{"title":"按系统实体结构组成DEVS模型","authors":"S. Cheon, Doohwan Kim, B. Zeigler","doi":"10.1109/IRI.2008.4583078","DOIUrl":null,"url":null,"abstract":"The structural knowledge of a system represented in system entity structure (SES) supports the handling of organization issue in model compositions. A pruning operation results in a reduced structure, pruned entity structure (PES) that the SES is pruned to meet design objectives. The PES is eventually synthesized into a simulation model by combining it with models in the model base. SES is implemented in XML Metadata using Java language and Sun’s Document Object Models (DOM) specification. The SESBuilder1 software supports natural language input for an SES definition and XML instance generation of its PES. The coupling information expressed in natural language with restricted syntax processed by SESBuilder is used to compose models. As a real example, the compositions of Discrete Event Specification (DEVS) generator models, representing the US Climate Normals, are presented. The example presents the natural language input and XML instances for PES including coupling information in the SESBuilder.","PeriodicalId":169554,"journal":{"name":"2008 IEEE International Conference on Information Reuse and Integration","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"DEVS model composition by system entity structure\",\"authors\":\"S. Cheon, Doohwan Kim, B. Zeigler\",\"doi\":\"10.1109/IRI.2008.4583078\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The structural knowledge of a system represented in system entity structure (SES) supports the handling of organization issue in model compositions. A pruning operation results in a reduced structure, pruned entity structure (PES) that the SES is pruned to meet design objectives. The PES is eventually synthesized into a simulation model by combining it with models in the model base. SES is implemented in XML Metadata using Java language and Sun’s Document Object Models (DOM) specification. The SESBuilder1 software supports natural language input for an SES definition and XML instance generation of its PES. The coupling information expressed in natural language with restricted syntax processed by SESBuilder is used to compose models. As a real example, the compositions of Discrete Event Specification (DEVS) generator models, representing the US Climate Normals, are presented. The example presents the natural language input and XML instances for PES including coupling information in the SESBuilder.\",\"PeriodicalId\":169554,\"journal\":{\"name\":\"2008 IEEE International Conference on Information Reuse and Integration\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-07-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE International Conference on Information Reuse and Integration\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IRI.2008.4583078\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Conference on Information Reuse and Integration","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRI.2008.4583078","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The structural knowledge of a system represented in system entity structure (SES) supports the handling of organization issue in model compositions. A pruning operation results in a reduced structure, pruned entity structure (PES) that the SES is pruned to meet design objectives. The PES is eventually synthesized into a simulation model by combining it with models in the model base. SES is implemented in XML Metadata using Java language and Sun’s Document Object Models (DOM) specification. The SESBuilder1 software supports natural language input for an SES definition and XML instance generation of its PES. The coupling information expressed in natural language with restricted syntax processed by SESBuilder is used to compose models. As a real example, the compositions of Discrete Event Specification (DEVS) generator models, representing the US Climate Normals, are presented. The example presents the natural language input and XML instances for PES including coupling information in the SESBuilder.