Semantic web technology for business intelligence

Texto escrito por: Rafael Berlanga, Oscar Romero, Alkis Simitsis, Victoria Nebot, Torben Bach Pedersen,Alberto Abelló. María José Aramburu.

Los autores hacen un análisis de cómo las tecnologías asociadas a la Web Semántica están impactando en el ámbito de la inteligencia de negocio, en los productos denominados Business Intelligence.

Resumen su artículo de esta forma:

His chapter describes the convergence of two of the most influential technologies in the last decade, namely business intelligence (BI) and the Semantic Web (SW). Business intelligence is used by almost any enterprise to derive important business-critical knowledge from both internal and (increasingly) 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, Semantic Web 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. The chapter first presents a motivating running example, followed by an introduction to the relevant SW foundation concepts. The chapter then goes on to survey the use of SW technologies for data integration, including semantic