Introducing the Big Knowledge to Use (BK2U) challenge

Document Type

Article

Publication Date

1-1-2017

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.

Identifier

84991677434 (Scopus)

Publication Title

Annals of the New York Academy of Sciences

External Full Text Location

https://doi.org/10.1111/nyas.13225

e-ISSN

17496632

ISSN

00778923

PubMed ID

27750400

First Page

12

Last Page

24

Issue

1

Volume

1387

Grant

R01CA190779

Fund Ref

National Institutes of Health

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