{"title":"基于策略的Web服务组合","authors":"Soon Ae Chun, V. Atluri, N. Adam","doi":"10.1109/RIDE.2004.1281707","DOIUrl":null,"url":null,"abstract":"With the proliferation of Web technologies, the need to deliver services via the Web has increased tremendously. More and more, customers now demand one-stop service that calls for multiple services crossing organizational boundaries, which are required to be carefully and dynamically composed in a customized manner. Such a composition should not only select the most appropriate available service, but should also adhere to the policies and regulations governing the organizational services. In this paper, we demonstrate how such a composition can be accomplished to form a coherent service flow by using rules and services expressed as a knowledge base and topic ontology. The description of rules with topic concepts allows the system to easily identify the relevant rules in a certain domain and to identify and select appropriate Web services for composition. We consider different types of compositional rules including syntactic, semantic and pragmatic (contextual), which play a major role in the discovery and selection of Web services. We model the knowledge of rules and of the topic ontology using OWL, DAML-S, RuleML and RDF standards.","PeriodicalId":143695,"journal":{"name":"14th International Workshop Research Issues on Data Engineering: Web Services for e-Commerce and e-Government Applications, 2004. Proceedings.","volume":"426 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"28","resultStr":"{\"title\":\"Policy-based Web service composition\",\"authors\":\"Soon Ae Chun, V. Atluri, N. Adam\",\"doi\":\"10.1109/RIDE.2004.1281707\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the proliferation of Web technologies, the need to deliver services via the Web has increased tremendously. More and more, customers now demand one-stop service that calls for multiple services crossing organizational boundaries, which are required to be carefully and dynamically composed in a customized manner. Such a composition should not only select the most appropriate available service, but should also adhere to the policies and regulations governing the organizational services. In this paper, we demonstrate how such a composition can be accomplished to form a coherent service flow by using rules and services expressed as a knowledge base and topic ontology. The description of rules with topic concepts allows the system to easily identify the relevant rules in a certain domain and to identify and select appropriate Web services for composition. We consider different types of compositional rules including syntactic, semantic and pragmatic (contextual), which play a major role in the discovery and selection of Web services. We model the knowledge of rules and of the topic ontology using OWL, DAML-S, RuleML and RDF standards.\",\"PeriodicalId\":143695,\"journal\":{\"name\":\"14th International Workshop Research Issues on Data Engineering: Web Services for e-Commerce and e-Government Applications, 2004. Proceedings.\",\"volume\":\"426 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-03-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"28\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"14th International Workshop Research Issues on Data Engineering: Web Services for e-Commerce and e-Government Applications, 2004. Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RIDE.2004.1281707\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"14th International Workshop Research Issues on Data Engineering: Web Services for e-Commerce and e-Government Applications, 2004. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RIDE.2004.1281707","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
With the proliferation of Web technologies, the need to deliver services via the Web has increased tremendously. More and more, customers now demand one-stop service that calls for multiple services crossing organizational boundaries, which are required to be carefully and dynamically composed in a customized manner. Such a composition should not only select the most appropriate available service, but should also adhere to the policies and regulations governing the organizational services. In this paper, we demonstrate how such a composition can be accomplished to form a coherent service flow by using rules and services expressed as a knowledge base and topic ontology. The description of rules with topic concepts allows the system to easily identify the relevant rules in a certain domain and to identify and select appropriate Web services for composition. We consider different types of compositional rules including syntactic, semantic and pragmatic (contextual), which play a major role in the discovery and selection of Web services. We model the knowledge of rules and of the topic ontology using OWL, DAML-S, RuleML and RDF standards.