the contribution of using ontological models to support these systems and presents some examples of related work.
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