23. The non-transitory medium of claim 16 , further comprising: instructions to present the set of characteristics of the data profile to the user through a query editor based on an auto-complete algorithm in which at least one of the data profile, the initial result set and the subsequent result set is predicted when a partial input of at least one of the initial query and the subsequent query is entered in the query editor.
16. A non-transitory medium, readable through a processor communicatively coupled to a memory and comprising instructions embodied therein that are executable through the processor, comprising: instructions to generate a data profile comprising a set of characteristics captured at various granularities of an initial result set generated from an initial query of a database; instructions to determine what a user expects in at least one of the initial result set of the initial query and a subsequent result set of a subsequent query based on one of the data profile and a heuristically estimated data profile; instructions to enable the user to evaluate a semantic accuracy of the subsequent query based on a likely expectation of the user as determined through the set of characteristics of the data profile; instructions to generate a social data catalog table of information about how users are interacting with at least one of the database and a sample database; instructions to populate the social data catalog table with metadata, a logical definition and description of attributes, information about usage, page views between the users, a social data network, and a statistical data profile; instructions to extract information from external data sources and social media profiles to generate the social data catalog table of information; and instructions to crowd source information from a ranked list of knowledgeable users to generate a ranked order of priority of information presented in profile pages of a curated answers system, wherein the information about usage includes related tables and join predicates as well as relevant filters associated with each table of the at least one of the database and the sample database, wherein the social data network includes a list of users who are knowledgeable about a particular object related to the another query, and wherein the metadata is at least one of a schema name, a table in a schema, a name of an attribute, a data type of the attribute, a primary key associated with the attribute, a constraint of the attribute, a functional dependency between the attributes, an index, a foreign key, a field name, a column name, a table name, and a query description.