{"title":"基于uml的形式化原型演绎算法及其在地理信息系统中的应用","authors":"F. Pinet, A. Lbath","doi":"10.1109/HCC.2001.995277","DOIUrl":null,"url":null,"abstract":"Stereotypes provide a mechanism for extending the vocabulary of the UML. Present UML-based formalisms for geographic information system use the concept of visual stereotypes in order to represent geographic types. This paper extends the expressiveness of stereotypes currently defined for geographic types and describes an algorithm for the computation of visual stereotypes resulting from aggregation operations.","PeriodicalId":438014,"journal":{"name":"Proceedings IEEE Symposia on Human-Centric Computing Languages and Environments (Cat. No.01TH8587)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"An algorithm for stereotype deduction in UML-based formalism and its application in geographic information systems\",\"authors\":\"F. Pinet, A. Lbath\",\"doi\":\"10.1109/HCC.2001.995277\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Stereotypes provide a mechanism for extending the vocabulary of the UML. Present UML-based formalisms for geographic information system use the concept of visual stereotypes in order to represent geographic types. This paper extends the expressiveness of stereotypes currently defined for geographic types and describes an algorithm for the computation of visual stereotypes resulting from aggregation operations.\",\"PeriodicalId\":438014,\"journal\":{\"name\":\"Proceedings IEEE Symposia on Human-Centric Computing Languages and Environments (Cat. No.01TH8587)\",\"volume\":\"71 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings IEEE Symposia on Human-Centric Computing Languages and Environments (Cat. No.01TH8587)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HCC.2001.995277\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings IEEE Symposia on Human-Centric Computing Languages and Environments (Cat. No.01TH8587)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HCC.2001.995277","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An algorithm for stereotype deduction in UML-based formalism and its application in geographic information systems
Stereotypes provide a mechanism for extending the vocabulary of the UML. Present UML-based formalisms for geographic information system use the concept of visual stereotypes in order to represent geographic types. This paper extends the expressiveness of stereotypes currently defined for geographic types and describes an algorithm for the computation of visual stereotypes resulting from aggregation operations.
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