分析德国信息检索团队在TREC和CLEF中的贡献与科研产出规律
Scientometric Analysis of the German IR Community within TREC & CLEF
- 基于OpenAlex和GROBID提取元数据，从机构与研究者双维度分析
- 德国团队主要贡献于CLEF，TREC参与度较低
- 科研产出符合洛特卡定律，体现学术生产规律
本研究基于OpenAlex提供的元数据，并通过GROBID框架从论文全文中提取额外元数据，分析2000至2022年间德国信息检索（IR）社区在Text Retrieval Conference（TREC）和Conference and Labs of the Evaluation Forum（CLEF）两大检索评测活动中的影响。分析覆盖机构与研究者两个层面。结果表明，德国IR社区在作者与机构层面均主要参与CLEF。此外，研究发现科研产出符合洛特卡定律（Lotka's Law）的预测，即少数研究者贡献了大量论文，多数研究者仅发表少量论文。
原文摘要 · Abstract (English)
Within this study, the influence of the German Information Retrieval community on the retrieval campaigns Text Retrieval Conference (TREC) and Conference and Labs of the Evaluation Forum (CLEF) between 2000 and 2022 was analyzed based on metadata provided by OpenAlex and further metadata extracted with the GROBID framework from the publication's full texts. The analysis was conducted at the institutional and researcher levels. It was found that the German IR community, both on the author and institution level, mainly contributed to CLEF. Furthermore, it was shown that productivity follows the assumptions made by Lotka's Law.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。