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Exploiting Cascading Citations for Retrieval

机译：利用级联引文进行检索

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摘要

We report on the utilization of the cascading citations indexing framework (C~2IF) for thernidentification of similarities among items (in this case research articles) in a bibliographicrndatabase. More specifically, the problem of chaining forward from a given focal article isrnaddressed by considering the direct as well as the indirect citations that target the article inrnquestion. From the population of articles that cite the given article directly, those associatedrnwith a larger number of higher-level C~2IF constructs are found to be more similar to it. Thernfindings also appear to be of value for the mirror image problem of chaining backward fromrnthe focal article to a population of referenced articles. Cited publications for which the focalrnarticle represents/hosts a larger number of higher-level C~2IF constructs are likely to be morernsimilar to it.rnAs a testbed, sixty (60) highly cited computer science research articles are consideredrntogether with their associated bibliographic links over a six-year period (1999-2005) in thernScience Citation Index Expanded (SCIE) data. The dataset has been made available byrnThomson Scientific for conducting research along the lines of the Cascading CitationsrnAnalysis Project (C-CAP). Similarity values are calculated by considering author-supplied asrnwell as automatically generated keywords registered in the SCIE dataset. The purpose of thisrnresearch is to develop a strategy that will improve the effectiveness of retrieval in digitalrnlibraries that incorporate bibliographic citations.
机译：我们报告了级联引文索引框架（C〜2IF）在书目数据库中用于项目之间相似性识别的情况（在本例中为研究文章）。更具体地说，通过考虑针对文章质疑的直接引用和间接引用来解决从给定焦点文章向前链接的问题。从直接引用给定文章的大量文章中，发现与大量更高级别的C〜2IF构造相关的文章与其更相似。对于从焦点文章向后链接到大量参考文章的镜像问题，这些发现似乎也很有价值。被引论文的焦点文章代表/托管着大量的高级C〜2IF结构，可能与此更相似。作为测试平台，六十（60）篇被引用最多的计算机科学研究文章被认为与它们相关的书目联系在一起科学引文索引扩展（SCIE）数据为期六年（1999-2005年）。汤姆森科学公司已经提供了该数据集，用于根据级联引文分析项目（C-CAP）进行研究。通过将作者提供的asnwell视为在SCIE数据集中注册的自动生成的关键字来计算相似度值。这项研究的目的是开发一种策略，以提高包含书目引文的数字图书馆的检索效率。

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