实时处理SDR数据的集成过程

Sang-Young Lee
{"title":"实时处理SDR数据的集成过程","authors":"Sang-Young Lee","doi":"10.14257/IJDTA.2017.10.7.05","DOIUrl":null,"url":null,"abstract":"In this paper, relative data is classified using STDC which is an efficient classification process using the ontology technique. Classified data are saved at the storage according to its SDR type. Integrated processes are used to reuse the saved SDR data. Thus, relative data is constructed in a systematic reuse system applying total architecture. This overcomes the disadvantage of the past processes that required numerous joint computation when handling question and answer. SDTC Technique solves the weakness of old methods which required multiple join calculation that caused functional decline and allows normalized type of classification task.","PeriodicalId":13926,"journal":{"name":"International journal of database theory and application","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Integrated Processes of SDR Data for Real-time Processing\",\"authors\":\"Sang-Young Lee\",\"doi\":\"10.14257/IJDTA.2017.10.7.05\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, relative data is classified using STDC which is an efficient classification process using the ontology technique. Classified data are saved at the storage according to its SDR type. Integrated processes are used to reuse the saved SDR data. Thus, relative data is constructed in a systematic reuse system applying total architecture. This overcomes the disadvantage of the past processes that required numerous joint computation when handling question and answer. SDTC Technique solves the weakness of old methods which required multiple join calculation that caused functional decline and allows normalized type of classification task.\",\"PeriodicalId\":13926,\"journal\":{\"name\":\"International journal of database theory and application\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of database theory and application\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14257/IJDTA.2017.10.7.05\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of database theory and application","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14257/IJDTA.2017.10.7.05","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文使用STDC对相关数据进行分类,这是一种利用本体技术的高效分类过程。分类数据根据其SDR类型保存在存储器中。集成过程用于重用已保存的SDR数据。因此,在一个应用整体体系结构的系统重用系统中构建了相关数据。这克服了以往处理问答时需要大量联合计算的缺点。SDTC技术解决了旧方法需要进行多次连接计算导致功能下降的缺点,并允许规范化类型的分类任务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrated Processes of SDR Data for Real-time Processing
In this paper, relative data is classified using STDC which is an efficient classification process using the ontology technique. Classified data are saved at the storage according to its SDR type. Integrated processes are used to reuse the saved SDR data. Thus, relative data is constructed in a systematic reuse system applying total architecture. This overcomes the disadvantage of the past processes that required numerous joint computation when handling question and answer. SDTC Technique solves the weakness of old methods which required multiple join calculation that caused functional decline and allows normalized type of classification task.
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
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信