An Automatic Drug Discovery Workflow Generation Tool Using Semantic Web Technologies

Recent trends in life science and the pharmaceutical industry indicate that the drug discovery process could benefit greatly from both web service and semantic web technology. While web services provide a platform to allow different applications to interact with each other programmatically, semantic web developments are aiming at making web content machine-understandable and meta-level exploitation for data and computation possible. In this paper we demonstrate an automatic drug discovery workflow generation tool using semantic web service technologies. More specifically, we extend standard web services with semantic annotations specified in the domain ontology to enable semantic level interoperability. We also implement a service composition algorithm using linear planning approach, and using such an algorithm meaningful workflows for drug discovery could be generated automatically.