SSM: A Semantic Metasearch Platform for Scientific Data retrieval

Gustavo Caetano Borges, Júlio Cesar dos Reis, C. B. Medeiros
{"title":"SSM: A Semantic Metasearch Platform for Scientific Data retrieval","authors":"Gustavo Caetano Borges, Júlio Cesar dos Reis, C. B. Medeiros","doi":"10.22456/2175-2745.119164","DOIUrl":null,"url":null,"abstract":"Scientific research in all fields has advanced in complexity and in the amount of data generated. The heterogeneity of data repositories, data meaning and their metadata standards makes this problem even more significant. In spite of several proposals to find and retrieve research data from public repositories, there is still need for more comprehensive retrieval solutions. In this article, we specify and develop a mechanism to search for scientific data that takes advantage of metadata records and semantic methods. We present the conception of our architecture and how we have implemented it in a use case in the agriculture domain.","PeriodicalId":82472,"journal":{"name":"Research initiative, treatment action : RITA","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research initiative, treatment action : RITA","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22456/2175-2745.119164","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Scientific research in all fields has advanced in complexity and in the amount of data generated. The heterogeneity of data repositories, data meaning and their metadata standards makes this problem even more significant. In spite of several proposals to find and retrieve research data from public repositories, there is still need for more comprehensive retrieval solutions. In this article, we specify and develop a mechanism to search for scientific data that takes advantage of metadata records and semantic methods. We present the conception of our architecture and how we have implemented it in a use case in the agriculture domain.
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
面向科学数据检索的语义元搜索平台
所有领域的科学研究在复杂性和产生的数据量方面都取得了进步。数据存储库、数据含义及其元数据标准的异构性使得这个问题更加重要。尽管有一些从公共存储库中查找和检索研究数据的建议,但仍然需要更全面的检索解决方案。在本文中,我们指定并开发了一种利用元数据记录和语义方法搜索科学数据的机制。我们展示了架构的概念,以及我们如何在农业领域的一个用例中实现它。
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
Towards Causal Effect Estimation of Emotional Labeling of Watched Videos Exploring Supervised Techniques for Automated Recognition of Intention Classes from Portuguese Free Texts on Agriculture Stochastic Models for Planning VLE Moodle Environments based on Containers and Virtual Machines A Review of Testbeds on SCADA Systems with Malware Analysis A Conceptual Model for Situating Purposes in Artificial Institutions
×
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