@Article{信息:doi 10.2196 / / medinform。6918，作者=“Demelo, Jonathan and Parsons, Paul and Sedig, Kamran”，标题=“本体驱动的搜索和分类:基于web的MEDLINE可视化界面设计”，期刊=“JMIR Med Inform”，年=“2017”，月=“Feb”，日=“02”，卷=“5”，数=“1”，页=“e4”，关键词=“MEDLINE”;用户计算机接口;信息存储与检索;医学信息学;PubMed"， abstract="背景:不同的用户需要搜索健康和医学文献，以满足开放式目标，如做出基于证据的决策和更新他们的知识。然而，这样做是具有挑战性的，因为至少有两个主要困难:(1)使用准确的词汇表表达信息需求;(2)处理从搜索返回的大型文档集。像PubMed这样的通用搜索接口不能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可视化界面的设计中结合两种策略(1)使用形式化本体来帮助用户构建特定领域的知识和词汇，以及(2)提供多阶段分类支持来帮助缓解信息过载问题，从而提高对探索性搜索任务的支持。方法:我们开发了一个基于web的工具，Ontology-Driven Visual Search and Triage Interface for MEDLINE (OVERT-MED)，来验证我们的设计思想。 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. ", issn="2291-9694", doi="10.2196/medinform.6918", url="http://medinform.www.mybigtv.com/2017/1/e4/", url="https://doi.org/10.2196/medinform.6918", url="http://www.ncbi.nlm.nih.gov/pubmed/28153818" }