为语义网格计算环境提供改进查询处理性能的Jena存储插件

Jeong-Dong Kim, Heeyoung Shin, Dongwon Jeong, D. Baik
{"title":"为语义网格计算环境提供改进查询处理性能的Jena存储插件","authors":"Jeong-Dong Kim, Heeyoung Shin, Dongwon Jeong, D. Baik","doi":"10.1109/CSEW.2008.71","DOIUrl":null,"url":null,"abstract":"This paper proposes an enhanced storage model as a plug-in of Jena for semantic grid computing. Semantic grid is built using the technologies of the semantic Web. Jena is one of the most representative frameworks for building semantic Web applications. Jena can be used for building the semantic grid and its applications. It provides a programmatic environment for RDF and OWL. Besides that, it supports a SPARQL query processing engine, and a rule-based inference engine including a storage model. Even though it supports powerful functions, there are still several issues. Especially, its storage model provides a low query processing performance. This paper proposes a storage plug-in to provide more improved query processing performance than the original Jena storage. It promises a faster query processing support in the semantic grid as well as in the semantic Web. Also, our storage is developed as a Jena plug-in, and thus it can be seamlessly connected to other modules of the Jena framework.","PeriodicalId":6838,"journal":{"name":"2021 IEEE 24th International Conference on Computational Science and Engineering (CSE)","volume":"12 1","pages":"393-398"},"PeriodicalIF":0.0000,"publicationDate":"2008-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Jena Storage Plug-in Providing an Improved Query Processing Performance for Semantic Grid Computing Environment\",\"authors\":\"Jeong-Dong Kim, Heeyoung Shin, Dongwon Jeong, D. Baik\",\"doi\":\"10.1109/CSEW.2008.71\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes an enhanced storage model as a plug-in of Jena for semantic grid computing. Semantic grid is built using the technologies of the semantic Web. Jena is one of the most representative frameworks for building semantic Web applications. Jena can be used for building the semantic grid and its applications. It provides a programmatic environment for RDF and OWL. Besides that, it supports a SPARQL query processing engine, and a rule-based inference engine including a storage model. Even though it supports powerful functions, there are still several issues. Especially, its storage model provides a low query processing performance. This paper proposes a storage plug-in to provide more improved query processing performance than the original Jena storage. It promises a faster query processing support in the semantic grid as well as in the semantic Web. Also, our storage is developed as a Jena plug-in, and thus it can be seamlessly connected to other modules of the Jena framework.\",\"PeriodicalId\":6838,\"journal\":{\"name\":\"2021 IEEE 24th International Conference on Computational Science and Engineering (CSE)\",\"volume\":\"12 1\",\"pages\":\"393-398\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-07-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 24th International Conference on Computational Science and Engineering (CSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSEW.2008.71\",\"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 Computational Science and Engineering (CSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSEW.2008.71","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

摘要

本文提出了一种增强的存储模型,作为语义网格计算的Jena插件。语义网格是利用语义网技术构建的。Jena是构建语义Web应用程序的最具代表性的框架之一。Jena可用于构建语义网格及其应用程序。它为RDF和OWL提供了一个编程环境。除此之外,它还支持SPARQL查询处理引擎和包含存储模型的基于规则的推理引擎。尽管它支持强大的功能,但仍然存在一些问题。特别是它的存储模型提供了较低的查询处理性能。本文提出了一个存储插件,以提供比原来的Jena存储更改进的查询处理性能。它承诺在语义网格和语义Web中提供更快的查询处理支持。此外,我们的存储是作为Jena插件开发的,因此它可以无缝地连接到Jena框架的其他模块。
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
Jena Storage Plug-in Providing an Improved Query Processing Performance for Semantic Grid Computing Environment
This paper proposes an enhanced storage model as a plug-in of Jena for semantic grid computing. Semantic grid is built using the technologies of the semantic Web. Jena is one of the most representative frameworks for building semantic Web applications. Jena can be used for building the semantic grid and its applications. It provides a programmatic environment for RDF and OWL. Besides that, it supports a SPARQL query processing engine, and a rule-based inference engine including a storage model. Even though it supports powerful functions, there are still several issues. Especially, its storage model provides a low query processing performance. This paper proposes a storage plug-in to provide more improved query processing performance than the original Jena storage. It promises a faster query processing support in the semantic grid as well as in the semantic Web. Also, our storage is developed as a Jena plug-in, and thus it can be seamlessly connected to other modules of the Jena framework.
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
25th IEEE International Conference on Computational Science and Engineering, CSE 2022, Wuhan, China, December 9-11, 2022 UAV-empowered Vehicular Networking Scheme for Federated Learning in Delay Tolerant Environments A novel sentiment classification based on “word-phrase” attention mechanism CFP- A New Approach to Predicting Fantasy Points of NFL Quarterbacks A K-nearest neighbor classifier based on homomorphic encryption scheme
×
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