Based on this analysis, the authors propose a conceptualisation approach for semantics discovery and management in enterprise information systems models, based on applying fact-oriented transformation rules.
The history of information systems modeling has been characterized by a plethora of techniques and notations, with occasional religious wars between proponents of different approaches.
The quantification of sediment volumes was performed through a combined approach consisting of: (i) detailed geomorphological mapping of sediment storage landforms, by means of high accuracy field and remote mapping of sediment storage landforms, (ii) shallow geophysical investigations and (iii) geographic information systems modeling techniques.
The methodology is illustrated using a case study in Australia and underpinned by a geographic information system model.
A virtual species was created and then dispatched in a geographic information system model of a real landscape following three historic scenarios: (1) spreading, (2) at equilibrium, and (3) overabundant species.
The main contributions of this research are a set of data and system requirements for implementing equipment maintenance applications in industrial environments, and an information system model that provides a scalable and fault tolerant big data pipeline for integrating, processing and analysing industrial equipment data.
The diagram below (Figure 3), is a representation of the widely-used OAIS (Open Archival Information System) model for designing and implementing digital archives, and it illustrates the key components of a working archive which require the application of carefully chosen standards and practices (Consultative Committee for Space Data Systems, [55], p. 4 1).
The concept to utilize Mediboard, a French hospital information system model, emerged.
The NOx emission map was used as the basis for modeling NO2 concentrations using focal sum techniques in a global information system model.
The self-management model element features in most studies that show significant results for a measure of improvement, while the clinical information system model element is rarely used.
