{"title":"动作建模与仿真过程中的语义学","authors":"H. Marques, J. M. P. D. Oliveira, P. Costa","doi":"10.1109/DS-RT.2010.32","DOIUrl":null,"url":null,"abstract":"Planning courses of action for a task force component involves analyzing a considerable amount of data, as well as assessing the available options and their respective impact to the operational goals. This is a time consuming process that is dramatically restricted by the currently established doctrine, which allocates a too short period for this task during its decision cycle. An inefficient COA planning generates losses of resources and compromises the ability of a force to achieve the desired effects in each mission. This study investigates the possibilities of using semantics to support courses of action modeling and simulation via a web services architecture. Our preliminary results indicate that with this semantics-based approach it is possible to automatically generate more than one course of action analysis on the basis of the commander´s intent in a timely manner.","PeriodicalId":275623,"journal":{"name":"2010 IEEE/ACM 14th International Symposium on Distributed Simulation and Real Time Applications","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Semantics in Course of Action Modeling and Simulation\",\"authors\":\"H. Marques, J. M. P. D. Oliveira, P. Costa\",\"doi\":\"10.1109/DS-RT.2010.32\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Planning courses of action for a task force component involves analyzing a considerable amount of data, as well as assessing the available options and their respective impact to the operational goals. This is a time consuming process that is dramatically restricted by the currently established doctrine, which allocates a too short period for this task during its decision cycle. An inefficient COA planning generates losses of resources and compromises the ability of a force to achieve the desired effects in each mission. This study investigates the possibilities of using semantics to support courses of action modeling and simulation via a web services architecture. Our preliminary results indicate that with this semantics-based approach it is possible to automatically generate more than one course of action analysis on the basis of the commander´s intent in a timely manner.\",\"PeriodicalId\":275623,\"journal\":{\"name\":\"2010 IEEE/ACM 14th International Symposium on Distributed Simulation and Real Time Applications\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-10-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE/ACM 14th International Symposium on Distributed Simulation and Real Time Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DS-RT.2010.32\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE/ACM 14th International Symposium on Distributed Simulation and Real Time Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DS-RT.2010.32","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Semantics in Course of Action Modeling and Simulation
Planning courses of action for a task force component involves analyzing a considerable amount of data, as well as assessing the available options and their respective impact to the operational goals. This is a time consuming process that is dramatically restricted by the currently established doctrine, which allocates a too short period for this task during its decision cycle. An inefficient COA planning generates losses of resources and compromises the ability of a force to achieve the desired effects in each mission. This study investigates the possibilities of using semantics to support courses of action modeling and simulation via a web services architecture. Our preliminary results indicate that with this semantics-based approach it is possible to automatically generate more than one course of action analysis on the basis of the commander´s intent in a timely manner.