Literature DB >> 26732995

Spark, an application based on Serendipitous Knowledge Discovery.

T Elizabeth Workman1, Marcelo Fiszman2, Michael J Cairelli2, Diane Nahl3, Thomas C Rindflesch2.   

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.
Copyright © 2016. Published by Elsevier Inc.

Keywords:  Application development; Information-seeking behavior; Knowledge discovery

Mesh:

Year:  2015        PMID: 26732995     DOI: 10.1016/j.jbi.2015.12.014

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  7 in total

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Authors:  F Dhombres; J Charlet
Journal:  Yearb Med Inform       Date:  2017-09-11

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

Authors:  Neil R Smalheiser
Journal:  J Data Inf Sci       Date:  2017-12

Review 3.  Recent advances in biomedical literature mining.

Authors:  Sendong Zhao; Chang Su; Zhiyong Lu; Fei Wang
Journal:  Brief Bioinform       Date:  2021-05-20       Impact factor: 11.622

4.  Exploration of Shared Themes Between Food Security and Internet of Things Research Through Literature-Based Discovery.

Authors:  Cristian Mejia; Yuya Kajikawa
Journal:  Front Res Metr Anal       Date:  2021-05-13

5.  Indirect association and ranking hypotheses for literature based discovery.

Authors:  Sam Henry; Bridget T McInnes
Journal:  BMC Bioinformatics       Date:  2019-08-15       Impact factor: 3.169

6.  Two Similarity Metrics for Medical Subject Headings (MeSH): An Aid to Biomedical Text Mining and Author Name Disambiguation.

Authors:  Neil R Smalheiser; Gary Bonifield
Journal:  J Biomed Discov Collab       Date:  2016-04-06

7.  Using Literature Based Discovery to Gain Insights Into the Metabolomic Processes of Cardiac Arrest.

Authors:  Sam Henry; D Shanaka Wijesinghe; Aidan Myers; Bridget T McInnes
Journal:  Front Res Metr Anal       Date:  2021-06-25
  7 in total

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