| US 7,606,835 B2 | ||
| Automatic rules driven data visualization selection | ||
| William Taylor Laaser, Palo Alto, Calif. (US); Nicholas Philip Dearden, Los Gatos, Calif. (US); and Timothy Glenn MacNary, Fairfield, Conn. (US) | ||
| Assigned to Oracle International Corporation, Redwood Shores, Calif. (US) | ||
| Filed on Feb. 14, 2006, as Appl. No. 11/354,348. | ||
| Prior Publication US 2009/0150411 A1, Jun. 11, 2009 | ||
| Int. Cl. G06F 17/30 (2006.01) | ||
| U.S. Cl. 707—104.1 | 24 Claims |
| 1. A method for automatically visualizing data in a computer system, the method comprising:
in response to receiving user input specifying a change to a predefined rule set, updating a rule in the predefined rule set;
receiving a user selection of the data to be visualized;
comparing metadata of the data against the predefined rule set to determine if the metadata of the data match conditions specified
in a rule in the predefined rule set, wherein each rule of the predefined rule set specifies (a) a set of conditions defined
exclusively by the metadata, and (b) a manner of visualizing data whose metadata satisfy the set of conditions, and wherein
the metadata describe an underlying type or property about the data, and are unrelated to the user selection of the data;
and
if a matching rule is found, automatically visualizing the data according to the manner specified by the matching rule.
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