Context-based modelling of information demand: approaches from information logistics and decision support

Abstract

Readily available information is a crucial basis for making decisions, solving problems, or performing knowledge intensive work. Providing such information meeting the needs of a user has to be based on an accurate, purpose-oriented and up-to-date representation of the demand in question. The paper is devoted to a study of different context-based models of user demand. The selected approaches from the fields of information logistics and decision support are based on enterprise models and objectoriented constraint networks (OOCN). Combining these approaches will allow for an orchestrated use of enterprise models and OOCN for decision support. Discussion and integration of these approaches is illustrated using an example enterprise model, a related information demand context and a corresponding decision support context