蛋白质数据源组成的本体代数

A. Sidhu, T. Dillon, E. Chang
{"title":"蛋白质数据源组成的本体代数","authors":"A. Sidhu, T. Dillon, E. Chang","doi":"10.1109/BIBMW.2007.4425412","DOIUrl":null,"url":null,"abstract":"Most biological resources available today on the web provide a good number of cross-links to other resources with relevant information. However, in our opinion, what is still lacking is an integrated view that provides complete coverage of information through a single entry point. The main problem lies in interpreting biological nomenclature because the underlying data sources are inconsistent. In this paper we discuss Protein Ontology (PO) Algebra that we use for composition and interoperability of protein data sources. We outline the existing research in interoperability of biological data sources, before discussing our semantic interoperability approach in detail. The actual implementation of Protein Ontology is also discussed briefly in this paper, which depends on the strength of the Protein Ontology Algebra.","PeriodicalId":260286,"journal":{"name":"2007 IEEE International Conference on Bioinformatics and Biomedicine Workshops","volume":"65 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Ontology algebra for composition of protein data sources\",\"authors\":\"A. Sidhu, T. Dillon, E. Chang\",\"doi\":\"10.1109/BIBMW.2007.4425412\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Most biological resources available today on the web provide a good number of cross-links to other resources with relevant information. However, in our opinion, what is still lacking is an integrated view that provides complete coverage of information through a single entry point. The main problem lies in interpreting biological nomenclature because the underlying data sources are inconsistent. In this paper we discuss Protein Ontology (PO) Algebra that we use for composition and interoperability of protein data sources. We outline the existing research in interoperability of biological data sources, before discussing our semantic interoperability approach in detail. The actual implementation of Protein Ontology is also discussed briefly in this paper, which depends on the strength of the Protein Ontology Algebra.\",\"PeriodicalId\":260286,\"journal\":{\"name\":\"2007 IEEE International Conference on Bioinformatics and Biomedicine Workshops\",\"volume\":\"65 3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE International Conference on Bioinformatics and Biomedicine Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BIBMW.2007.4425412\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE International Conference on Bioinformatics and Biomedicine Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIBMW.2007.4425412","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

当今网络上的大多数生物资源都提供了大量与其他资源相关信息的交叉链接。然而,在我们看来,仍然缺乏的是通过单一入口点提供完整信息覆盖的集成视图。主要问题在于解释生物学命名法,因为底层数据源不一致。本文讨论了蛋白质本体代数(Protein Ontology Algebra, PO)在蛋白质数据源的组成和互操作中的应用。在详细讨论我们的语义互操作性方法之前,我们概述了生物数据源互操作性的现有研究。本文还简要讨论了蛋白质本体的实际实现,这取决于蛋白质本体代数的强度。
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
Ontology algebra for composition of protein data sources
Most biological resources available today on the web provide a good number of cross-links to other resources with relevant information. However, in our opinion, what is still lacking is an integrated view that provides complete coverage of information through a single entry point. The main problem lies in interpreting biological nomenclature because the underlying data sources are inconsistent. In this paper we discuss Protein Ontology (PO) Algebra that we use for composition and interoperability of protein data sources. We outline the existing research in interoperability of biological data sources, before discussing our semantic interoperability approach in detail. The actual implementation of Protein Ontology is also discussed briefly in this paper, which depends on the strength of the Protein Ontology Algebra.
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
V-Lab-Protein: Virtual Collaborative Lab for protein sequence analysis Using fuzzy memberships to core patterns to interpret connectedness in gene expression clusters Rapid computation of large numbers of LOD scores in linkage analysis through polynomial expression of genetic likelihoods Flagellar proteins prediction after sequence-structure alignments of coronin and Arp2/3 complex in Leishmania spp. Structural characterization of RNA-binding sites of proteins: Preliminary results
×
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