{"title":"用于信息处理研究的事件驱动过程方法符号","authors":"L. A. Mylnikov, A. D. Saltykova, Z. Avramovic","doi":"10.3103/S0005105524700183","DOIUrl":null,"url":null,"abstract":"<div><p>This paper addresses the problem of improving information infrastructure and decision support systems in dynamic external and internal organizational environments. It provides an overview of the new event-driven process methodology notation for information infrastructure and the assessing information processing effectiveness. The main types of information processes, their differences and research methods are presented. The procedural models given in this paper are intended for research and comparison of information processes according to specified performance criteria. Different information processes types and their formalization techniques are given.</p></div>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"58 4","pages":"243 - 254"},"PeriodicalIF":0.5000,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Event-Driven Process Methodology Notation for Information Processing Research\",\"authors\":\"L. A. Mylnikov, A. D. Saltykova, Z. Avramovic\",\"doi\":\"10.3103/S0005105524700183\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This paper addresses the problem of improving information infrastructure and decision support systems in dynamic external and internal organizational environments. It provides an overview of the new event-driven process methodology notation for information infrastructure and the assessing information processing effectiveness. The main types of information processes, their differences and research methods are presented. The procedural models given in this paper are intended for research and comparison of information processes according to specified performance criteria. Different information processes types and their formalization techniques are given.</p></div>\",\"PeriodicalId\":42995,\"journal\":{\"name\":\"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS\",\"volume\":\"58 4\",\"pages\":\"243 - 254\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2024-09-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://link.springer.com/article/10.3103/S0005105524700183\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.3103/S0005105524700183","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
Event-Driven Process Methodology Notation for Information Processing Research
This paper addresses the problem of improving information infrastructure and decision support systems in dynamic external and internal organizational environments. It provides an overview of the new event-driven process methodology notation for information infrastructure and the assessing information processing effectiveness. The main types of information processes, their differences and research methods are presented. The procedural models given in this paper are intended for research and comparison of information processes according to specified performance criteria. Different information processes types and their formalization techniques are given.
期刊介绍:
Automatic Documentation and Mathematical Linguistics is an international peer reviewed journal that covers all aspects of automation of information processes and systems, as well as algorithms and methods for automatic language analysis. Emphasis is on the practical applications of new technologies and techniques for information analysis and processing.