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本文引用的文献

1
Gaps within the Biomedical Literature: Initial Characterization and Assessment of Strategies for Discovery.生物医学文献中的差距：发现策略的初步特征描述与评估
Front Res Metr Anal. 2017 May;2. doi: 10.3389/frma.2017.00003. Epub 2017 May 22.
2
Neophilia Ranking of Scientific Journals.科学期刊的新事物偏好排名
Scientometrics. 2017 Jan;110(1):43-64. doi: 10.1007/s11192-016-2157-1. Epub 2016 Oct 22.
3
Enriching plausible new hypothesis generation in PubMed.丰富PubMed中合理新假设的生成。
PLoS One. 2017 Jul 5;12(7):e0180539. doi: 10.1371/journal.pone.0180539. eCollection 2017.
4
Biomedical text mining for research rigor and integrity: tasks, challenges, directions.生物医学文本挖掘的研究严谨性和完整性：任务、挑战和方向。
Brief Bioinform. 2018 Nov 27;19(6):1400-1414. doi: 10.1093/bib/bbx057.
5
Embedding of semantic predications.语义谓词的嵌入
J Biomed Inform. 2017 Apr;68:150-166. doi: 10.1016/j.jbi.2017.03.003. Epub 2017 Mar 8.
6
Classification-by-Analogy: Using Vector Representations of Implicit Relationships to Identify Plausibly Causal Drug/Side-effect Relationships.类比分类：利用隐式关系的向量表示来识别可能的因果药物/副作用关系。
AMIA Annu Symp Proc. 2017 Feb 10;2016:1940-1949. eCollection 2016.
7
Quantifying Conceptual Novelty in the Biomedical Literature.量化生物医学文献中的概念新颖性。
Dlib Mag. 2016 Sep-Oct;22(9-10). doi: 10.1045/september2016-mishra.
8
The effect of word sense disambiguation accuracy on literature based discovery.词义消歧准确性对基于文献的发现的影响。
BMC Med Inform Decis Mak. 2016 Jul 18;16 Suppl 1(Suppl 1):57. doi: 10.1186/s12911-016-0296-1.
9
Link Prediction on a Network of Co-occurring MeSH Terms: Towards Literature-based Discovery.共现医学主题词网络中的链接预测：迈向基于文献的发现
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10
Using Literature-Based Discovery to Explain Adverse Drug Effects.利用基于文献的发现来解释药物不良反应。
J Med Syst. 2016 Aug;40(8):185. doi: 10.1007/s10916-016-0544-z. Epub 2016 Jun 18.

重新发现唐·斯旺森：基于文献的发现的过去、现在与未来

Rediscovering Don Swanson: the Past, Present and Future of Literature-Based Discovery.

作者信息

Smalheiser Neil R

机构信息

Department of Psychiatry, University of Illinois at Chicago, Chicago, IL 60612 USA, +1 312-413-4581.

出版信息

J Data Inf Sci. 2017 Dec;2(4):43-64. doi: 10.1515/jdis-2017-0019.

DOI:10.1515/jdis-2017-0019
PMID:29355246
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5771422/
Abstract

The late Don R. Swanson was well appreciated during his lifetime as Dean of the Graduate Library School at University of Chicago, as winner of the American Society for Information Science Award of Merit for 2000, and as author of many seminal articles. In this informal essay, I will give my personal perspective on Don's contributions to science, and outline some current and future directions in literature-based discovery that are rooted in concepts that he developed.

摘要

已故的唐·R·斯旺森生前备受赞誉，他曾担任芝加哥大学研究生图书馆学院院长，荣获2000年美国信息科学学会功绩奖，还撰写了许多具有开创性的文章。在这篇随笔中，我将阐述我个人对唐对科学所做贡献的看法，并概述一些基于文献的发现领域当前及未来的发展方向，这些方向都源于他所提出的概念。