基于可信框架的图融合可追溯性处理

Charlotte Jacobé de Naurois, C. Laudy
{"title":"基于可信框架的图融合可追溯性处理","authors":"Charlotte Jacobé de Naurois, C. Laudy","doi":"10.23919/fusion49465.2021.9627035","DOIUrl":null,"url":null,"abstract":"We previously developped InSyTo, a framework for soft and semantic information fusion and management relying on the conceptual graph formalism and ontologies. This framework was used in many projects. However, if the framework was well received by end-users, they highlighted an urgent need for traceability within the soft information fusion process. In this paper we propose an approach to provide traceability built-in capabilities to InSyTo. The approach relies on the use of conceptual graphs in order to express the history of each elementary piece of information as a lineage graph. The lineage graph contains all the historical information concerning the initial sources of each elementary information item, as well as the fusion operations that were applied on them. The main advantage of this new development is the ability of having a trustworthy framework and thus let the end-users know what, why and how somethings happens during the information process.","PeriodicalId":226850,"journal":{"name":"2021 IEEE 24th International Conference on Information Fusion (FUSION)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Handling Traceability in Graph Fusion for a Trustworthy Framework\",\"authors\":\"Charlotte Jacobé de Naurois, C. Laudy\",\"doi\":\"10.23919/fusion49465.2021.9627035\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We previously developped InSyTo, a framework for soft and semantic information fusion and management relying on the conceptual graph formalism and ontologies. This framework was used in many projects. However, if the framework was well received by end-users, they highlighted an urgent need for traceability within the soft information fusion process. In this paper we propose an approach to provide traceability built-in capabilities to InSyTo. The approach relies on the use of conceptual graphs in order to express the history of each elementary piece of information as a lineage graph. The lineage graph contains all the historical information concerning the initial sources of each elementary information item, as well as the fusion operations that were applied on them. The main advantage of this new development is the ability of having a trustworthy framework and thus let the end-users know what, why and how somethings happens during the information process.\",\"PeriodicalId\":226850,\"journal\":{\"name\":\"2021 IEEE 24th International Conference on Information Fusion (FUSION)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 24th International Conference on Information Fusion (FUSION)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/fusion49465.2021.9627035\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 24th International Conference on Information Fusion (FUSION)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/fusion49465.2021.9627035","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

我们之前开发了InSyTo,这是一个基于概念图形式化和本体的软信息和语义信息融合和管理框架。这个框架在许多项目中使用。然而,如果最终用户很好地接受了该框架,他们强调了在软信息融合过程中对可追溯性的迫切需求。在本文中,我们提出了一种为InSyTo提供可追溯性内置功能的方法。该方法依赖于概念图的使用,以便将每个基本信息片段的历史表示为谱系图。谱系图包含有关每个基本信息项的初始来源的所有历史信息,以及应用于它们的融合操作。这种新开发的主要优点是能够拥有一个值得信赖的框架,从而让最终用户知道在信息处理过程中发生了什么、为什么发生以及如何发生。
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
Handling Traceability in Graph Fusion for a Trustworthy Framework
We previously developped InSyTo, a framework for soft and semantic information fusion and management relying on the conceptual graph formalism and ontologies. This framework was used in many projects. However, if the framework was well received by end-users, they highlighted an urgent need for traceability within the soft information fusion process. In this paper we propose an approach to provide traceability built-in capabilities to InSyTo. The approach relies on the use of conceptual graphs in order to express the history of each elementary piece of information as a lineage graph. The lineage graph contains all the historical information concerning the initial sources of each elementary information item, as well as the fusion operations that were applied on them. The main advantage of this new development is the ability of having a trustworthy framework and thus let the end-users know what, why and how somethings happens during the information process.
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
Impact of Georegistration Accuracy on Wide Area Motion Imagery Object Detection and Tracking Posterior Cramér-Rao Bounds for Tracking Intermittently Visible Targets in Clutter Monocular 3D Multi-Object Tracking with an EKF Approach for Long-Term Stable Tracks Resilient Collaborative All-source Navigation Symmetric Star-convex Shape Tracking With Wishart Filter
×
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