Method of Improving Personal Name Search in Academic Information Service

Heejun Han, Seok-Hyoung Lee
{"title":"Method of Improving Personal Name Search in Academic Information Service","authors":"Heejun Han, Seok-Hyoung Lee","doi":"10.5865/IJKCT.2012.2.2.017","DOIUrl":null,"url":null,"abstract":"All academic information on the web or elsewhere has its creator, that is, a subject who has created the information. The subject can be an individual, a group, or an institution, and can be a nation depending on the nature of the relevant information. Most information is composed of a title, an author, and contents. An essay which is under the academic information category has metadata including a title, an author, keyword, abstract, data about publication, place of publication, ISSN, and the like. A patent has metadata including the title, an applicant, an inventor, an attorney, IPC, number of application, and claims of the invention. Most web-based academic information services enable users to search the information by processing the meta-information. An important element is to search information by using the author field which corresponds to a personal name. This study suggests a method of efficient indexing and using the adjacent operation result ranking algorithm to which phrase search-based boosting elements are applied, and thus improving the accuracy of the search results of personal names. It also describes a method for providing the results of searching co-authors and related researchers in searching personal names. This method can be effectively applied to providing accurate and additional search results in the academic information services.","PeriodicalId":53292,"journal":{"name":"International Journal of Knowledge Content Development and Technology","volume":"2 1","pages":"17-29"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Knowledge Content Development and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5865/IJKCT.2012.2.2.017","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

All academic information on the web or elsewhere has its creator, that is, a subject who has created the information. The subject can be an individual, a group, or an institution, and can be a nation depending on the nature of the relevant information. Most information is composed of a title, an author, and contents. An essay which is under the academic information category has metadata including a title, an author, keyword, abstract, data about publication, place of publication, ISSN, and the like. A patent has metadata including the title, an applicant, an inventor, an attorney, IPC, number of application, and claims of the invention. Most web-based academic information services enable users to search the information by processing the meta-information. An important element is to search information by using the author field which corresponds to a personal name. This study suggests a method of efficient indexing and using the adjacent operation result ranking algorithm to which phrase search-based boosting elements are applied, and thus improving the accuracy of the search results of personal names. It also describes a method for providing the results of searching co-authors and related researchers in searching personal names. This method can be effectively applied to providing accurate and additional search results in the academic information services.
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
改进学术信息服务中人名搜索的方法
网络上或其他地方的所有学术信息都有其创建者,即创建信息的主体。根据相关信息的性质,主体可以是个人、团体或机构,也可以是国家。大多数信息由标题、作者和内容组成。学术信息类文章的元数据包括标题、作者、关键词、摘要、发表资料、发表地点、ISSN等。专利的元数据包括名称、申请人、发明人、律师、IPC、申请数量和发明的权利要求书。大多数基于网络的学术信息服务都是通过对元信息的处理来实现对信息的搜索。一个重要的元素是使用与个人姓名对应的作者字段来搜索信息。本研究提出了一种高效索引的方法,并利用基于短语搜索的提升元素的相邻运算结果排序算法,从而提高人名搜索结果的准确性。它还描述了在搜索个人姓名时提供搜索共同作者和相关研究人员的结果的方法。该方法可以有效地应用于学术信息服务中提供准确和附加的搜索结果。
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
审稿时长
5 weeks
期刊最新文献
Accessibility and Usability of Library Websites to Students with Visual and Physical Disabilities in Public Universities in Kenya Access, Skills and Constraints of Barangay Officials towards the Use of Information and Communications Technology (ICT) A Study on the Service Provision Direction of the National Library for Children and Young Adults in the 5G Era The Development of Subject Gateway and Library Operating Model for the Diffusion of Entrepreneurship – Focus on Job and Employment Services A Study on Improvement of Electronic Library Services Using User Review Data in Mobile App Market
×
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