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Titlebook: Representing Scientific Knowledge; The Role of Uncertai Chaomei Chen,Min Song Textbook 2017 Springer International Publishing AG 2017 Knowl

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发表于 2025-3-21 18:08:01 | 显示全部楼层 |阅读模式
书目名称Representing Scientific Knowledge
副标题The Role of Uncertai
编辑Chaomei Chen,Min Song
视频video
概述Explains the growth of scientific knowledge through diverse theoretical views and data-driven examples.Demonstrates the critical and fundamental role of a variety of uncertainties of scientific writin
图书封面Titlebook: Representing Scientific Knowledge; The Role of Uncertai Chaomei Chen,Min Song Textbook 2017 Springer International Publishing AG 2017 Knowl
描述.This book is written for anyone who is interested in how a field of research evolves and the fundamental role of understanding uncertainties involved in different levels of analysis, ranging from macroscopic views to meso- and microscopic ones. We introduce a series of computational and visual analytic techniques, from research areas such as text mining, deep learning, information visualization and science mapping, such that readers can apply these tools to the study of a subject matter of their choice. In addition, we set the diverse set of methods in an integrative context, that draws upon insights from philosophical, sociological, and evolutionary theories of what drives the advances of science, such that the readers of the book can guide their own research with their enriched theoretical foundations..Scientific knowledge is complex. A subject matter is typically built on its own set of concepts, theories, methodologies and findings, discovered by generations of researchersand practitioners.  Scientific knowledge, as known to the scientific community as a whole, experiences constant changes. Some changes are long-lasting, whereas others may be short lived. How can we keep abrea
出版日期Textbook 2017
关键词Knowledge Domain Visualization; Knowledge Extraction; Science Mapping; Visual Perception; Visualization
版次1
doihttps://doi.org/10.1007/978-3-319-62543-0
isbn_softcover978-3-319-87336-7
isbn_ebook978-3-319-62543-0
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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Representing Biomedical Knowledge,We introduce the structures and features of several widely known and inspirational resources for representing concepts and semantic relations in biomedical knowledge, namely MeSH, ULMS, SemRep, and Semantic MEDLINE. Many examples in subsequent chapters make use of these resources.
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Science Mapping Tools and Applications,n utilize these freely available tools to study a scientific domain of interest. CiteSpace provides a variety of metrics and indicators concerning trends and patterns in scientific literature. Many of these metrics are explained further with illustrative examples from applications of CiteSpace. Cite
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Measuring Scholarly Impact,nd the advance of science itself. In this chapter, we summarize an array of fundamental and widely used concepts and computational methods for measuring scholarly impact as well as identifying more generic properties such as semantic relatedness, burstness, clumping, and centrality. Most of these co
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