基于本体的上下文同义词网络搜索

E. Manglik, P. Sharma, P. Rawat, N. Tyagi
{"title":"基于本体的上下文同义词网络搜索","authors":"E. Manglik, P. Sharma, P. Rawat, N. Tyagi","doi":"10.1109/ICISCON.2013.6524185","DOIUrl":null,"url":null,"abstract":"Knowledge is an essential asset for success and this is the main reason for exponential growth of knowledge management in the past decade. Web is the largest knowledge base ever collected by human in which the apex aim of a search engine is to provide most relevant documents to the user in minimum possible time. We propose to make out the best from the vital knowledge present over the internet intelligently, anywhere in the world through better searching methodologies. The current information retrieval system uses the keyword matching technique for fetching results from the web-repository. In this paper, we propose a structural approach for the unstructured knowledge over the Internet and also provides a solution to the two major problems of information retrieval system i.e. polysemy and synonymy, that too simultaneously.","PeriodicalId":216110,"journal":{"name":"2013 International Conference on Information Systems and Computer Networks","volume":"97 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Ontology based context synonymy web searching\",\"authors\":\"E. Manglik, P. Sharma, P. Rawat, N. Tyagi\",\"doi\":\"10.1109/ICISCON.2013.6524185\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Knowledge is an essential asset for success and this is the main reason for exponential growth of knowledge management in the past decade. Web is the largest knowledge base ever collected by human in which the apex aim of a search engine is to provide most relevant documents to the user in minimum possible time. We propose to make out the best from the vital knowledge present over the internet intelligently, anywhere in the world through better searching methodologies. The current information retrieval system uses the keyword matching technique for fetching results from the web-repository. In this paper, we propose a structural approach for the unstructured knowledge over the Internet and also provides a solution to the two major problems of information retrieval system i.e. polysemy and synonymy, that too simultaneously.\",\"PeriodicalId\":216110,\"journal\":{\"name\":\"2013 International Conference on Information Systems and Computer Networks\",\"volume\":\"97 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-03-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Information Systems and Computer Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICISCON.2013.6524185\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Information Systems and Computer Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICISCON.2013.6524185","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

知识是成功的基本资产,这也是近十年来知识管理呈指数级增长的主要原因。Web是人类迄今为止收集的最大的知识库,其中搜索引擎的最高目标是在最短的时间内为用户提供最相关的文档。我们建议通过更好的搜索方法,在世界任何地方智能地从互联网上的重要知识中获得最好的信息。当前的信息检索系统采用关键字匹配技术从web存储库中获取结果。本文提出了一种结构化的互联网非结构化知识检索方法,并同时解决了信息检索系统中存在的多义和同义两个主要问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ontology based context synonymy web searching
Knowledge is an essential asset for success and this is the main reason for exponential growth of knowledge management in the past decade. Web is the largest knowledge base ever collected by human in which the apex aim of a search engine is to provide most relevant documents to the user in minimum possible time. We propose to make out the best from the vital knowledge present over the internet intelligently, anywhere in the world through better searching methodologies. The current information retrieval system uses the keyword matching technique for fetching results from the web-repository. In this paper, we propose a structural approach for the unstructured knowledge over the Internet and also provides a solution to the two major problems of information retrieval system i.e. polysemy and synonymy, that too simultaneously.
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