| 書目名稱 | Representing Scientific Knowledge | | 副標(biāo)題 | The Role of Uncertai | | 編輯 | Chaomei Chen,Min Song | | 視頻video | http://file.papertrans.cn/828/827530/827530.mp4 | | 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 | | 圖書封面 |  | | 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 | | 關(guān)鍵詞 | Knowledge Domain Visualization; Knowledge Extraction; Science Mapping; Visual Perception; Visualization | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-62543-0 | | isbn_softcover | 978-3-319-87336-7 | | isbn_ebook | 978-3-319-62543-0 | | copyright | Springer International Publishing AG 2017 |
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