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A Method for Search Result Accuracy and Indexing Efficiency on Author Name Search

机译:作者姓名搜索中搜索结果准确性和索引效率的一种方法

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摘要

Most academic information 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 web data is composed of a title, an author, and contents. A paper 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 author name. This method can be effectively applied to providing accurate search results in the academic information services.
机译:大多数学术信息都有其创建者,即创建该信息的学科。主题可以是个人,团体或机构,也可以是国家(取决于相关信息的性质)。大多数Web数据由标题,作者和内容组成。学术信息类别下的论文具有元数据,该元数据包括标题,作者,关键字,摘要,有关出版物的数据,出版物的位置,ISSN等。专利具有元数据,包括标题,申请人,发明人,律师,IPC,申请号和发明权利要求。大多数基于Web的学术信息服务使用户可以通过处理元信息来搜索信息。一个重要的元素是通过使用与个人名称对应的作者字段来搜索信息。这项研究提出了一种有效的索引方法,并使用了基于词组搜索的增强元素的相邻操作结果排名算法,从而提高了作者姓名搜索结果的准确性。该方法可以有效地应用于在学术信息服务中提供准确的搜索结果。

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