Explain how to translate Lebesgue to Riemann integral in expected value definition

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I have such general equation for expected value definition in this book, p 64 $$ E(X)=\int_\Omega \omega(\zeta)P(d\zeta) $$ where $\omega$ is random value and $P$ is probability function.

How to translate it to classic Riemann integral definition

$$ E(X)= \int_\Omega w(\zeta)f(\zeta)d\zeta $$

where $f(\zeta)$ is probability density? I found simular question there, but there is another designation