Abstract:
Technologies are generally described for methods and systems effective to store a source ontology that is effective to represent first explicit data and second explicit data. In an example, a processor may evaluate the source ontology to identify the first explicit data and the second explicit data. The processor may also identify a relationship between the first and second explicit data. The processor may also partition the source ontology into first decomposed data and second decomposed data based on the relationship between the first and second explicit data. The first decomposed data may include the first explicit data, and the second decomposed data may include the second explicit data. The processor may also store the first decomposed data in a first concealment module. The processor may also store the second decomposed data in a second concealment module that may be different from the first concealment module.
Abstract:
Technologies are generally described for methods and systems effective to generate a composite image. The methods may include receiving first image data that includes object data corresponding to an object and receiving second image data that includes obscuring data. The obscuring data, if displayed on a display, may obscure at least a portion of the. The methods may also include identifying a first region that may include the object data, in the first image data. The methods may also include identifying a second region, that may include the obscuring data, in the second image data. The methods may also include replacing at least part of the second region with at least part of the first region to generate the composite image data that may include at least some of the object data. The methods may also include displaying the composite image on a display.
Abstract:
To automatically sort multiple contacts of a user, in some examples, a system may be configured to monitor physiological signals, which reflect the emotional responses, of the user during communications between the user and his/her contacts and, further, to classify the contacts into multiple contact groups that may be sorted by the emotional responses of the user.
Abstract:
Technologies are generally described for enhancing semantic data to be used by a reasoning task. In some examples, a method and a system for removing inconsistent data from, and adding enhancement data to, a coarse data set are described. The method may include receiving, by a data enhancement module, a first set of semantic data associated with the reasoning task. The method may include generating, by the data enhancement module, a second set of semantic data by removing inconsistent data from the first set of semantic data, wherein the inconsistent data is identified from the first set of semantic data by a justification determination process. The method may further include generating, by the data enhancement module, a third set of semantic data by adding enhancement data to the second set of semantic data, wherein the enhancement data is obtained based on the second set of semantic data by an abduction determination process.