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.
Virtual e-Science infrastructures supporting Web-based scientific workflows
are an example for knowledge-intensive collaborative and weakly-structured
processes where the interaction with the human scientists during process
execution plays a central role. In this paper we propose the lightweight
dynamic user-friendly interaction with humans during execution of scientific
workflows via the low-barrier approach of Semantic Wikis as an intuitive
interface for non-technical scientists.