首页> 外文期刊>JMIR Medical Informatics >Ontology-Driven Search and Triage: Design of a Web-Based Visual Interface for MEDLINE
【24h】

Ontology-Driven Search and Triage: Design of a Web-Based Visual Interface for MEDLINE

机译:本体驱动的搜索和分类:MEDLINE基于Web的可视界面设计

获取原文
           

摘要

Background Diverse users need to search health and medical literature to satisfy open-ended goals such as making evidence-based decisions and updating their knowledge. However, doing so is challenging due to at least two major difficulties: (1) articulating information needs using accurate vocabulary and (2) dealing with large document sets returned from searches. Common search interfaces such as PubMed do not provide adequate support for exploratory search tasks. Objective Our objective was to improve support for exploratory search tasks by combining two strategies in the design of an interactive visual interface by (1) using a formal ontology to help users build domain-specific knowledge and vocabulary and (2) providing multi-stage triaging support to help mitigate the information overload problem. Methods We developed a Web-based tool, Ontology-Driven Visual Search and Triage Interface for MEDLINE (OVERT-MED), to test our design ideas. We implemented a custom searchable index of MEDLINE, which comprises approximately 25 million document citations. We chose a popular biomedical ontology, the Human Phenotype Ontology (HPO), to test our solution to the vocabulary problem. We implemented multistage triaging support in OVERT-MED, with the aid of interactive visualization techniques, to help users deal with large document sets returned from searches. Results Formative evaluation suggests that the design features in OVERT-MED are helpful in addressing the two major difficulties described above. Using a formal ontology seems to help users articulate their information needs with more accurate vocabulary. In addition, multistage triaging combined with interactive visualizations shows promise in mitigating the information overload problem. Conclusions Our strategies appear to be valuable in addressing the two major problems in exploratory search. Although we tested OVERT-MED with a particular ontology and document collection, we anticipate that our strategies can be transferred successfully to other contexts.
机译:背景技术多样化的用户需要搜索健康和医学文献以满足开放性目标,例如制定循证决策和更新知识。但是,由于至少两个主要困难,这样做具有挑战性:(1)使用准确的词汇表述信息需求;(2)处理从搜索返回的大型文档集。通用搜索界面(例如PubMed)没有为探索性搜索任务提供足够的支持。目的我们的目标是通过在交互式视觉界面的设计中结合两种策略来改进对探索性搜索任务的支持,方法是:(1)使用正式的本体来帮助用户建立特定领域的知识和词汇,以及(2)提供多阶段分类支持以帮助减轻信息过载问题。方法我们开发了一个基于Web的工具,即MEDLINE(OVERT-MED)的本体驱动视觉搜索和分类界面,以测试我们的设计思想。我们实现了MEDLINE的自定义可搜索索引,该索引包含大约2500万个文档引用。我们选择了一种流行的生物医学本体,即人类表型本体(HPO),以测试我们对词汇问题的解决方案。我们借助交互式可视化技术在OVERT-MED中实现了多阶段分类支持,以帮助用户处理从搜索返回的大型文档集。结果形成性评估表明OVERT-MED中的设计功能有助于解决上述两个主要困难。使用正式的本体似乎可以帮助用户以更准确的词汇表述其信息需求。此外,多阶段分类与交互式可视化相结合显示出缓解信息过载问题的希望。结论我们的策略对于解决探索性搜索中的两个主要问题似乎很有价值。尽管我们使用特定的本体和文档集对OVERT-MED进行了测试,但是我们预计我们的策略可以成功地转移到其他环境中。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号