DeepLife: An Entity-aware Search, Analytics and Exploration Platform for Health and Life Sciences

被引:0
|
作者
Ernst, Patrick [1 ]
Siu, Amy [1 ]
Milchevski, Dragan [1 ]
Hoffart, Johannes [1 ]
Weikum, Gerhard [1 ]
机构
[1] Max Planck Inst Informat, Campus E1 4, D-66123 Saarbrucken, Germany
来源
PROCEEDINGS OF 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL-2016): SYSTEM DEMONSTRATIONS | 2016年
关键词
SYSTEM;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Despite the abundance of biomedical literature and health discussions in online communities, it is often tedious to retrieve informative contents for health-centric information needs. Users can query scholarly work in PubMed by keywords and MeSH terms, and resort to Google for everything else. This demo paper presents the DeepLife system, to overcome the limitations of existing search engines for life science and health topics. DeepLife integrates large knowledge bases and harnesses entity linking methods, to support search and exploration of scientific literature, newspaper feeds, and social media, in terms of keywords and phrases, biomedical entities, and taxonomic categories. It also provides functionality for entity-aware text analytics over health-centric contents.
引用
收藏
页码:19 / 24
页数:6
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