A Novel Framework for Event Interpretation in a Heterogeneous Information System

Nabila Guennouni, C. Sallaberry, Sébastien Laborie, R. Chbeir
{"title":"A Novel Framework for Event Interpretation in a Heterogeneous Information System","authors":"Nabila Guennouni, C. Sallaberry, Sébastien Laborie, R. Chbeir","doi":"10.1145/3415958.3433073","DOIUrl":null,"url":null,"abstract":"Over the last decade, the number of research and development projects on sensor network technology has grown exponentially. Events detection is among these research fields, it allows the monitoring of the environment. To build an interpretation to these events, the combination of sensor network and document corpus data is essential since document corpus provide significant amounts of important and valuable information (e.g., technical data sheets, maintenance reports, customer sheets). However, most information systems in connected environments do not support the interconnection of sensor network and document corpus data, hence, user has to look for an explanation by himself through multiple queries on both data sources which is indeed very tedious, time consuming and requires a huge compilation effort. In this paper, we show that recent researches on 5W1H question-answering (\"What? Who? Where? When? Why? How?\") are an interesting issue to facilitate tunnelling through heterogeneous data sources (sensor networks and document corpus) and the identification of relevant data for the purpose of explaining an event. Consequently, we propose ISEE (an Information System for Event Explanation), a framework for event interpretation based on (i) the semantic representation of a heterogeneous information system, (ii) the cross-analysis of both sensor network and document corpus data and (iii) 5W1H question-answering techniques.","PeriodicalId":198419,"journal":{"name":"Proceedings of the 12th International Conference on Management of Digital EcoSystems","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 12th International Conference on Management of Digital EcoSystems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3415958.3433073","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

Over the last decade, the number of research and development projects on sensor network technology has grown exponentially. Events detection is among these research fields, it allows the monitoring of the environment. To build an interpretation to these events, the combination of sensor network and document corpus data is essential since document corpus provide significant amounts of important and valuable information (e.g., technical data sheets, maintenance reports, customer sheets). However, most information systems in connected environments do not support the interconnection of sensor network and document corpus data, hence, user has to look for an explanation by himself through multiple queries on both data sources which is indeed very tedious, time consuming and requires a huge compilation effort. In this paper, we show that recent researches on 5W1H question-answering ("What? Who? Where? When? Why? How?") are an interesting issue to facilitate tunnelling through heterogeneous data sources (sensor networks and document corpus) and the identification of relevant data for the purpose of explaining an event. Consequently, we propose ISEE (an Information System for Event Explanation), a framework for event interpretation based on (i) the semantic representation of a heterogeneous information system, (ii) the cross-analysis of both sensor network and document corpus data and (iii) 5W1H question-answering techniques.
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
异构信息系统中一种新的事件解释框架
在过去的十年中,传感器网络技术的研究和开发项目的数量呈指数级增长。事件检测是这些研究领域之一,它允许对环境进行监测。为了对这些事件进行解释,传感器网络和文档语料库数据的组合是必不可少的,因为文档语料库提供了大量重要和有价值的信息(例如,技术数据表、维护报告、客户表)。然而,大多数互联环境下的信息系统并不支持传感器网络和文档语料库数据的互联,因此,用户必须通过对两个数据源的多次查询来寻找自己的解释,这确实非常繁琐,耗时且需要大量的编译工作。在本文中,我们展示了最近关于5W1H问答(“What?”谁?在哪里?什么时候?为什么?如何?”)是一个有趣的问题,它有助于通过异构数据源(传感器网络和文档语料库)挖掘隧道,并识别相关数据以解释事件。因此,我们提出了ISEE(事件解释信息系统),这是一个基于(i)异构信息系统的语义表示,(ii)传感器网络和文档语料库数据的交叉分析,以及(iii) 5W1H问答技术的事件解释框架。
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
Selection of Information Streams in Social Sensing: an Interdependence- and Cost-aware Ranking Method LEOnto Bot-Detective: An explainable Twitter bot detection service with crowdsourcing functionalities A Novel Framework for Event Interpretation in a Heterogeneous Information System Spatial Information Retrieval in Digital Ecosystems: A Comprehensive Survey
×
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