Abstract: Providing knowledge representation of material content being consumed by a user combines the user's current behavioral data and data from external sources such as internet web sites and social media network. Visual representations of entities and their relationships in the content being consumed by the user are created while the user is consuming content, and displayed via a graphical user interface.

Abstract: Content of the material the user is consuming is identified. Physiological pattern generated by the user while consuming the content is captured via at a sensor device. Responsive to detecting that the physiological pattern represents an outlier, a term in the content is determined for which additional information is to be provided. The term may be determined from the content based on user knowledge, frequency of the term appearing in previous content consumed by the user and popularity of the term. A search query is executed with the determined term. Result of the search query may be filtered based on the user's knowledge. The filtered result and at least one of the previous content containing the term the user has previously consumed is presented.

Abstract: A job executing on a computer system according to a scheduler configuration may be monitored. Responsive to determining that the job completed executing, a difference between an allocated resource allocated to the job and the job's actual resource usage may be computed. Responsive to determining that the difference meets a criterion, the scheduler configuration may be reconfigured to reduce the allocated resource for a submitted job associated with a given user.

Abstract: A job in a high performance computing system is executed according to a current scheduler configuration. The job is monitored to determine the job's actual resource usage, the job's performance metric and the job's completion. Responsive to determining that the job completed executing, a difference is computed between allocated resources allocated according to the current scheduler configuration at job submission for execution on the high performance computing system and the job's actual resource usage at the job's completion, wherein the difference is computed for each of N number of jobs that complete executing on the high performance computing system, wherein all of the N number of jobs are associated with a given user. Responsive to determining that the difference for said each of N number of jobs meets a criterion, the current scheduler configuration is automatically reconfigured to reduce the allocated resources for the jobs associated with the given user.

Abstract: A job in a high performance computing system is executed according to a current scheduler configuration. The job is monitored to determine the job's actual resource usage, the job's performance metric and the job's completion. Responsive to determining that the job completed executing, a difference is computed between allocated resources allocated according to the current scheduler configuration at job submission for execution on the high performance computing system and the job's actual resource usage at the job's completion, wherein the difference is computed for each of N number of jobs that complete executing on the high performance computing system, wherein all of the N number of jobs are associated with a given user. Responsive to determining that the difference for said each of N number of jobs meets a criterion, the current scheduler configuration is automatically reconfigured to reduce the allocated resources for the jobs associated with the given user.

Abstract: A job in a high performance computing system is executed according to a current scheduler configuration. The job is monitored to determine the job's actual resource usage, the job's performance metric and the job's completion. Responsive to determining that the job completed executing, a difference is computed between allocated resources allocated according to the current scheduler configuration at job submission for execution on the high performance computing system and the job's actual resource usage at the job's completion, wherein the difference is computed for each of N number of jobs that complete executing on the high performance computing system, wherein all of the N number of jobs are associated with a given user. Responsive to determining that the difference for said each of N number of jobs meets a criterion, the current scheduler configuration is automatically reconfigured to reduce the allocated resources for the jobs associated with the given user.

Abstract: Providing knowledge representation of material content being consumed by a user combines the user's current behavioral data and data from external sources such as internet web sites and social media network. Visual representations of entities and their relationships in the content being consumed by the user are created while the user is consuming content, and displayed via a graphical user interface.

Abstract: An automated feedback may be provided while data is entered in an electronic form. Input entered into an input field of a form fillable window provided on a user interface display screen may be detected. A quality measure associated with the input as entered into the form fillable window may be determined. The quality measure is determined based on a quality needed for an analytics process of an application for which the input is being entered. A graphical indication representing the quality measure on the user interface display screen may be presented.

Abstract: A user interaction with a computer device is monitored, the user interaction comprising at least user consuming material via the computer device. Content of the material the user is consuming is identified. Physiological pattern generated by the user while consuming the content is captured via at a sensor device. Responsive to detecting that the physiological pattern represents an outlier, a term in the content is determined for which additional information is to be provided. The term may be determined from the content based on user knowledge, frequency of the term appearing in previous content consumed by the user and popularity of the term. A search query is executed with the determined term. Result of the search query may be filtered based on the user's knowledge. The filtered result and at least one of the previous content containing the term the user has previously consumed is presented.

Abstract: An automated feedback may be provided while data is entered in an electronic form. Input entered into an input field of a form fillable window provided on a user interface display screen may be detected. A quality measure associated with the input as entered into the form fillable window may be determined. The quality measure is determined based on a quality needed for an analytics process of an application for which the input is being entered. A graphical indication representing the quality measure on the user interface display screen may be presented.

Abstract: A computer implemented method for selective dissemination of social media content is provided. The computer implemented method receives social media content associated with a first user at a social networking site and classifies the social media content associated with the first user into at least one social network community. The computer implemented method inhibits access to the social media content associated with the first user by at least one of a second user and another user not within the at least one social network community and outputs for display a first notification to the user.

Abstract: A method, a computer program product, and a computer system for transmitting a hierarchical data file from a first computer device to a second computer device. The first computer device receives a request for transmitting a first hierarchical data file. The first computer device modifies the first hierarchical data file based on a rule based filter. The first computer device receives from the second computer device a list of unique variables whose contents differ from contents in an existing file on the second computer device. The first computer device sends to the second computer device the contents of the unique variables. The contents of the unique variables are saved on the second computer device in a second hierarchical data file. The second hierarchical data file comprises pointers linking to contents of variables that are not the unique variables in the existing file.