Disambiguating data using contextual and historical information
AssigneeBusiness Objects Software Ltd.
InventorsJohnPaul Burbank, Jennifer Sam, Michael Tsumura, George Sun, Yuru Wang
Life of this patent
Estimating the term…
Abstract
Techniques for disambiguating data using contextual and historical information include determining that data is potentially associated with two or more classifications of a plurality of classifications; obtaining contextual information associated with the data; obtaining historical information associated with a user of the computing system; and determining that the data is more likely associated with one classification of the two or more classifications than other classifications of the two or more classifications based on the contextual information and the historical information.
Claims21
A method performed with a computing system for disambiguating data, the method comprising:
- determining that data is potentially associated with two or more classifications of a plurality of classifications;
- obtaining contextual information associated with the data;
- obtaining historical information associated with a user of the computing system;
- and
- determining that the data is more likely associated with one classification of the two or more classifications than other classifications of the two or more classifications based on the contextual information and the historical information.
A computer readable storage medium encoded with a computer program, the program comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising:
- determining that data is potentially associated with two or more classifications of a plurality of classifications;
- obtaining contextual information associated with the data;
- obtaining historical information associated with a user of the computing system;
- and
- determining that the data is more likely associated with one classification of the two or more classifications than other classifications of the two or more classifications based on the contextual information and the historical information.
A system of one or more computers configured to perform operations comprising:
- determining that data is potentially associated with two or more classifications of a plurality of classifications;
- obtaining contextual information associated with the data;
- obtaining historical information associated with a user of the computing system;
- and
- determining that the data is more likely associated with one classification of the two or more classifications than other classifications of the two or more classifications based on the contextual information and the historical information.
Dependencies are inferred from the claim text.