ABSTRACT
Semantic Gossiping (Chap. 4) has introduced novel methods relying on the analysis of mapping closures in order to detect semantic disagreement as well as to selectively forward queries in a network of heterogeneous parties. Such methods suffer, however, from certain issues that limit their applicability and performance in practice:
(1) In Semantic Gossiping, a peer performs its analysis autonomously and independently of the other peers. Peers that form a semantic cycle all examine the cycle in isolation without exchanging or reusing the computations of the other peers in the cycle.
