ZB MED - Information Centre for Life Sciences, Gleueler Straβe 60, 50931 Cologne, Germany.
Graduate School DILS Bielefeld Institute for Bioinformatics Infrastructure (BIBI), Faculty of Technology, University of Bielefeld, Germany.
Database (Oxford). 2022 Jul 1;2022. doi: 10.1093/database/baac048.
preVIEW is a freely available semantic search engine for Coronavirus disease (COVID-19)-related preprint publications. Currently, it contains >43 800 documents indexed with >4000 semantic concepts, annotated automatically. During the last 2 years, the dynamic situation of the corona crisis has demanded dynamic development. Whereas new semantic concepts have been added over time-such as the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of interest-the service has been also extended with several features improving the usability and user friendliness. Most importantly, the user is now able to give feedback on detected semantic concepts, i.e. a user can mark annotations as true positives or false positives. In addition, we expanded our methods to construct search queries. The presented version of preVIEW also includes links to the peer-reviewed journal articles, if available. With the described system, we participated in the BioCreative VII interactive text-mining track and retrieved promising user-in-the-loop feedback. Additionally, as the occurrence of long-term symptoms after an infection with the virus SARS-CoV-2-called long COVID-is getting more and more attention, we have recently developed and incorporated a long COVID classifier based on state-of-the-art methods and manually curated data by experts. The service is freely accessible under https://preview.zbmed.de.
preVIEW 是一个免费的语义搜索引擎，用于冠状病毒病 (COVID-19) 相关预印本出版物。目前，它包含 >43800 篇文档，索引了 >4000 个语义概念，并自动进行了注释。在过去的两年中，新冠危机的动态情况要求进行动态开发。随着时间的推移，已经添加了新的语义概念，例如感兴趣的严重急性呼吸系统综合征冠状病毒 2 (SARS-CoV-2) 变体，该服务还扩展了一些功能，提高了可用性和用户友好性。最重要的是，用户现在可以对检测到的语义概念提供反馈，即用户可以将注释标记为真阳性或假阳性。此外，我们还扩展了构建搜索查询的方法。所呈现的 preVIEW 版本还包括指向同行评审期刊文章的链接（如果有）。使用描述的系统，我们参与了 BioCreative VII 交互式文本挖掘跟踪，并检索了有希望的用户循环反馈。此外，由于感染病毒 SARS-CoV-2 后出现长期症状（称为长新冠）的情况越来越受到关注，我们最近开发并整合了一个基于最新方法和专家人工整理数据的长新冠分类器。该服务可在 https://preview.zbmed.de 免费访问。
