社会科学文献中调查变量的自动检索与文摘
Towards Automated Survey Variable Search and Summarization in Social Science Publications
摘要：
如今，许多科学学科越来越倾向于通过链接出版物和基础数据集来提供增强的信息访问，以支持研究人员，从而通过基础设施来支持研究，以提高研究成果的可重复性和可重用性。在本研究报告中，我们介绍了一个正在进行的研究项目，名为VADIS（可变检测，互联和总结），旨在开发技术和基础设施，通过搜索和总结出版物的基础上，自动识别和索引文本中的调查变量，以增强社会科学的信息访问。我们概述了我们项目的总体愿景，其主要组成部分和相关挑战，以及如何解决当前社会科学出版物信息访问系统的局限性的深入讨论。我们展示了如何在最终用户系统中具体实现这一目标，提出了一个搜索原型，这是基于从实证社会科学研究人员的定性访谈中收集的用户需求。
英文摘要：
Nowadays there is a growing trend in many scientific disciplines to support researchers by providing enhanced information access through linking of publications and underlying datasets, so as to support research with infrastructure to enhance reproducibility and reusability of research results. In this research note, we present an overview of an ongoing research project, named VADIS (VAriable Detection, Interlinking and Summarization), that aims at developing technology and infrastructure for enhanced information access in the Social Sciences via search and summarization of publications on the basis of automatic identification and indexing of survey variables in text. We provide an overview of the overarching vision underlying our project, its main components, and related challenges, as well as a thorough discussion of how these are meant to address the limitations of current information access systems for publications in the Social Sciences. We show how this goal can be concretely implemented in an end-user system by presenting a search prototype, which is based on user requirements collected from qualitative interviews with empirical Social Science researchers.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
