Abstract: A computer-implemented method, system and computer program product for recommending join operations of relational data among different tables. Relationships between one or more pairs of columns of relational data for one or more pairs of tables are identified by determining the semantic similarity between each pair of columns of relational data. The data content join converge for each of the identified relationships in connection with joining the tables involved in such identified relationships is determined. Furthermore, a join strength (indication of the degree that the relational data in the paired columns match) is calculated for each of the identified relationships based on the semantic similarity and the data content join coverage for such identified relationships. Based on the calculated join strength as well as other factors, a combination optimization algorithm identifies the best join combinations of relational data of the tables among a set of tables.

Abstract: A computer-implemented method, system and computer program product for recommending join operations of relational data among different tables. Relationships between one or more pairs of columns of relational data for one or more pairs of tables are identified by determining the semantic similarity between each pair of columns of relational data. The data content join converge for each of the identified relationships in connection with joining the tables involved in such identified relationships is determined. Furthermore, a join strength (indication of the degree that the relational data in the paired columns match) is calculated for each of the identified relationships based on the semantic similarity and the data content join coverage for such identified relationships. Based on the calculated join strength as well as other factors, a combination optimization algorithm identifies the best join combinations of relational data of the tables among a set of tables.