Using OpenMath to present semantics of Geometric Algebra

Wendy Zhang, Kuo-pao Yang, R. Shrestha, F. Petry, Smantha Zabom
{"title":"Using OpenMath to present semantics of Geometric Algebra","authors":"Wendy Zhang, Kuo-pao Yang, R. Shrestha, F. Petry, Smantha Zabom","doi":"10.1109/SSST.2010.5442809","DOIUrl":null,"url":null,"abstract":"This research aids in developing of a Physics Markup Language (PML) for the representation of Physical models. By providing a standard way of documenting the physical and mathematical semantics of these physics based models, a Physics Markup Language (PML) will improve communication of model's semantics to support interoperability between physics-based models, such as multi-physics simulation and interoperability with other non-physics based models. Geometric Algebra (GA) is a powerful and practical framework for the representation and solution of geometrical problems. GA is the fundamental underlying mathematics for most physical models. OpenMath is a XML-based markup language for representing and communicating mathematics that tries to combine natural and formal language. This research utilized OpenMath by creating Content Dictionaries, to implement the mathematical semantics for the underlying mathematics, Geometric Algebra.","PeriodicalId":6463,"journal":{"name":"2010 42nd Southeastern Symposium on System Theory (SSST)","volume":"94 1","pages":"362-366"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 42nd Southeastern Symposium on System Theory (SSST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSST.2010.5442809","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

This research aids in developing of a Physics Markup Language (PML) for the representation of Physical models. By providing a standard way of documenting the physical and mathematical semantics of these physics based models, a Physics Markup Language (PML) will improve communication of model's semantics to support interoperability between physics-based models, such as multi-physics simulation and interoperability with other non-physics based models. Geometric Algebra (GA) is a powerful and practical framework for the representation and solution of geometrical problems. GA is the fundamental underlying mathematics for most physical models. OpenMath is a XML-based markup language for representing and communicating mathematics that tries to combine natural and formal language. This research utilized OpenMath by creating Content Dictionaries, to implement the mathematical semantics for the underlying mathematics, Geometric Algebra.
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
使用OpenMath表示几何代数的语义
本研究有助于物理模型表示的物理标记语言(PML)的开发。通过提供记录这些基于物理的模型的物理和数学语义的标准方法,物理标记语言(PML)将改进模型语义的通信,以支持基于物理的模型之间的互操作性,例如多物理模拟以及与其他非基于物理的模型的互操作性。几何代数(GA)是表示和求解几何问题的一个强大而实用的框架。遗传算法是大多数物理模型的基础数学。OpenMath是一种基于xml的标记语言,用于表示和交流数学,它试图将自然语言和形式语言结合起来。本研究利用OpenMath创建内容字典来实现基础数学几何代数的数学语义。
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
Vision-based lane detection for an autonomous ground vehicle: A comparative field test A new TDOA/FDOA-based recursive geolocation algorithm Implementation of headway compensation on autonomous vehicle convoys with command shaping A practical solution to the numerical butterfly effect in chaotic systems for fast but memory limited computers Analysis of induced surface currents on high velocity target using a relativistic approach
×
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