  This paper, is an attempt to extend the notion of stochastic viscosity
solution to reflected semi-linear stochastic partial differential equations
(RSPDEs, in short) with non-Lipschitz condition on the coefficients. Our method
is fully probabilistic and use the recently developed theory on reflected
backward doubly stochastic differential equations (RBDSDEs, in short). Among
other, we prove the existence of the stochastic viscosity solution, and further
extend the nonlinear Feynman-Kac formula to reflected SPDEs, like one appear in
\cite{2}. Indeed, in their recent work, Aman and Mrhardy \cite{2} established a
stochastic viscosity solution for semi-linear reflected SPDEs with nonlinear
Neumann boundary condition by using its connection with RBDSDEs. However, even
Aman and Mrhardy consider a general class of reflected SPDEs, all their
coefficients are at least Lipschitz. Therefore, our current work can be thought
of as a new generalization of a now well-know Feymann-Kac formula to SPDEs with
large class of coefficients, which does not seem to exist in the literature. In
other words, our work extends (in non boundary case) Aman and Mrhardy's paper.
