Sinem Getir, Sebla Demirkol, Moharram Challenger, G. Kardas
{"title":"用于支持语义web的多代理系统的基于gmf的DSML语法工具","authors":"Sinem Getir, Sebla Demirkol, Moharram Challenger, G. Kardas","doi":"10.1145/2095050.2095087","DOIUrl":null,"url":null,"abstract":"Internal complexity of agents makes development of agent-based software systems complicated. On the other hand, MAS implementation becomes even more complex when new requirements and interactions for environments such as the Semantic Web is considered. A Domain Specific Modelling Language (DSML) can provide the required abstraction and hence support a more fruitful methodology for the development of MAS especially working on the new challenging environments like the Semantic Web. In this paper, a graphical syntax tool is introduced in which agent developers can model MASs according to a DSML called Semantic web Enabled Agent Modeling Language, SEA_ML.","PeriodicalId":143880,"journal":{"name":"SPLASH Workshops","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The GMF-based syntax tool of a DSML for the semantic web enabled multi-agent systems\",\"authors\":\"Sinem Getir, Sebla Demirkol, Moharram Challenger, G. Kardas\",\"doi\":\"10.1145/2095050.2095087\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Internal complexity of agents makes development of agent-based software systems complicated. On the other hand, MAS implementation becomes even more complex when new requirements and interactions for environments such as the Semantic Web is considered. A Domain Specific Modelling Language (DSML) can provide the required abstraction and hence support a more fruitful methodology for the development of MAS especially working on the new challenging environments like the Semantic Web. In this paper, a graphical syntax tool is introduced in which agent developers can model MASs according to a DSML called Semantic web Enabled Agent Modeling Language, SEA_ML.\",\"PeriodicalId\":143880,\"journal\":{\"name\":\"SPLASH Workshops\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SPLASH Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2095050.2095087\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SPLASH Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2095050.2095087","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
摘要
代理的内部复杂性使得基于代理的软件系统的开发变得复杂。另一方面，当考虑到诸如语义Web等环境的新需求和交互时，MAS的实现变得更加复杂。领域特定建模语言(Domain Specific modeling Language, DSML)可以提供所需的抽象，从而为MAS的开发提供更有效的方法，特别是在语义网等新的具有挑战性的环境中工作。本文介绍了一种图形化语法工具，agent开发人员可以在该工具中根据语义web支持的agent建模语言SEA_ML对MASs进行建模。
The GMF-based syntax tool of a DSML for the semantic web enabled multi-agent systems
Internal complexity of agents makes development of agent-based software systems complicated. On the other hand, MAS implementation becomes even more complex when new requirements and interactions for environments such as the Semantic Web is considered. A Domain Specific Modelling Language (DSML) can provide the required abstraction and hence support a more fruitful methodology for the development of MAS especially working on the new challenging environments like the Semantic Web. In this paper, a graphical syntax tool is introduced in which agent developers can model MASs according to a DSML called Semantic web Enabled Agent Modeling Language, SEA_ML.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
