医学术语匹配方法

M. Gawich, M. Aref, Abdel-badeeh M. Salem, Xavier Tannier
{"title":"医学术语匹配方法","authors":"M. Gawich, M. Aref, Abdel-badeeh M. Salem, Xavier Tannier","doi":"10.1109/INTELCIS.2015.7397210","DOIUrl":null,"url":null,"abstract":"Information are provided in heterogeneous terms in several forms (document, database and ontology), it is necessary to integrate them to facilitate the information retrieval and knowledge discovery. Moreover, the semantic representation of term helps the computer to understand the meaning of information. Information of a specific domain can be presented in different terms, the matching between terms achieves the goal to represent an integrate information. One of the domains which need the integration between its terms is the medical domain. This paper presents a survey on the major term matching techniques in the medical domain.","PeriodicalId":6478,"journal":{"name":"2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Medical term matching approaches\",\"authors\":\"M. Gawich, M. Aref, Abdel-badeeh M. Salem, Xavier Tannier\",\"doi\":\"10.1109/INTELCIS.2015.7397210\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Information are provided in heterogeneous terms in several forms (document, database and ontology), it is necessary to integrate them to facilitate the information retrieval and knowledge discovery. Moreover, the semantic representation of term helps the computer to understand the meaning of information. Information of a specific domain can be presented in different terms, the matching between terms achieves the goal to represent an integrate information. One of the domains which need the integration between its terms is the medical domain. This paper presents a survey on the major term matching techniques in the medical domain.\",\"PeriodicalId\":6478,\"journal\":{\"name\":\"2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INTELCIS.2015.7397210\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INTELCIS.2015.7397210","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

信息以多种形式(文档、数据库和本体)以异构术语提供,为了方便信息检索和知识发现,有必要对它们进行集成。此外,术语的语义表示有助于计算机理解信息的含义。一个特定领域的信息可以用不同的术语来表示,术语之间的匹配达到了表示一个完整信息的目的。其中一个需要术语间整合的领域是医学领域。本文综述了医学领域中主要的术语匹配技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Medical term matching approaches
Information are provided in heterogeneous terms in several forms (document, database and ontology), it is necessary to integrate them to facilitate the information retrieval and knowledge discovery. Moreover, the semantic representation of term helps the computer to understand the meaning of information. Information of a specific domain can be presented in different terms, the matching between terms achieves the goal to represent an integrate information. One of the domains which need the integration between its terms is the medical domain. This paper presents a survey on the major term matching techniques in the medical domain.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
On the use of probabilistic model-checking for the verification of prognostics applications Prospective, knowledge based clinical risk analysis: The OPT-model Partial deduction in predicate calculus as a tool for artificial intelligence problem complexity decreasing XML summarization: A survey Finding the pin in the haystack: A Bot Traceback service for public clouds
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1