Measuring word similarities is a fundamental issue in NLP, while the measuring procedure is always aided by dictionaries or corpus. However, when figurative or metaphor usages are considered, the situation becomes more complicated. Therefore, based on the Chinese-English bilingual lexical cognitive property knowledgebase we constructed, we design several algorithms to compute word similarities by metaphorical properties. Through experiments based on four different algorithms and over 200 word pairs in the knowledgebase, we find the algorithm DSOMP yields better results despite of the differences of word semantic classes and languages.