Intelligent searching using delay semantic network

S. Dvorscak, K. Machová
{"title":"Intelligent searching using delay semantic network","authors":"S. Dvorscak, K. Machová","doi":"10.1109/SAMI.2014.6822424","DOIUrl":null,"url":null,"abstract":"Article introduces different way how to implement semantic search, using semantic search agent over information obtained directly from web. The paper describes time delay form of semantic network, which we have used for providing of semantic search. Using of time-delay aspect inside semantic network has positive impact in several ways. It provides way how to represent knowledges dependent on time via semantic network, but also how to optimize a process of inference. That is all realized for Wikipedia articles in the form of search engine. The core's implementation is realized in way of massive multithread inference mechanism for massive semantic network.","PeriodicalId":441172,"journal":{"name":"2014 IEEE 12th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"202 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 12th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAMI.2014.6822424","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

Article introduces different way how to implement semantic search, using semantic search agent over information obtained directly from web. The paper describes time delay form of semantic network, which we have used for providing of semantic search. Using of time-delay aspect inside semantic network has positive impact in several ways. It provides way how to represent knowledges dependent on time via semantic network, but also how to optimize a process of inference. That is all realized for Wikipedia articles in the form of search engine. The core's implementation is realized in way of massive multithread inference mechanism for massive semantic network.
基于延迟语义网络的智能搜索
本文介绍了利用语义搜索代理对直接从网络获取的信息进行语义搜索的不同方法。本文描述了语义网络的时间延迟形式,并将其用于提供语义搜索。在语义网络内部使用时延方面具有多方面的积极作用。它提供了如何通过语义网络表示依赖于时间的知识,以及如何优化推理过程的方法。这一切都是以搜索引擎的形式实现的。核心的实现是通过大规模语义网络的大规模多线程推理机制来实现的。
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 求助全文
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:604180095
Book学术官方微信