What problem is to the set packing problem, as the hitting set problem to the set cover problem?
Let $E$ be indicator matrix $e_{ij}=[u_j\in S_i]$ and $w\geq 0$ be boolean vector. What you have written is $Ew\leq 1$ where $(1,w)$ is being maximized. If we relax this to linear programming and get respective dual $E^tv\geq 1,\, v\geq 0$ where $(1,v)$ is minimized. Latter problem under constraints $u\in\{0,1\}^m$ would be Set Cover problem. To get respective Hitting Set consider new sets $S'_j=\{S_i:u_j\in S_i,\,i=1,\ldots,m\}$ and new ground set $U'=\{S_i:i=1,\ldots,m\}.$ The Set Cover reduces to Hitting Set for sets $\{S'_j\}$ over ground set $U'.$ So Set Packing and Set Cover are dual in some way. But  their optimal values do not coincide but they do coincide for their convex relaxations. More on this topic see e.g. in Wlliamson

You could also consider $H$ as being maximum independent families of sets $S_i.$ Let $F_h=\bigcup\limits_{h\in S_i}S_i,\,h\in H.$ These families are non-intersecting. Set Packing optimum is the lower bound for Set Cover.

As for $H$ interpretation. I suppose $S_i$ represents class of some useful things to take. Overall utility is maximized while the only one thing can be taken from each class.