{"title":"将模糊逻辑集成到SLN中","authors":"Ke Ren, Zhixing Huang, Anping Zhao, Yuhui Qiu","doi":"10.1109/SKG.2011.15","DOIUrl":null,"url":null,"abstract":"SLN is a loosely coupled semantic data model assigned for the network resource management. Integrating fuzzy logic into SLN can be used to handle the ambiguity, uncertainty and imprecision. This paper proposes a novel data model of fuzzy semantic link network, and provides membership functions used to define the fuzzy semantic association degree between the semantic nodes. Its nodes can be any type of resources, and its edges can be any kind of semantic relations, the potential of fuzzy compound semantic links can be got from fuzzy reasoning rules which based on fuzzy semantic relations.","PeriodicalId":184788,"journal":{"name":"2011 Seventh International Conference on Semantics, Knowledge and Grids","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Integrate Fuzzy Logic into SLN\",\"authors\":\"Ke Ren, Zhixing Huang, Anping Zhao, Yuhui Qiu\",\"doi\":\"10.1109/SKG.2011.15\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"SLN is a loosely coupled semantic data model assigned for the network resource management. Integrating fuzzy logic into SLN can be used to handle the ambiguity, uncertainty and imprecision. This paper proposes a novel data model of fuzzy semantic link network, and provides membership functions used to define the fuzzy semantic association degree between the semantic nodes. Its nodes can be any type of resources, and its edges can be any kind of semantic relations, the potential of fuzzy compound semantic links can be got from fuzzy reasoning rules which based on fuzzy semantic relations.\",\"PeriodicalId\":184788,\"journal\":{\"name\":\"2011 Seventh International Conference on Semantics, Knowledge and Grids\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Seventh International Conference on Semantics, Knowledge and Grids\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SKG.2011.15\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Seventh International Conference on Semantics, Knowledge and Grids","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SKG.2011.15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
SLN is a loosely coupled semantic data model assigned for the network resource management. Integrating fuzzy logic into SLN can be used to handle the ambiguity, uncertainty and imprecision. This paper proposes a novel data model of fuzzy semantic link network, and provides membership functions used to define the fuzzy semantic association degree between the semantic nodes. Its nodes can be any type of resources, and its edges can be any kind of semantic relations, the potential of fuzzy compound semantic links can be got from fuzzy reasoning rules which based on fuzzy semantic relations.
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