{"title":"通过语义Web服务的自动选择和调用来支持上下文感知过程","authors":"S. Dietze, A. Gugliotta, J. Domingue","doi":"10.1109/SOCA.2007.15","DOIUrl":null,"url":null,"abstract":"Current technologies aimed at supporting processes - whether it is a business process or a learning process - are usually based on using a dedicated set of metadata to describe a process which refers to some specific data, used in the process. Process metadata is usually specific to a standard specification - like the Business Process Modeling Notation (BPMN) or the IMS Learning Design Standard - while used process data is specific to a specific process context. These facts limit the re-usability of a process model across different standards and contexts. To overcome these issues, this paper describes an innovative semantic web service-oriented architecture aimed at changing this data- and metadata-based paradigm to a highly dynamic service-oriented approach following the idea of a semantic abstraction from process metadata as well as process data. This approach enables a dynamic adaptation to specific actor needs and objectives and supports the development of abstract semantic process models which are re-usable across different contexts and standards. To illustrate the application of our approach, we describe a prototypical application to the domain of E-Learning.","PeriodicalId":226255,"journal":{"name":"IEEE International Conference on Service-Oriented Computing and Applications (SOCA '07)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Context-aware Process Support through Automatic Selection and Invocation of Semantic Web Services\",\"authors\":\"S. Dietze, A. Gugliotta, J. Domingue\",\"doi\":\"10.1109/SOCA.2007.15\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Current technologies aimed at supporting processes - whether it is a business process or a learning process - are usually based on using a dedicated set of metadata to describe a process which refers to some specific data, used in the process. Process metadata is usually specific to a standard specification - like the Business Process Modeling Notation (BPMN) or the IMS Learning Design Standard - while used process data is specific to a specific process context. These facts limit the re-usability of a process model across different standards and contexts. To overcome these issues, this paper describes an innovative semantic web service-oriented architecture aimed at changing this data- and metadata-based paradigm to a highly dynamic service-oriented approach following the idea of a semantic abstraction from process metadata as well as process data. This approach enables a dynamic adaptation to specific actor needs and objectives and supports the development of abstract semantic process models which are re-usable across different contexts and standards. To illustrate the application of our approach, we describe a prototypical application to the domain of E-Learning.\",\"PeriodicalId\":226255,\"journal\":{\"name\":\"IEEE International Conference on Service-Oriented Computing and Applications (SOCA '07)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-06-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE International Conference on Service-Oriented Computing and Applications (SOCA '07)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SOCA.2007.15\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Conference on Service-Oriented Computing and Applications (SOCA '07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOCA.2007.15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Context-aware Process Support through Automatic Selection and Invocation of Semantic Web Services
Current technologies aimed at supporting processes - whether it is a business process or a learning process - are usually based on using a dedicated set of metadata to describe a process which refers to some specific data, used in the process. Process metadata is usually specific to a standard specification - like the Business Process Modeling Notation (BPMN) or the IMS Learning Design Standard - while used process data is specific to a specific process context. These facts limit the re-usability of a process model across different standards and contexts. To overcome these issues, this paper describes an innovative semantic web service-oriented architecture aimed at changing this data- and metadata-based paradigm to a highly dynamic service-oriented approach following the idea of a semantic abstraction from process metadata as well as process data. This approach enables a dynamic adaptation to specific actor needs and objectives and supports the development of abstract semantic process models which are re-usable across different contexts and standards. To illustrate the application of our approach, we describe a prototypical application to the domain of E-Learning.