Structures and relations of knowledge nodes: Exploring a knowledge network of disease from precision medicine research publications

Qin, Jian; Zou, Ning

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https://hdl.handle.net/2142/96684 Copy

Description

Title

Structures and relations of knowledge nodes: Exploring a knowledge network of disease from precision medicine research publications

Author(s)

• Qin, Jian
• Zou, Ning

Issue Date

2017

Keyword(s)

• Knowledge nodes
• Knowledge network of disease
• Content analysis
• Knowledge modeling

Abstract

The vast amount of DNA sequence and protein data are being explored and linked to diseases as causative factors to support clinical and healthcare decision making. These developments in data-intensive biological sciences and clinical practices raised new questions for knowledge organization systems (KOS), and taxonomies in particular. Sitting at the center of these questions is the lagging of KOS’s capabilities in responding to the rapidly changing and emerging biomedical and disease terms due to the static, hierarchical structures and disconnection with new disease data fin traditional KOSs. This paper reports a pilot study that is designed to uncover and identify the types of knowledge nodes and relationships that can help generalize a framework or model for building a Knowledge Network of Disease, or the New Taxonomy envisaged by the National Academy of Science. This pilot study examined a sample of biomedical publications and drew a knowledge map to lay out the main knowledge nodes and their relationships. A preliminary framework for constructing the Knowledge Network of Disease is discussed.

Publisher

iSchools

Series/Report Name or Number

iConference 2017 Proceedings

Type of Resource

text

Language

en

Permalink

http://hdl.handle.net/2142/96684

Copyright and License Information

Copyright 2017 Jian Qin and Ning Zou

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