2. A method for data mapping acceleration, the method comprising: generating, by a processor, a syntactic profile of a data source to be mapped; generating a semantic classification of the data source by classifying values for a column of data from the data source by using an ontology that includes hierarchal classes, wherein a class of the hierarchal classes includes an attribute of including a lexical realization, and using classes from the ontology for which the lexical realization of the classes matches a column name of the column of the data; and evaluating the syntactic profile and semantic classification to determine an overall similarity between attributes of the data from the data source for mapping the data source.
2. A method for data mapping acceleration, the method comprising: generating, by a processor, a syntactic profile of a data source to be mapped; generating a semantic classification of the data source by classifying values for a column of data from the data source by using an ontology that includes hierarchal classes, wherein a class of the hierarchal classes includes an attribute of including a lexical realization, and using classes from the ontology for which the lexical realization of the classes matches a column name of the column of the data; and evaluating the syntactic profile and semantic classification to determine an overall similarity between attributes of the data from the data source for mapping the data source. 13. The method of claim 2 , wherein if a value of a column of the data from the data source includes multiple classifications that include a sub-class and super class relationship, the method further comprising identifying subsumption relationships and retaining a specific subsumee for determining the semantic classification.