知识处理、集成与表示的混合方法

Reena T. N. Shetty, Pierre-Michel Riccio, J. Quinqueton
{"title":"知识处理、集成与表示的混合方法","authors":"Reena T. N. Shetty, Pierre-Michel Riccio, J. Quinqueton","doi":"10.1109/IRI.2006.252386","DOIUrl":null,"url":null,"abstract":"Extended semantic network is an innovative tool for knowledge representation and ontology construction, which looks for sets of associations between nodes semantically and proximally as opposed to the present method of keyword association. Our objective here is to achieve semi-supervised knowledge representation technique with good accuracy and minimum human intervention, using the heuristically developed information processing and integration methods","PeriodicalId":402255,"journal":{"name":"2006 IEEE International Conference on Information Reuse & Integration","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Hybrid Method for Knowledge Processing, Integration and Representation\",\"authors\":\"Reena T. N. Shetty, Pierre-Michel Riccio, J. Quinqueton\",\"doi\":\"10.1109/IRI.2006.252386\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Extended semantic network is an innovative tool for knowledge representation and ontology construction, which looks for sets of associations between nodes semantically and proximally as opposed to the present method of keyword association. Our objective here is to achieve semi-supervised knowledge representation technique with good accuracy and minimum human intervention, using the heuristically developed information processing and integration methods\",\"PeriodicalId\":402255,\"journal\":{\"name\":\"2006 IEEE International Conference on Information Reuse & Integration\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE International Conference on Information Reuse & Integration\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IRI.2006.252386\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE International Conference on Information Reuse & Integration","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRI.2006.252386","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

摘要

扩展语义网络是一种创新的知识表示和本体构建工具,它在语义上和近端上寻找节点之间的关联集,而不是现有的关键字关联方法。我们的目标是利用启发式开发的信息处理和集成方法,实现具有良好准确性和最少人为干预的半监督知识表示技术
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hybrid Method for Knowledge Processing, Integration and Representation
Extended semantic network is an innovative tool for knowledge representation and ontology construction, which looks for sets of associations between nodes semantically and proximally as opposed to the present method of keyword association. Our objective here is to achieve semi-supervised knowledge representation technique with good accuracy and minimum human intervention, using the heuristically developed information processing and integration methods
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
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信