{"title":"设计一个实用的图形语法","authors":"Leonard Eusebi, S. Guarino","doi":"10.1109/COGSIMA.2017.7929599","DOIUrl":null,"url":null,"abstract":"Modern adversaries have become more proficient in conducting cyber-attacks against our military's command and control (C2) infrastructure. To maintain security against these threats, operators perform a range of high-fidelity security assessments of existing and evolving software systems. This is just one example of the many settings in which massive amounts of data-Big Data-can prove difficult to understand in a timely manner for taking actions and responding to threats. To support such real-time analysis, situation awareness tools must reduce the cognitive load of monitoring multiple large, simultaneous data streams. This paper seeks to provide a Pragmatic Graphical Grammar (PGG) that evolves the concept of graphical grammars into an observability-focused method of data presentation.","PeriodicalId":252066,"journal":{"name":"2017 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Designing a Pragmatic Graphical Grammar\",\"authors\":\"Leonard Eusebi, S. Guarino\",\"doi\":\"10.1109/COGSIMA.2017.7929599\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Modern adversaries have become more proficient in conducting cyber-attacks against our military's command and control (C2) infrastructure. To maintain security against these threats, operators perform a range of high-fidelity security assessments of existing and evolving software systems. This is just one example of the many settings in which massive amounts of data-Big Data-can prove difficult to understand in a timely manner for taking actions and responding to threats. To support such real-time analysis, situation awareness tools must reduce the cognitive load of monitoring multiple large, simultaneous data streams. This paper seeks to provide a Pragmatic Graphical Grammar (PGG) that evolves the concept of graphical grammars into an observability-focused method of data presentation.\",\"PeriodicalId\":252066,\"journal\":{\"name\":\"2017 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)\",\"volume\":\"110 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COGSIMA.2017.7929599\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COGSIMA.2017.7929599","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modern adversaries have become more proficient in conducting cyber-attacks against our military's command and control (C2) infrastructure. To maintain security against these threats, operators perform a range of high-fidelity security assessments of existing and evolving software systems. This is just one example of the many settings in which massive amounts of data-Big Data-can prove difficult to understand in a timely manner for taking actions and responding to threats. To support such real-time analysis, situation awareness tools must reduce the cognitive load of monitoring multiple large, simultaneous data streams. This paper seeks to provide a Pragmatic Graphical Grammar (PGG) that evolves the concept of graphical grammars into an observability-focused method of data presentation.