Web Service Matchmaking Based on Linguistic Variables

Matchmaking is considered as one of the crucial factors to ensure pervasive discovery of web services. Current matchmaking methods are inadequate to semantic information with machine understandable, therefore intelligent service discovery can not be carried on. In this paper, we use fuzzy linguistic variables to represent the vague or imprecise data at abstract level. The match method performs two levels, first level is capability match by inputs and outputs interfaces based on description logic reasoning, and the second level is the fuzzy match with linguistic variables, thus the more reasonable results will be presented to the users for selection.