This document summarizes research on exploiting large-scale web semantics. It discusses using the semantic web as a source of background knowledge for ontology mapping. Two strategies are described for deriving mappings between terms by combining information from multiple online ontologies in the semantic web. An evaluation of using these strategies to map over 1600 terms between the AGROVOC and NALT ontologies achieved a 70% precision rate by drawing from 180 different ontologies in the semantic web. The research demonstrates that the semantic web can effectively be used as a source of background knowledge to address the knowledge acquisition bottleneck and help scale intelligent problem solving.