Chapter Overview
This chapter describes major Knowledge Mapping techniques and how they are used for mapping bioterrorism-related literature. The invisible college, which consists of a small group of highly productive and networked scientists and scholars, is believed to be responsible for the growth of scientific knowledge. By analyzing scholarly publications of these researchers using select content analysis, citation network analysis, and information visualization techniques, Knowledge Mapping helps reveal this interconnected invisible college of scholars and their ideas. This chapter outlines the important techniques used in Knowledge Mapping, presents how these techniques are used for mapping bioterrorism-related literature, and shows some findings related to the productivity status, collaboration status, and emerging topics in the bioterrorism domain.
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Suggested Reading
Chen, H., and Roco, M. (2008). Mapping Nanotechnology Innovations and Knowledge: Global, Longitudinal Patent and Literature Analysis. New York: Springer. This book is about Mapping Nanotechnology Innovations and Knowledge. It shows the systematic and automated knowledge mapping methodology to collect, analyze and report nanotechnology research on a global basis. The result of these analyses is a systematic presentation of the state of the art of nanotechnology, which includes basic analysis, content analysis, and citation network analysis of comprehensive nanotechnology findings across technology domains, inventors, institutions, and countries.
Chen, C. (2003). Mapping Scientific Frontiers: The Quest for Knowledge Visualization. New York: Springer Verlag. This book examines the history and the latest developments in the quest for knowledge visualization from an interdisciplinary perspective, ranging from theories of invisible colleges and competing paradigms, to practical applications of visualization techniques for capturing intellectual structures, and the rise and fall of scientific paradigms. Containing simple and easy to follow diagrams for a modeling and visualization procedures, as well as detailed case studiesm and real-world examples, this is a valuable reference source for researchers and practitioners.
Online Resources Various online resources are available for mapping scientific knowledge. Abstracts and Indexes:
The primarily databases generated by the National Library of Medicine (such as MEDLINE or TOXLINE) (http://www.nlm.nih.gov/)
Commercial full-text journal articles and digital libraries:
Web of Science (http://scientific.thomson.com/products/wos/)
The ACM Digital Library (http://portal.acm.org/dl.cfm)
The IEEE Computer Society Digital Library (http://www.computer.org/portal/site/csdl/index.jsp)
Free full-text articles and e-prints:
The Free Medical Journals site (http://www.freemedicaljournals.com/)
HighWire Press (http://highwire.stanford.edu/lists/freeart.dtl)
arXiv.org service (http://arxiv.org/)
Citation indexing systems and services:
The Science Citation Index (http://scientific.thomson.com/products/sci/)
Google Scholar (http://scholar.google.com/intl/en/scholar/)
CiteSeer (http://citeseer.ist.psu.edu/citeseer.html)
Electronic Theses and Dissertations (ETD):
ProQuest system (http://il.proquest.com/brand/umi.shtml)
The Networked Digital Library of Theses and Dissertations (NDLTD, http://www.ndltd.org/)
Patents:
United States Patent and Trademark Office (USPTO, http://www.uspto.gov/)
European Patent Office (EPO, http://www.european-patent-office.org/index.en.php)
Japan Patent Office (JPO, http://www.jpo.go.jp/)
Business and industry articles and reports:
Forrester (http://www.forrester.com)
IDC (http://www.idc.com)
Gartner (http://www.gartner.com)
Besides the above resources, there are also a lot of Web sites, forums, chat rooms, blogs, multimedia sites, social networking sites, and virtual worlds that can be used for mapping scientific knowledge.
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Dang, Y., Zhang, Y., Chen, H., Larson, C.A. (2011). Knowledge Mapping for Bioterrorism-Related Literature. In: Castillo-Chavez, C., Chen, H., Lober, W., Thurmond, M., Zeng, D. (eds) Infectious Disease Informatics and Biosurveillance. Integrated Series in Information Systems, vol 27. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-6892-0_14
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