1. A method of discovering entity types for a set of records, said method comprising: inputting a set of records, each record comprising attributes with associated attribute values; grouping the records into candidate entity types in view of at least one of: the attribute values of the records, at least one domain ontology, and at least one dimension hierarchy, wherein the grouping comprises constructing a lattice space of attribute combinations and wherein the candidate entity types are based upon one or more of the attribute combinations; calculating an interestingness measure of each candidate entity type being associated with one or more of the attribute combinations, wherein the interestingness measure comprises a measure of relevance of a candidate entity type and wherein the calculating comprises estimating interestingness of the one or more attribute combinations associated with the candidate entity type based on a correlation between attribute values of records and attributing the interestingness of the one or more attribute combination associated with the candidate entity type to the candidate entity type; the correlation being identified by calculating a correlation score between a pair of attributes of an attribute combination of the candidate entity type, wherein the correlation score is based upon functional dependency between the pair of attributes and an intended usage of the candidate entity type; ranking the candidate entity types based upon the interestingness measure attributed to each candidate entity types; validating, by ranked order, at least one of the candidate entity types based on the calculated interestingness measures; and grouping, using the validated candidate entity types, attributes of entities within the set of records into entity types identified by the validated candidate entity types.
1. A method of discovering entity types for a set of records, said method comprising: inputting a set of records, each record comprising attributes with associated attribute values; grouping the records into candidate entity types in view of at least one of: the attribute values of the records, at least one domain ontology, and at least one dimension hierarchy, wherein the grouping comprises constructing a lattice space of attribute combinations and wherein the candidate entity types are based upon one or more of the attribute combinations; calculating an interestingness measure of each candidate entity type being associated with one or more of the attribute combinations, wherein the interestingness measure comprises a measure of relevance of a candidate entity type and wherein the calculating comprises estimating interestingness of the one or more attribute combinations associated with the candidate entity type based on a correlation between attribute values of records and attributing the interestingness of the one or more attribute combination associated with the candidate entity type to the candidate entity type; the correlation being identified by calculating a correlation score between a pair of attributes of an attribute combination of the candidate entity type, wherein the correlation score is based upon functional dependency between the pair of attributes and an intended usage of the candidate entity type; ranking the candidate entity types based upon the interestingness measure attributed to each candidate entity types; validating, by ranked order, at least one of the candidate entity types based on the calculated interestingness measures; and grouping, using the validated candidate entity types, attributes of entities within the set of records into entity types identified by the validated candidate entity types. 8. The method according to claim 1 , wherein said grouping comprises consulting all of: the attribute values of the records, domain ontologies and dimension hierarchies.