Gastvortrag: Semantic Aware Business Intelligence (O. Romero)
Sprache des Titels:
Englisch
Original Kurzfassung:
This talk tackles the convergence of two of the most influential technologies in the last de-cade, namely business intelligence (BI) and the Semantic Web (SW). BI is used by almost any enterprise to derive important business-critical knowledge from both internal and (in-creasingly) external data. When using external data, most often found on the Web, the most important issue is knowing the precise semantics of the data. Without this, the results cannot be trusted. Here, SW technologies come to the rescue, as they allow semantics ranging from very simple to very complex to be specified for any web-available resource. SW-technologies do not only support capturing the "passive'' semantics, but also support active inference and reasoning on the data. In this talk, we will present a characterization of BI environments in terms of what they require, followed by an introduction to the relevant SW foundation concepts. Then, it goes on to survey the use of SW technologies for data integration, including semantic data annotation and semantics-aware extract, transform, and load processes (ETL). Next, we will describe the relationship of multidimensional (MD) models and SW technologies, including the relationship between MD models and SW formalisms, and the use of advanced SW reasoning functionality on MD models. Finally, all the findings are discussed together and a number of directions for future research are posed.
Forschungs-