| Team forming aims at creating teams to improve collaboration among team members. Multidisciplinary teams (MDCs) are becoming the model of care for cancer patients. Many health-care applications aim at improving MDC member collaboration, e.g., DITIS and GeoHealth are mobile service prototypes that support collaboration via sharing distributed patient records. TeamFormer is designed to support collaboration via forming teams of experts, based on a Semantic Web approach, in the health-care domain. TeamFormer is an instantiation of the RuleML-based Rule Responder, which consists of three kinds of agents: External Agent (EA), Organizational Agent (OA), and Personal Agents (PAs). EA is the web-based interface that is employed by the user to inquire the system. OA is the agent that receives the query and delegates it to the responsible PA. PAs, which have access to human expert profiles, use the rule engine EYE to infer candidates based on the user's preferences. Then, PAs apply a greedy algorithm to select experts for the requested team. TeamFormer shows good performance for creating teams (with up to 12 members) allowing interactive use. |
