{"title":"A method for organizing knowledge bases in the hierarchical form","authors":"H.T. Bao","doi":"10.1109/TAI.1994.346394","DOIUrl":null,"url":null,"abstract":"We propose OSHAM, a novel top-down, unsupervised concept formation method based on a set-theoretic model for conceptual hierarchies. The method is close to the human approach to hierarchical classification and empirical results state its high ability to correctly classify new objects.<<ETX>>","PeriodicalId":262014,"journal":{"name":"Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TAI.1994.346394","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
We propose OSHAM, a novel top-down, unsupervised concept formation method based on a set-theoretic model for conceptual hierarchies. The method is close to the human approach to hierarchical classification and empirical results state its high ability to correctly classify new objects.<>