PLANNING-BASED AUTOMATED FUSING OF DATA FROM MULTIPLE HETEROGENEOUS SOURCES

摘要

Methods and software for automatedly answering dynamic queries requiring fusing of data from various ones of multiple available heterogeneous data sources. The data sources are characterized and interrelated using a suitable ontology. In one implementation, each dynamic query is analyzed to determine the data items required to answer that query, along with their levels of detail. The data items and levels of detail are used to determine which ones of the multiple data sources are needed to answer the query. The data items, levels of detail, and the ontology of the data sources are then used to automatedly develop a data-fusing plan for fusing data from the needed data sources in a manner that answers the query. The data-fusing plan is executed, and the query is answered.