The availability if semantically rich structured resources makes the search of such resources on the web even more interesting,where the formation of a meaningful stuctured query is now possible for better retrieval.Incorporation of conceps like role,category,topic,class,asttributes,etc. to indicate the search target and constraints in a structured query enable better definition of information needs.However,the vareties of usages in application contexts create heterogeneity of structures definition and presentation,thus making it hard of using this information when formulating structured query for a seacrh process.Hence, we are motivated to automate transformation of unstructured queries (which are more common for web user),to structured queries (which support better specification of information needs). This paper first explores two important issues ariesen in the process of query transformation,i.e.multiple structures (with respect to the needs of hadling multiple structured queries type) and multiple semantic (with respect to the needs of hadling different collections of structured resources). Along with these issues,we define research problems,followed by an approach of mediating multiple structures and multiple semantics to support the query transformation from unstructured to structured form. Keywords: Query transformation; structured retrieval; semantic structures; search.