{"title":"网络社交书签中的民俗分类法构建与分析","authors":"Zhongming Han, Qian Mo, Yanjun Liu, Min Zuo","doi":"10.1109/BICTA.2010.5645104","DOIUrl":null,"url":null,"abstract":"Research of constructing folksonomy in online social bookmarking system has attracted much attention recently. In this paper, we analyzed problems of constructing methods based on tag co-occurrence and proposed an entropy-based method to measure relationship of tag. Furthermore, a adjust threshold algorithm is proposed. Finally, comprehensive experiments are conducted and the result show our method can effectively construct folksonomy.","PeriodicalId":302619,"journal":{"name":"2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Constructing and analyzing folksonomy in online social bookmarking\",\"authors\":\"Zhongming Han, Qian Mo, Yanjun Liu, Min Zuo\",\"doi\":\"10.1109/BICTA.2010.5645104\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Research of constructing folksonomy in online social bookmarking system has attracted much attention recently. In this paper, we analyzed problems of constructing methods based on tag co-occurrence and proposed an entropy-based method to measure relationship of tag. Furthermore, a adjust threshold algorithm is proposed. Finally, comprehensive experiments are conducted and the result show our method can effectively construct folksonomy.\",\"PeriodicalId\":302619,\"journal\":{\"name\":\"2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BICTA.2010.5645104\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BICTA.2010.5645104","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Constructing and analyzing folksonomy in online social bookmarking
Research of constructing folksonomy in online social bookmarking system has attracted much attention recently. In this paper, we analyzed problems of constructing methods based on tag co-occurrence and proposed an entropy-based method to measure relationship of tag. Furthermore, a adjust threshold algorithm is proposed. Finally, comprehensive experiments are conducted and the result show our method can effectively construct folksonomy.