Spark，一个基于偶然知识发现的应用程序。

Spark, an application based on Serendipitous Knowledge Discovery.

作者信息

Workman T Elizabeth, Fiszman Marcelo, Cairelli Michael J, Nahl Diane, Rindflesch Thomas C

机构信息

National Institutes of Health, National Library of Medicine, Lister Hill National Center for Biomedical Communications, Bethesda, MD, USA.

出版信息

J Biomed Inform. 2016 Apr;60:23-37. doi: 10.1016/j.jbi.2015.12.014. Epub 2015 Dec 28.

DOI:10.1016/j.jbi.2015.12.014

PMID:26732995

Abstract

Findings from information-seeking behavior research can inform application development. In this report we provide a system description of Spark, an application based on findings from Serendipitous Knowledge Discovery studies and data structures known as semantic predications. Background information and the previously published IF-SKD model (outlining Serendipitous Knowledge Discovery in online environments) illustrate the potential use of information-seeking behavior in application design. A detailed overview of the Spark system illustrates how methodologies in design and retrieval functionality enable production of semantic predication graphs tailored to evoke Serendipitous Knowledge Discovery in users.

摘要

信息寻求行为研究的结果可为应用程序开发提供参考。在本报告中，我们提供了Spark的系统描述，Spark是一个基于意外知识发现研究结果和语义谓词数据结构的应用程序。背景信息和先前发表的IF-SKD模型（概述在线环境中的意外知识发现）说明了信息寻求行为在应用程序设计中的潜在用途。Spark系统的详细概述说明了设计和检索功能中的方法如何能够生成专门用于激发用户意外知识发现的语义谓词图。