Chemical Information Mining

Chemical Information Mining

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, n...

Mô tả đầy đủ

Đã lưu trong:
Chi tiết về thư mục
Tác giả chính: Banville, Debra
Định dạng: Sách
Ngôn ngữ:English
Được phát hành: CRC Press 2009
Truy cập trực tuyến:http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/1675
Các nhãn: Thêm thẻ
Không có thẻ, Là người đầu tiên thẻ bản ghi này!
Thư viện lưu trữ: Thư viện Trường Đại học Đà Lạt
id oai:scholar.dlu.edu.vn:DLU123456789-1675
record_format dspace
spelling oai:scholar.dlu.edu.vn:DLU123456789-16752009-12-04T03:04:37Z Chemical Information Mining Banville, Debra 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. 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 2009-12-04T03:04:37Z 2009-12-04T03:04:37Z 2008 Book http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/1675 en application/rar CRC Press
institution Thư viện Trường Đại học Đà Lạt
collection Thư viện số
language English
description 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.
format Book
author Banville, Debra
spellingShingle Banville, Debra
Chemical Information Mining
author_facet Banville, Debra
author_sort Banville, Debra
title Chemical Information Mining
title_short Chemical Information Mining
title_full Chemical Information Mining
title_fullStr Chemical Information Mining
title_full_unstemmed Chemical Information Mining
title_sort chemical information mining
publisher CRC Press
publishDate 2009
url http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/1675
_version_ 1757664948010352640

Những quyển sách tương tự