The information gain of an attribute tells you how much information with respect to the classification target the attribute gives you. That is, it measures the difference in information between the cases where you know the value of the attribute and where you don't know the value of the attribute. A common measure for the information is Shannon entropy, although any measure that allows to quantify the information content of a message will do.