Unified Access to Heterogeneous Data Sources Using an Ontology


The rise of cloud computing started a transition for software applications from local to remote infrastructures. This migration created an opportunity to aggregate and consolidate analogous data content. However, this data content usually come with very different data structures and data terminologies and is usually tightly coupled to one or more applications. With these disparities and restrictions, the analogous data ends up both centrally stored but spread over several disconnected heterogeneous data sources. In this article, we present an approach to aggregate data sources using live data consolidation. The approach preserves the original data sources; and by doing so, prevents associated applications from having to migrate to a new data source. The approach uses an ontology at its core to serve as a common semantic ground between data sources and leverage its stored knowledge to expand query capabilities.

Download publication

Related Resources

See what’s new.



Effects of Team Size on Participation, Awareness, and Technology Choice in Geographically Distributed Teams

In this paper we investigate the effects that team size has on…



Fast bio-inspired computation using a GPU-based systemic computer

Biology is inherently parallel…



Path Counting for Grid-Based Navigation

Counting the number of shortest paths on a grid is a simple procedure…



Ivy: Exploring Spatially Situated Visual Programming for Authoring and Understanding Intelligent Environments

The availability of embedded, digital systems has led to a multitude…

Get in touch

Something pique your interest? Get in touch if you’d like to learn more about Autodesk Research, our projects, people, and potential collaboration opportunities.

Contact us