Table of contents

Semantic Web for Life Sciences

Introductions

Background: The Product Lifecycle of a Pharmaceutical Drug

Current Drug Discovery and Development is Highly Inefficienty and Expensive

Majority of Drug Discovery Investment Today Spent on Non-Productive Projects

Successful Drugs Have Successful Returns

Discovery Process

Basic Discovery IT Challenges

Unified Scientific Data Access

Infinity's Web Services Implementation

Data Explosion: Two Examples

Semantic Extensibility

Why The Semantic Web Matters In Life Sciences R&D