{"title":"面向移动软件的本体建模","authors":"Zhiyun Zhu, Yanhui Li, Baowen Xu","doi":"10.1109/WISA.2014.58","DOIUrl":null,"url":null,"abstract":"With the rapid development of smart phones and mobile Internet, the number of mobile software has largely increased, and online mobile software markets have also emerged, providing mobile software introduction and download for users. However, for online resources are distributed and heterogeneous, different online markets may give different names, incomplete information or incorrect data about the same softwares, which causes troubles in management and maintenance of mobile software. In this paper, to solve inconsistency and heterogeneity of software information, we collect raw software data from popular online mobile software markets, unify its format by some pre-processing methods, utilize semantic technology to discover information errors and correct them automatically, and build mobile software ontology model to help manage the mobile phone software.","PeriodicalId":366169,"journal":{"name":"2014 11th Web Information System and Application Conference","volume":"45 5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Ontology Modeling for Mobile Software\",\"authors\":\"Zhiyun Zhu, Yanhui Li, Baowen Xu\",\"doi\":\"10.1109/WISA.2014.58\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the rapid development of smart phones and mobile Internet, the number of mobile software has largely increased, and online mobile software markets have also emerged, providing mobile software introduction and download for users. However, for online resources are distributed and heterogeneous, different online markets may give different names, incomplete information or incorrect data about the same softwares, which causes troubles in management and maintenance of mobile software. In this paper, to solve inconsistency and heterogeneity of software information, we collect raw software data from popular online mobile software markets, unify its format by some pre-processing methods, utilize semantic technology to discover information errors and correct them automatically, and build mobile software ontology model to help manage the mobile phone software.\",\"PeriodicalId\":366169,\"journal\":{\"name\":\"2014 11th Web Information System and Application Conference\",\"volume\":\"45 5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-09-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 11th Web Information System and Application Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WISA.2014.58\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 11th Web Information System and Application Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WISA.2014.58","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
With the rapid development of smart phones and mobile Internet, the number of mobile software has largely increased, and online mobile software markets have also emerged, providing mobile software introduction and download for users. However, for online resources are distributed and heterogeneous, different online markets may give different names, incomplete information or incorrect data about the same softwares, which causes troubles in management and maintenance of mobile software. In this paper, to solve inconsistency and heterogeneity of software information, we collect raw software data from popular online mobile software markets, unify its format by some pre-processing methods, utilize semantic technology to discover information errors and correct them automatically, and build mobile software ontology model to help manage the mobile phone software.