Offering a practical introduction for bioinformaticians, computational biologist, and other life scientists, Semantic Web for the Life Sciences explains the basic principles behind the semantic web and explains how to build data management, integration, and analysis solutions that can benefit from this framework. After an overview of basic concepts, the text discusses how to export information on the semantic web and how to use information that is available. It then presents relevant life sciences information resources that are available in the semantic web framework. The authors also include comprehensive, step-by-step examples throughout Semantic Web for the Life Sciences.
Introduction
INTRODUCTION TO THE SEMANTIC WEB
Basic Concepts
More on RDF
Representing Semantics
OWL
The Semantic Web Mindset
Why is the Semantic Web Useful for the Life Sciences?
OPENING INFORMATION ON THE SEMANTIC WEB
Representing Information on the Semantic Web
Publishing Data on the Semantic Web
Working With Ontologies in Protege
A Complete Example: Exporting the Content of the TP53 db on the
Semantic Web (Provisional Example)
CONSUMING INFORMATION FROM THE SEMANTIC WEB
Querying information on the Semantic Web
Programmatic Access to Semantic Web Resources
Tools for the Visualization, Exploration and Analysis of Semantic Web Resources
A Complete Example
LIFE SCIENCE DATABASES ON THE SEMANTIC WEB
Primary Resources
Integrated Resources
CONCLUSIONS
The Life Science Semantic Web
Andrea Splendiani, Ph.D., is a senior scientist in data integration at Rothamsted Research (BBSRC). Paolo Romano, Ph.D., is a senior scientist in bioinformatics at the National Cancer Research Institute in Italy.