Recommendation-Based Evolvement of Dynamic Schemata in Semistructured Information Systems

Community-based collaborative information systems provide the exibility of storing information without having to adhere to any predened, rigid schema. However, the stored knowledge lacks common structure, which is crucial in terms of data access and search capability. We present a novel concept for semistructured information systems, which features a dynamic and self-learning schema system and provides the users with recommendations when entering information. The recommendations ensure the creation and maintenance of a common, homogeneous schema while at the same time not restricting the user’s exibility to enter any kind of information.