Chemical Information Mining: Facilitating Literature Based Discovery
Debra L. Banville “Chemical Information Mining: Facilitating Literature-Based Discovery"
CRC | 2008-11-11 | ISBN: 1420076493 | 208 pages | PDF | 4,5 MB
This 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.
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Natural Language Processing Entity Recognition Available Solutions Chemical Names Easy Share Chemical Information Banville Information Extraction Text Mining Semantic Web Web Technologies Current Trends Semantics Life Sciences Discovery Scientists Literat
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