Chemical Information Mining

Regular price €235.60
Title
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
academic research methods
bioinformatics integration
Category=PSAX
Category=UNF
Category=UYQL
chemical literature mining techniques
cheminformatics
eq_bestseller
eq_computing
eq_isMigrated=1
eq_nobargain
eq_non-fiction
eq_science
molecular entity recognition
scientific data extraction
semantic data analysis

Product details

  • ISBN 9781420076493
  • Weight: 506g
  • Dimensions: 156 x 234mm
  • Publication Date: 15 Dec 2008
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
Secure checkout Fast Shipping Easy returns

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