17. The non-transitory computer-readable medium of claim 16 , wherein the calculating the respective semantic relatedness value between the set of new terms and each of the respective set of common terms comprises: calculating a respective statistic based semantic relatedness between each of the set of new terms and each of the respective set of common terms; calculating a respective content based semantic relatedness, which corresponds to the statistic based semantic relatedness, between each of the set of new terms and each of the respective set of common terms; assigning an adjustable weight factor to each one of the respective statistic based semantic relatedness and the respective content based semantic relatedness; and calculating the respective semantic relatedness value based on the respective statistic based semantic relatedness, the respective content based semantic relatedness, and the adjustable weight factor.
17. The non-transitory computer-readable medium of claim 16 , wherein the calculating the respective semantic relatedness value between the set of new terms and each of the respective set of common terms comprises: calculating a respective statistic based semantic relatedness between each of the set of new terms and each of the respective set of common terms; calculating a respective content based semantic relatedness, which corresponds to the statistic based semantic relatedness, between each of the set of new terms and each of the respective set of common terms; assigning an adjustable weight factor to each one of the respective statistic based semantic relatedness and the respective content based semantic relatedness; and calculating the respective semantic relatedness value based on the respective statistic based semantic relatedness, the respective content based semantic relatedness, and the adjustable weight factor. 18. The non-transitory computer-readable medium of claim 17 , wherein, for each of the respective set of common terms, calculating the respective statistic based semantic relatedness comprises: retrieving a first set of search results of a first internet based search on a first term selected from the set of new terms; retrieving a second set of search results of a second internet based search on a second term selected from the set of common terms; retrieving a third set of search results of a third internet based search on the first term combined with the second term; and calculating the respective statistic based semantic relatedness based on respective counts of the first set of search results, the second set of search results, and the third set of search results.