Modeling and Composing Uncertain Web Resources
Abstract
Nowadays, huge quantities of data are produced and published on the Web, coming from individuals, connected objects, and organizations. Uncertainty happens when combining data from different sources that contain heterogeneous, contradictory, or incomplete information. Today, there is still a lack of solutions in order to represent uncertainty that appears on the Web. In this paper, we introduce the concept of uncertain RESTful resource and propose a model and an algebra to interpret such resources.