{"title":"基于维基百科的从简历中提取关键信息","authors":"Mohammad Ghufran, N. Bennacer, Gianluca Quercini","doi":"10.1109/RCIS.2017.7956530","DOIUrl":null,"url":null,"abstract":"There is a vast amount of information about individuals available on the Web that has potential uses in Human Resource Management (HRM) - both for recruiters and job seekers. Since people names are inherently ambiguous, finding information related to a specific person is challenging and a simple query by name will likely return web pages related to several different individuals who happen to share the same name as the target of the query.","PeriodicalId":193156,"journal":{"name":"2017 11th International Conference on Research Challenges in Information Science (RCIS)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Wikipedia-based extraction of key information from resumes\",\"authors\":\"Mohammad Ghufran, N. Bennacer, Gianluca Quercini\",\"doi\":\"10.1109/RCIS.2017.7956530\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There is a vast amount of information about individuals available on the Web that has potential uses in Human Resource Management (HRM) - both for recruiters and job seekers. Since people names are inherently ambiguous, finding information related to a specific person is challenging and a simple query by name will likely return web pages related to several different individuals who happen to share the same name as the target of the query.\",\"PeriodicalId\":193156,\"journal\":{\"name\":\"2017 11th International Conference on Research Challenges in Information Science (RCIS)\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 11th International Conference on Research Challenges in Information Science (RCIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RCIS.2017.7956530\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 11th International Conference on Research Challenges in Information Science (RCIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RCIS.2017.7956530","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Wikipedia-based extraction of key information from resumes
There is a vast amount of information about individuals available on the Web that has potential uses in Human Resource Management (HRM) - both for recruiters and job seekers. Since people names are inherently ambiguous, finding information related to a specific person is challenging and a simple query by name will likely return web pages related to several different individuals who happen to share the same name as the target of the query.