SOFIA SEARCH: a tool for automating related-work search

Behzad Golshan, Theodoros Lappas, Evimaria Terzi
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引用次数: 22

Abstract

When working on a new project, researchers need to devote a significant amount of time and effort to surveying the relevant literature. This is required in order to gain expertise, evaluate the significance of their work and gain useful insights about a particular scientific domain. While necessary, relevant-work search is also a time-consuming and arduous process, requiring the continuous participation of the user. In this work, we introduce Sofia Search, a tool that fully automates the search and retrieval of the literature related to a topic. Given a seed of papers submitted by the user, Sofia Search searches the Web for candidate related papers, evaluates their relevance to the seed and downloads them for the user. The tool also provides modules for the evaluation and ranking of authors and papers, in the context of the retrieved papers. In the demo, we will demonstrate the functionality of our tool, by allowing users to use it via a simple and intuitive interface.
SOFIA SEARCH:一个自动化相关工作搜索的工具
当从事一个新项目时,研究人员需要投入大量的时间和精力来调查相关文献。为了获得专业知识,评估他们工作的重要性,并获得对特定科学领域的有用见解,这是必要的。虽然是必要的,但相关工作搜索也是一个费时费力的过程,需要用户的持续参与。在这项工作中,我们介绍了Sofia Search,这是一个完全自动化搜索和检索与主题相关的文献的工具。给定用户提交的论文种子,Sofia Search在Web上搜索候选相关论文,评估它们与种子的相关性,并为用户下载它们。该工具还提供了在检索论文的背景下对作者和论文进行评估和排名的模块。在演示中,我们将通过允许用户通过简单直观的界面使用它来演示我们的工具的功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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