Measuring information content for an ontological concept

V. Cross, A. Chennai-Thiagarajan
{"title":"Measuring information content for an ontological concept","authors":"V. Cross, A. Chennai-Thiagarajan","doi":"10.1109/NAFIPS.2012.6291016","DOIUrl":null,"url":null,"abstract":"Numerous ontological or semantic similarity measures have been proposed to determine how similar one concept is to another within the context of an ontology. One category of such measures uses a measure of information content (IC) for ontological concepts. The various approaches to determining IC measures are reviewed. The early corpus-based IC measure is first presented and its weakness discussed. Then the earliest ontology-based IC measure using decedents only is described followed by the two more recent proposals that attempt to improve on the original descendents only ontology-based IC measure. These three IC measures are then analyzed and critiqued based on the assumptions made during their construction. Analysis of the strengths and weakness of the three proposed IC measures suggest intuitive principles to be followed in construction of other IC measures.","PeriodicalId":281863,"journal":{"name":"2012 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAFIPS.2012.6291016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Numerous ontological or semantic similarity measures have been proposed to determine how similar one concept is to another within the context of an ontology. One category of such measures uses a measure of information content (IC) for ontological concepts. The various approaches to determining IC measures are reviewed. The early corpus-based IC measure is first presented and its weakness discussed. Then the earliest ontology-based IC measure using decedents only is described followed by the two more recent proposals that attempt to improve on the original descendents only ontology-based IC measure. These three IC measures are then analyzed and critiqued based on the assumptions made during their construction. Analysis of the strengths and weakness of the three proposed IC measures suggest intuitive principles to be followed in construction of other IC measures.
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
测量本体概念的信息内容
已经提出了许多本体或语义相似性度量来确定一个概念与另一个概念在本体上下文中的相似程度。此类度量的一类使用本体概念的信息内容度量(IC)。审查了确定IC措施的各种方法。首先介绍了早期基于语料库的集成电路测量方法,并对其缺点进行了讨论。然后描述了最早的基于本体的仅使用子代的集成度量,随后是两个最近的提案,试图改进原始的仅使用子代的基于本体的集成度量。然后,根据构建过程中所做的假设,对这三种集成电路测量进行分析和批评。通过分析这三种IC措施的优缺点,可以得出在构建其他IC措施时应遵循的直观原则。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Regularity of upper semicontinuous fuzzy measures Fuzzy weights using sensitivity analysis for double inner dependence AHP Type-2 fuzzy rule base system with parameter optimization for forecasting of tardiness A fast learning algorithm for uninorm-based fuzzy neural networks Measuring information content for an ontological concept
×
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:604180095
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