A Semantic Approach to Enterprise Information Integration

Abstract

The emerging Internet of Things technologies enable enterprises to collect a variety of real-time data from the physical world, making a case for accessing, combining, interpreting, and distributing such data in real-time too. Enterprise Information Integration (EII) aims at providing tools for integrating data from multiple sources without having to first load all the data into a central warehouse, and, in so, for accessing live data. In this paper, we introduce a practical semantic EII solution, which, in addition to addressing the data virtualization and federation problems of EII, also provides data abstraction and data pipeline capabilities. This solution has been implemented as a software platform as well as applied in an operational enterprise system in the parking domain.