{"title":"基于本体知识的语义文本摘要方法","authors":"Dr.A.Mekala","doi":"10.46501/ijmtst061122","DOIUrl":null,"url":null,"abstract":"Data mining is a method which finds useful patterns from large amount of data. As vast amounts of\ninformation are created quickly, effective information access becomes an important matter. Particularly for\nimportant domains, such as health check and monetary areas, well-organized recovery of succinct and\nrelated information is highly desired. In this paper we propose a new user query based text summarization\ntechnique that makes use of WordNet, a common information source from Princeton University. Our\nsummarization structure is expressly tuned to recapitulate health care documents.","PeriodicalId":277149,"journal":{"name":"November 2020","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Semantic Text Summarization Method using\\nontology based Knowledge\",\"authors\":\"Dr.A.Mekala\",\"doi\":\"10.46501/ijmtst061122\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Data mining is a method which finds useful patterns from large amount of data. As vast amounts of\\ninformation are created quickly, effective information access becomes an important matter. Particularly for\\nimportant domains, such as health check and monetary areas, well-organized recovery of succinct and\\nrelated information is highly desired. In this paper we propose a new user query based text summarization\\ntechnique that makes use of WordNet, a common information source from Princeton University. Our\\nsummarization structure is expressly tuned to recapitulate health care documents.\",\"PeriodicalId\":277149,\"journal\":{\"name\":\"November 2020\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"November 2020\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.46501/ijmtst061122\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"November 2020","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46501/ijmtst061122","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Semantic Text Summarization Method using
ontology based Knowledge
Data mining is a method which finds useful patterns from large amount of data. As vast amounts of
information are created quickly, effective information access becomes an important matter. Particularly for
important domains, such as health check and monetary areas, well-organized recovery of succinct and
related information is highly desired. In this paper we propose a new user query based text summarization
technique that makes use of WordNet, a common information source from Princeton University. Our
summarization structure is expressly tuned to recapitulate health care documents.