Semantic Technology: An Efficient Approach to Monogenean Information Retrieval

Alfred S, Arpah A, L. H. S. Li, Sarinder K K S
{"title":"Semantic Technology: An Efficient Approach to Monogenean Information Retrieval","authors":"Alfred S, Arpah A, L. H. S. Li, Sarinder K K S","doi":"10.1109/ICCNT.2010.127","DOIUrl":null,"url":null,"abstract":"Biological data is huge and increasing rapidly therefore data storing and mining will become major challenges. We have encountered several key problems related to limitations in the database management system (DBMS) used and information retrieval in our in-house Monogenean-host database. In this paper we will be presenting the ontology developed that is specific to our dataset using semantic technology to overcome these problems. Our Taxonomy ontology is built based on accepted taxonomic classification system and semantic key identifier therefore problems in information retrieval are minimized. Our focus is on the images used in taxonomy and how to retrieve them based on semantic identifiers.","PeriodicalId":135847,"journal":{"name":"2010 Second International Conference on Computer and Network Technology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2010-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Second International Conference on Computer and Network Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCNT.2010.127","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

Biological data is huge and increasing rapidly therefore data storing and mining will become major challenges. We have encountered several key problems related to limitations in the database management system (DBMS) used and information retrieval in our in-house Monogenean-host database. In this paper we will be presenting the ontology developed that is specific to our dataset using semantic technology to overcome these problems. Our Taxonomy ontology is built based on accepted taxonomic classification system and semantic key identifier therefore problems in information retrieval are minimized. Our focus is on the images used in taxonomy and how to retrieve them based on semantic identifiers.
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
语义技术:单基因信息检索的一种有效方法
生物数据量巨大且增长迅速,因此数据的存储和挖掘将成为重大挑战。我们遇到了几个关键问题,这些问题与使用的数据库管理系统(DBMS)的局限性和我们内部Monogenean-host数据库的信息检索有关。在本文中,我们将介绍使用语义技术开发的针对我们数据集的本体,以克服这些问题。我们的分类法本体是基于公认的分类法分类系统和语义关键标识符构建的,从而最大限度地减少了信息检索中的问题。我们的重点是分类法中使用的图像以及如何基于语义标识符检索它们。
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
Dynamic Multiple Pattern Detection Algorithm On Energy Decay of Global Solutions for a Petrovsky System with Damping Term and Source Term Development of Semantic Based Information Retrieval Using Word-Net Approach Ontology Description of Jade Computational Agents in OWL-DL Stock Exchange of Thailand Index Prediction Using Back Propagation Neural Networks
×
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