{"title":"基于本体的服务匹配和发现","authors":"V. Oleshchuk","doi":"10.1109/IDAACS.2011.6072840","DOIUrl":null,"url":null,"abstract":"In this paper we consider ontologies as knowledge structures that specify attributes of services, their properties and relations among them to enable finding semantic similarity between service descriptions and service requests. Ontologies reflect semantic relationship between concepts represented by attributes in service descriptions and service requests. We use knowledge from ontologies to enhance the both user service requests and service descriptions by adding concepts that are not presented in the original descriptions, and use them in comparison process. It results in more precise matching since we consider also implicit concepts. Thus services and requests that do not contain exact matching attributes can be anyway found semantically matching on some abstraction level.","PeriodicalId":106306,"journal":{"name":"Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems","volume":"14 6","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Ontology-based service matching and discovery\",\"authors\":\"V. Oleshchuk\",\"doi\":\"10.1109/IDAACS.2011.6072840\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we consider ontologies as knowledge structures that specify attributes of services, their properties and relations among them to enable finding semantic similarity between service descriptions and service requests. Ontologies reflect semantic relationship between concepts represented by attributes in service descriptions and service requests. We use knowledge from ontologies to enhance the both user service requests and service descriptions by adding concepts that are not presented in the original descriptions, and use them in comparison process. It results in more precise matching since we consider also implicit concepts. Thus services and requests that do not contain exact matching attributes can be anyway found semantically matching on some abstraction level.\",\"PeriodicalId\":106306,\"journal\":{\"name\":\"Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems\",\"volume\":\"14 6\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IDAACS.2011.6072840\",\"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 of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IDAACS.2011.6072840","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper we consider ontologies as knowledge structures that specify attributes of services, their properties and relations among them to enable finding semantic similarity between service descriptions and service requests. Ontologies reflect semantic relationship between concepts represented by attributes in service descriptions and service requests. We use knowledge from ontologies to enhance the both user service requests and service descriptions by adding concepts that are not presented in the original descriptions, and use them in comparison process. It results in more precise matching since we consider also implicit concepts. Thus services and requests that do not contain exact matching attributes can be anyway found semantically matching on some abstraction level.