8. A computer-implemented search method of a semantic-based search system, the method comprising: (a) generating, using a processor, a user log storing information searched by a user by reflecting user preference; (b) generating, using a processor, a common log storing knowledge corresponding to general knowledge when the user inputs a keyword; (c) analyzing, using a processor, vector characteristics corresponding to an instance among interpretation alternatives according to the keyword input; (d) calculating, using a processor, weighted values of confidence values and cosine similarity values of interpretation alternatives including the vector characteristics of the instance with respect to at least any one of the common log and the user log; and (e) aligning, using a processor, rankings of the interpretation alternatives according to the keyword input on the basis of the calculated weighted values of the confidence values and the cosine similarity values.
8. A computer-implemented search method of a semantic-based search system, the method comprising: (a) generating, using a processor, a user log storing information searched by a user by reflecting user preference; (b) generating, using a processor, a common log storing knowledge corresponding to general knowledge when the user inputs a keyword; (c) analyzing, using a processor, vector characteristics corresponding to an instance among interpretation alternatives according to the keyword input; (d) calculating, using a processor, weighted values of confidence values and cosine similarity values of interpretation alternatives including the vector characteristics of the instance with respect to at least any one of the common log and the user log; and (e) aligning, using a processor, rankings of the interpretation alternatives according to the keyword input on the basis of the calculated weighted values of the confidence values and the cosine similarity values. 9. The search method of claim 8 , wherein the confidence values include confidence values between the common log and the interpretation alternatives and confidence values between the user log and the interpretation alternatives.