This document discusses enabling efficient data queries in Mobile Ad-hoc SOcial Networks (MASONs). MASONs allow users with shared interests to connect via Bluetooth or WiFi to query localized data from each other's devices. The challenges of opportunistic connectivity, distributed storage, and unknown expertise are addressed. A centralized optimization model is proposed to minimize communication costs while supporting query rates within delay budgets. A distributed query protocol uses "reachable expertise" routing and controlled redundancy to improve query delivery rates. The protocol's feasibility and efficiency are evaluated through a testbed and simulations.