Ontology-driven construction of semantic business intelligence models

A computer system for constructing a semantic model of a data set, the computer system comprising:

• one or more processors, one or more computer-readable memories, and one or more computer-readable, tangible storage devices;
• program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to identify one or more lexical clues associated with each of one or more data item headings from the data source based on a set of lexical clue detection rules;
• program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to map each of one or more of the data item headings to one or more business concepts based on comparing the one or more identified lexical clues associated with each of one or more of the data item headings with a business ontology that comprises a description of the business concepts;
• and
• program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to generate a semantic business intelligence model comprising one or more semantic associations between the one or more data item headings based on the mapping of the data item headings to the one or more of the business concepts.

A computer program product for constructing a semantic model of a data set, the computer program product comprising a computer-readable storage medium having program code embodied therewith, the program code executable by a computing device to:

• identify one or more lexical clues associated with each of one or more data item headings from the data source based on a set of lexical clue detection rules;
• map each of one or more of the data item headings to one or more business concepts based on comparing the one or more identified lexical clues associated with each of one or more of the data item headings with a business ontology that comprises a description of the business concepts;
• and
• generate a semantic business intelligence model comprising one or more semantic associations between the one or more data item headings based on the mapping of the data item headings to the one or more of the business concepts.