Abstract: The subject invention pertains to database reverse query matching. A text document can be received and analyzed to determine which, if any, queries the document matches. To enable such functionality, a number of intermediate structures such as tables are generated in accordance with designated queries. In particular, a canonical table can be generated that specifies the expressions or phrases as well as match rules. Furthermore, a Boolean table can be generated that specifies the Boolean relationship of expressions in canonical table. A match component or methodology can match text phrases to query phrases identified by the canonical table. An evaluation component or related methodology can subsequently utilize the Boolean table to determine if the preliminary phrase matches match the query logic.
Abstract: The present invention discloses a method, request detector, inference engine, and system for consolidating data from distributed databases into a central database. The method comprises the steps of receiving access information comprising request information to the distributed databases, analyzing the received access information, and aggregating into the central database the data content of the distributed databases in dependence on the analyzed access information.
Type:
Grant
Filed:
September 15, 2005
Date of Patent:
July 15, 2008
Assignee:
International Business Machines Corporation
Inventors:
Stefan G. Hild, Rene A. Pawlitzek, Walid W. Rjaibi, Markus Stolze