These two articles introduce a new model of probablistic information retrieval (PIR) that is based on the statistical technique of the combination of expert opinion (CEO), which in this model is the opinions of indexers and users. Part 1 presents the conceptual basis, while Part 2 explains the mathematical details. (73 references) (LRW)

Discusses the inclusion of expert systems in library and information science (LIS) education in such areas as library management, classification and indexing, and information retrieval. Emphasis is placed on involvement in developing areas such as programing and knowledge acquisition to create information professionals able to use the new…