The Rule Responder eScience Infrastructure

TL;DR

The paper introduces the Rule Responder eScience middleware, enabling users to create rule-based agents that transform and automate chemical information processing for personalized, practical scientific applications.

Contribution

It presents a novel middleware framework that allows declarative rule-based control over chemical information transformation and decision-making in e-Science.

Findings

Enables personalized chemical data processing

Supports automated decision-making in e-Science

Improves accessibility and usefulness of chemical information

Abstract

To a large degree information and services for chemical e-Science have become accessible - anytime, anywhere - but not necessarily useful. The Rule Responder eScience middleware is about providing information consumers with rule-based agents to transform existing information into relevant information of practical consequences, hence providing control to the end-users to express in a declarative rule-based way how to turn existing information into personally relevant information and how to react or make automated decisions on top of it.