ONTOLOGY-DRIVEN CONSTRUCTION OF SEMANTIC BUSINESS INTELLIGENCE MODELS

摘要

Techniques are described for modeling information from a data source. In one example, a method for modeling information from a data source includes identifying 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. The method further includes mapping 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. The method further includes generating 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.

主权项

1. A method for constructing a semantic model of a data source, the method comprising:
identifying, with one or more computing devices, 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; mapping, with the one or more computing devices, 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 generating, with the one or more computing devices, 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.