{"title":"语义网络新概念发现的检测规则方法","authors":"Dariusz Ceglarek, K. Haniewicz","doi":"10.1109/ICIII.2011.417","DOIUrl":null,"url":null,"abstract":"Successful experiments with extraction of previously uncharted concepts with specialized finite state automata and already stored data in semantic network encouraged authors to further extend capabilities of semi-automatic concept acquisition. This paper focuses on methods of extracting viable proposition that can be included in a rule repository used to retrieve candidates for semantic network extension.","PeriodicalId":229533,"journal":{"name":"2011 International Conference on Information Management, Innovation Management and Industrial Engineering","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Methods of Detecting Rules for Discovery of New Concepts for Semantic Networks\",\"authors\":\"Dariusz Ceglarek, K. Haniewicz\",\"doi\":\"10.1109/ICIII.2011.417\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Successful experiments with extraction of previously uncharted concepts with specialized finite state automata and already stored data in semantic network encouraged authors to further extend capabilities of semi-automatic concept acquisition. This paper focuses on methods of extracting viable proposition that can be included in a rule repository used to retrieve candidates for semantic network extension.\",\"PeriodicalId\":229533,\"journal\":{\"name\":\"2011 International Conference on Information Management, Innovation Management and Industrial Engineering\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-11-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Information Management, Innovation Management and Industrial Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIII.2011.417\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Information Management, Innovation Management and Industrial Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIII.2011.417","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Methods of Detecting Rules for Discovery of New Concepts for Semantic Networks
Successful experiments with extraction of previously uncharted concepts with specialized finite state automata and already stored data in semantic network encouraged authors to further extend capabilities of semi-automatic concept acquisition. This paper focuses on methods of extracting viable proposition that can be included in a rule repository used to retrieve candidates for semantic network extension.