A semantic extraction system leverages domain expert knowledge, to impart meaningful business information aiding ordinary knowledge consumers in understanding large/complex data volumes and models thereof. Certain embodiments may comprise a layered structure comprising an information uplifting layer, a semantic processing layer, and a visual representation layer. Referencing domain knowledge model(s) created by human domain experts, the information uplifting layer extracts and maintains meaningful information in a semantic structure. The semantic processing layer then processes this extracted information for various different business analysis purposes. Finally, the visual representation layer allows the analyzed and aggregated information to be arranged and visualized via a range of interactive tools. The overall layered structure is powered by the domain knowledge models, which capture specialized knowledge from experts in different domains. Such domains can include industry and enterprise characteristics, data visualization, and model structure and function.