Since you mention at the beginning that your plan is to run a regression on this data, note that @fcas80's point applies to a regression too. The coefficient on one of these variables implies that the effect of moving from 1 to 2 is the same as the effect of moving from 4 to 5.
If you have enough data, you can treat the ratings as factors (dummy variables). That gets around the problem of ordinal data and eliminates any reason for normalizing. It does sometimes make interpretation of the results more complicated.