Chemical Information Mining

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academic research methods
Atom Labels
bioinformatics integration
Category=PNR
Chemical Data Mining
Chemical Drawing
Chemical Information
chemical literature mining techniques
Chemical Names
cheminformatics
Cml
Connected Components
Connection Table
discovery
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
IBM System
Identifi Er
Identifi Ers
identifier
international
language
Literature Based Discovery
literature-based
Mathematical Expressions
Mining Chemical Information
molecular entity recognition
natural
Part II's Discussion
Part II’s Discussion
PDB Format
processing
Pyridine-2 Carboxylic Acid
scientific data extraction
SciFinder Scholar
Search Engine
semantic
semantic data analysis
Semantic Web
Smile
Te Ch
text
W3C XML Schema
web
XML Documents
XML Schema

Product details

  • ISBN 9780367386207
  • Weight: 453g
  • Dimensions: 156 x 234mm
  • Publication Date: 05 Sep 2019
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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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.

Debra L. Banville