{"title":"Fuzzy rule interchange between f-R2ML and f-RIF","authors":"Xing Wang, Ji Chen, Xiangfu Meng, Bing Wang","doi":"10.1109/FSKD.2013.6816267","DOIUrl":null,"url":null,"abstract":"f-R2ML is a very important fuzzy rule markup language in the Semantic Web, which should be included in the f-RIF interchange framework. However, there are heterogeneous syntaxes between f-RIF and f-R2ML. Therefore, it is necessary to construct transformations between these two languages. In the paper, a syntax mapping between f- R2ML and f-RIF is constructed. Two kinds of transformations are proposed. What's more, the information loss in the process of transformations is also analyzed. And the remedial measures are also proposed to reduce possible information loss.","PeriodicalId":368964,"journal":{"name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FSKD.2013.6816267","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
f-R2ML is a very important fuzzy rule markup language in the Semantic Web, which should be included in the f-RIF interchange framework. However, there are heterogeneous syntaxes between f-RIF and f-R2ML. Therefore, it is necessary to construct transformations between these two languages. In the paper, a syntax mapping between f- R2ML and f-RIF is constructed. Two kinds of transformations are proposed. What's more, the information loss in the process of transformations is also analyzed. And the remedial measures are also proposed to reduce possible information loss.
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