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E-Book

E-Book, Englisch, 208 Seiten

Banville Chemical Information Mining

Facilitating Literature-Based Discovery
1. Auflage 2008
ISBN: 978-1-4200-7650-9
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

Facilitating Literature-Based Discovery

E-Book, Englisch, 208 Seiten

ISBN: 978-1-4200-7650-9
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)



The First Book to Describe the Technical and Practical Elements of Chemical Text Mining
Explores the development of chemical structure extraction capabilities and how to incorporate these technologies in daily research work
For scientific researchers, finding too much information on a subject, not finding enough information, or not being able to access full text documents often costs them time, money, and quality. Addressing these concerns, Chemical Information Mining: Facilitating Literature-Based Discovery presents strategic ideas for properly selecting and successfully using the best text mining tools for scientific research.

Links chemical and biological entities at the heart of life science research
The book focuses on information extraction issues, highlights available solutions, and underscores the value of these solutions to academic and commercial scientists. After introducing the drivers behind chemical text mining, it discusses chemical semantics. The contributors describe the tools that identify and convert chemical names and images to structure-searchable information. They also explain natural language processing, name entity recognition concepts, and semantic web technologies. Following a section on current trends in the field, the book looks at where information mining approaches fit into the research needs within the life sciences.

Shaping the future of scientific information and knowledge management
By building knowledge and competency in the growing area of literature-based discovery, this book shows how text mining of the chemical literature can increase drug discovery opportunities and enhance life science research.

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Zielgruppe


Research scientists in industry, academia, and government including those in chemistry, biochemistry,the  pharmaceutical; sciences, toxicology, computer sciences, chemo- and bio-informatics, and information and library sciences. Medicinal chemists and others in the pharmaceutical industry; developers of chemical software.


Autoren/Hrsg.


Weitere Infos & Material


Preface
INTRODUCTION TO INFORMATION MINING FOR THE LIFE SCIENCES
Illustrating the Power of Information in Life Science Research
Debra L. Banville
Chemical Information Mining: A New Paradigm

Debra L. Banville
CHEMICAL SEMANTICS
Automated Identification and Conversion of Chemical Names to Structure-Searchable Information

Antony J. Williams and Andrey Yerin
Identification of Chemical Images and Conversion to Structure-Searchable Information

A. Peter Johnson and Anikó T. Valkó
Chemical Entity Formatting

Bedrich Košata
Chemical XML Formatting

Miloslav Nic
TRENDS IN CHEMICAL INFORMATION MINING
Linking Chemical and Biological Information with Natural Language Processing

Corinna Kolárik and Martin Hofmann-Apitius
Semantic Web

Colin Batchelor and Richard Kidd
INVOLVING THE RESEARCHERS AND CLOSING THE LOOP
The Future of Searching for Chemical Information

David J. Wild and Roger Beckman
Summary and Closing Statements

Debra L. Banville
Index



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