Abstract—Workflow systems by it’s nature can help bioin-
formaticians to plan for their experiments, store, capture and
analysis of the runtime generated data. On the other hand, the life
science research usually produces new knowledge at an increasing
speed; Knowledge such as papers, databases and other systems
knowledge that a researcher needs to deal with is actually a
complex task that needs much of efforts and time. Thus the
management of knowledge is therefore an important issue for life
scientists. Approaches has been developed to organize biological
knowledge sources and to record provenance knowledge of an
experiment into a readily resource are presently being carried
out. This article focuses on the knowledge management of in
silico experimentation in bioinformatics workflow systems.
Index Terms—Bioinformatics Workflows; Knowledge Manage-
ment; Ontologies; Scientific Workflows; Semantic Web.