This document discusses the development of a semantic laboratory information management system for stem cell research. It aims to unify public stem cell resources, create a plug-and-play architecture for data access, and enable decision support and agent-oriented modeling and simulations. The system addresses challenges like data incoherence and deluge by mapping databases to ontologies to integrate stem cell data and building an agent-based stem cell model. Its current status involves automatically mapping databases and creating ontologies.