Abstract:
:The purpose of the Big Data to Knowledge initiative is to develop methods for discovering new knowledge from large amounts of data. However, if the resulting knowledge is so large that it resists comprehension, referred to here as Big Knowledge (BK), how can it be used properly and creatively? We call this secondary challenge, Big Knowledge to Use. Without a high-level mental representation of the kinds of knowledge in a BK knowledgebase, effective or innovative use of the knowledge may be limited. We describe summarization and visualization techniques that capture the big picture of a BK knowledgebase, possibly created from Big Data. In this research, we distinguish between assertion BK and rule-based BK (rule BK) and demonstrate the usefulness of summarization and visualization techniques of assertion BK for clinical phenotyping. As an example, we illustrate how a summary of many intracranial bleeding concepts can improve phenotyping, compared to the traditional approach. We also demonstrate the usefulness of summarization and visualization techniques of rule BK for drug-drug interaction discovery.
journal_name
Ann N Y Acad Scijournal_title
Annals of the New York Academy of Sciencesauthors
Perl Y,Geller J,Halper M,Ochs C,Zheng L,Kapusnik-Uner Jdoi
10.1111/nyas.13225subject
Has Abstractpub_date
2017-01-01 00:00:00pages
12-24issue
1eissn
0077-8923issn
1749-6632journal_volume
1387pub_type
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