Data reconstruction
AssigneeHewlett-Packard Development Company, L.P.
InventorsVladimir Dubsky, Miroslav Malecha, Pavel Zavora
Life of this patent
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Abstract
In one implementation, a system for data reconstruction includes a data model engine to generate a data model and receive a plurality of different data types to include within the data model. In addition, the system includes a shortcut engine to define shortcut types. In addition, the system includes a categorization engine to identify a shortcut within the data model and categorize the identified shortcut into the defined shortcut types. In addition, the system includes an intermediary engine to determine unknown intermediaries of the identified shortcut based on the received plurality of different data types.
Claims15
A system for data reconstruction, comprising:
- a data model engine to generate a data model and receive a plurality of different data types to include within the data model;
- a shortcut engine to define shortcut types;
- a categorization engine to identify a shortcut within the data model and categorize the identified shortcut into the defined shortcut types;
- and
- an intermediary engine to determine unknown intermediaries of the identified shortcut based on the received plurality of different data types.
A non-transitory computer readable medium storing instructions executable by a processing resource to cause a controller to:
- replace a canonical model with a data model that includes a plurality of different data types;
- identify data that is non-canonical model data types from the plurality of different data types;
- identify a shortcut within the data model and categorize the identified shortcut into defined shortcut types;
- and
- determine unknown intermediaries of the identified shortcut based on the non-canonical model data.
A method for data reconstruction, comprising:
- replacing a canonical model with a data model that includes a plurality of canonical model data types and a plurality of non-canonical model data types;
- assigning an identification mark to the plurality of non-canonical model data types;
- identifying a shortcut within the data model;
- categorizing the identified shortcut into a defined shortcut type;
- and
- determining unknown intermediaries of the identified shortcut based on the non-canonical model data.
Dependencies are inferred from the claim text.