Method of Improving Personal Name Search in Academic Information Service

Heejun Han, Seok-Hyoung Lee
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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.
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。
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