Literature-based Discovery

This is the first coherent book on literature-based discovery (LBD). LBD is an inherently multi-disciplinary enterprise. The aim of this volume is to plant a flag in the ground and inspire new researchers to the LBD challenge.

When Don Swanson hypothesized a connection between Raynaud's phenomenon and dietary fish oil, the field of literature-based discovery (LBD) was born. During the subsequent two decades a steady stream of researchers have published articles about LBD and the field has made steady progress in laying foundations and creating an identity. LBD is an inherently multi-disciplinary enterprise where collaborations between the information and biomedical sciences are readily encountered. It is the hope and intention that this volume will plant a flag in the ground and inspire new researchers to the LBD challenge.

First coherent book on literature-based discovery Includes supplementary material: sn.pub/extras

Texte du rabat

When Don Swanson hypothesized a connection between Raynaud's phenomenon and dietary fish oil, the field of literature-based discovery (LBD) was born. During the subsequent two decades a steady stream of researchers have published articles about LBD and the field has made steady progress in laying foundations and creating an identity. LBD is an inherently multi-disciplinary enterprise where collaborations between the information and biomedical sciences are readily encountered. It is the hope and intention that this volume will plant a flag in the ground and inspire new researchers to the LBD challenge.

Contenu
General Outlook and Possibilities.- Literature-Based Discovery? The Very Idea.- The Place of Literature-Based Discovery in Contemporary Scientific Practice.- The Tip of the Iceberg: The Quest for Innovation at the Base of the Pyramid.- The 'Open Discovery' Challenge.- Where is the Discovery in Literature-Based Discovery?.- Methodology and Applications.- Analyzing LBD Methods using a General Framework.- Evaluation of Literature-Based Discovery Systems.- Factor Analytic Approach to Transitive Text Mining using Medline Descriptors.- Literature-Based Knowledge Discovery using Natural Language Processing.- Information Retrieval in Literature-Based Discovery.- Biomedical Application of Knowledge Discovery.