{"title":"A semantic-aware publish/subscribe system with RDF patterns","authors":"Jinling Wang, Beihong Jin, Jing Li, Danhua Shao","doi":"10.1109/CMPSAC.2004.1342818","DOIUrl":null,"url":null,"abstract":"The publish/subscribe paradigm provides a loosely coupled form of interaction that is well suitable for the large-scale distributed systems. In this paper, we introduce the semantic Web technologies into the publish/subscribe systems and propose a new type of publish/subscribe system. In the system, concept models are represented as ontologies, events are represented as RDF graphs, and subscriptions are represented as RDF graph patterns. The system can match events with subscriptions based on the semantics of events, and support events with complex data structures such as graphs","PeriodicalId":355273,"journal":{"name":"Proceedings of the 28th Annual International Computer Software and Applications Conference, 2004. COMPSAC 2004.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 28th Annual International Computer Software and Applications Conference, 2004. COMPSAC 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CMPSAC.2004.1342818","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15
Abstract
The publish/subscribe paradigm provides a loosely coupled form of interaction that is well suitable for the large-scale distributed systems. In this paper, we introduce the semantic Web technologies into the publish/subscribe systems and propose a new type of publish/subscribe system. In the system, concept models are represented as ontologies, events are represented as RDF graphs, and subscriptions are represented as RDF graph patterns. The system can match events with subscriptions based on the semantics of events, and support events with complex data structures such as graphs