1. A method for estimating a labor cost to reconcile semantic conflicts between data schema terms used in different data sources, the method comprising the steps of: a computer estimating a labor cost for mapping, to shared ontology terms, respective pairs of the data schema terms having semantic conflicts with each other, the computer system estimating the labor cost based on at least five of the following: (a) a number of the data sources that contain the data schema terms having the semantic conflicts, (b) an approximate number of the data schema terms in each of the data sources, (c) an approximate labor cost for implementing the shared ontology terms for each of the data sources, (d) an approximate labor cost to manually map to the shared ontology terms a percent of the data schema terms in each of the data sources, (e) an approximate labor cost to validate a percent of the mappings from the data schema terms to the shared ontology terms, (f) an approximate labor cost to perform functional computation for a percent of the mappings from the data schema terms to the shared ontology terms, and (g) an approximate labor cost to perform structural heterogeneity semantic mapping between a percent of the data schema terms and the shared ontology terms; and the computer displaying on a monitor the estimated labor cost for the mapping, to the shared ontology terms, the data schema terms having semantic conflicts with each other.
1. A method for estimating a labor cost to reconcile semantic conflicts between data schema terms used in different data sources, the method comprising the steps of: a computer estimating a labor cost for mapping, to shared ontology terms, respective pairs of the data schema terms having semantic conflicts with each other, the computer system estimating the labor cost based on at least five of the following: (a) a number of the data sources that contain the data schema terms having the semantic conflicts, (b) an approximate number of the data schema terms in each of the data sources, (c) an approximate labor cost for implementing the shared ontology terms for each of the data sources, (d) an approximate labor cost to manually map to the shared ontology terms a percent of the data schema terms in each of the data sources, (e) an approximate labor cost to validate a percent of the mappings from the data schema terms to the shared ontology terms, (f) an approximate labor cost to perform functional computation for a percent of the mappings from the data schema terms to the shared ontology terms, and (g) an approximate labor cost to perform structural heterogeneity semantic mapping between a percent of the data schema terms and the shared ontology terms; and the computer displaying on a monitor the estimated labor cost for the mapping, to the shared ontology terms, the data schema terms having semantic conflicts with each other. 4. The method of claim 1 further comprising the step of: the computer estimating a labor cost to identify mistakes in the mappings from a plurality of pairs of the data schema terms to a respective plurality of the shared ontology terms, based on differences in human language text associated with the data schema terms in each of the pairs, and determine correct mappings of the data schema terms in each of the pairs to shared ontology terms.