法律信息检索的引文计量:学者和从业者交织在一起?

IF 0.2 Q4 LAW Legal Information Management Pub Date : 2022-06-01 DOI:10.1017/S1472669622000160
G. Wiggers, S. Verberne, G. Zwenne
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引用次数: 2

摘要

本文由Gineke Wiggers, Suzan Verberne和Gerrit-Jan Zwenne撰写,研究了文献计量学增强法律信息检索背景下法律文件中的引文。建议法律信息检索系统的用户希望看到学术和非学术信息,法律信息检索系统的开发是为了学术和非学术用户使用。由于在建立论点时引用的使用在法律领域中起着重要作用,文献计量信息(如引用)是加强法律信息检索系统的一种工具。本文通过文献和数据分析,检验了一个文献计量学增强的法律信息检索排名是否应该考虑学术和非学术出版物,以及这个排名是否可以服务于两个用户群体,或者是否需要做出区分。他们的文献分析表明,对于法律文件来说,学术和非学术文件并没有严格的区分。没有明确的标志可以区分这两类人,就可以做出区分而言,文献表明学者和从业者(非学者)都使用这两种类型。他们使用来自荷兰法律搜索引擎的引文和用法数据,对这一发现进行数据分析,以便在实践中检索法律信息。他们首先创建了一种方法,根据文献中发现的标准将法律文件分为学术性或非学术性。然后,我们半自动地分析一组种子文档,并根据它们被引用的文档(类型)注册。这产生了一组52个被引用(种子)文档和3086个被引用文档。基于搜索引擎用户的隶属关系,分析了用户组与文档类型之间的关系。作者的数据分析证实了文献分析,并显示了学术和非学术文献之间的许多交叉。此外,我们发现学术用户经常打开非学术文档,反之亦然。我们的研究结果表明,在法律信息检索系统中,法律文件中的引文衡量了对整个法律领域的广泛影响或相关性的一部分。这意味着,在法律信息检索中,文献计量学增强的排名应该同时考虑学术和非学术文献。学术和非学术用户都无视学术和非学术出版物之间的区别,这也表明用户的隶属关系不太可能是区分排名的合适因素。数据结合文献表明,区分用户意图可能更合适。
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Citation Metrics for Legal Information Retrieval: Scholars and Practitioners Intertwined?
Abstract This paper is written by Gineke Wiggers, Suzan Verberne and Gerrit-Jan Zwenne and examines citations in legal documents in the context of bibliometric-enhanced legal information retrieval. It is suggested that users of legal information retrieval systems wish to see both scholarly and non-scholarly information, and legal information retrieval systems are developed to be used by both scholarly and non-scholarly users. Since the use of citations in building arguments plays an important role in the legal domain, bibliometric information (such as citations) is an instrument to enhance legal information retrieval systems. This paper examines, through literature and data analysis, whether a bibliometric-enhanced ranking for legal information retrieval should consider both scholarly and nonscholarly publications, and whether this ranking could serve both user groups, or whether a distinction needs to be made. Their literature analysis suggests that for legal documents, there is no strict separation between scholarly and non-scholarly documents. There is no clear mark by which the two groups can be separated, and in as far as a distinction can be made, literature shows that both scholars and practitioners (non-scholars) use both types. They perform a data analysis to analyze this finding for legal information retrieval in practice, using citation and usage data from a legal search engine in the Netherlands. They first create a method to classify legal documents as either scholarly or non-scholarly based on criteria found in the literature. We then semi- automatically analyze a set of seed documents and register by what (type of) documents they are cited. This resulted in a set of 52 cited (seed) documents and 3086 citing documents. Based on the affiliation of users of the search engine, we analyzed the relation between user group and document type. The authors’ data analysis confirms the literature analysis and shows much crosscitations between scholarly and non-scholarly documents. In addition, we find that scholarly users often open non-scholarly documents and vice versa. Our results suggest that for use in legal information retrieval systems citations in legal documents measure part of a broad scope of impact, or relevance, on the entire legal field. This means that for bibliometric-enhanced ranking in legal information retrieval, both scholarly and non-scholarly documents should be considered. The disregard by both scholarly and non-scholarly users of the distinction between scholarly and non-scholarly publications also suggests that the affiliation of the user is not likely a suitable factor to differentiate rankings on. The data in combination with literature suggests that a differentiation on user intent might be more suitable.
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