Knowledge intensive data management system for business process and case management

A computer-implemented method comprising:

• identifying a first partition of data with a fact category, a second partition of data with an information category, a third partition of data with a hypothesis category, and a fourth partition of data with a directive category;
• identifying a first partition of transformative actions with a classification category, a second partition of transformative actions with an assessment category, a third partition of transformative actions with a resolution category, and a fourth partition of transformative actions with an enactment category;
• invoking a first action to produce a second set of data from the information category;
• invoking a second action to produce a third set of data from the hypothesis category;
• invoking a third action to produce a fourth set of data from the directive category;
• invoking a fourth action to produce a fifth set of data from the fact category;
• invoking a classification action on a first set of facts to produce a first set of information;
• invoking an assessment action on the first set of information to produce a first set of hypotheses;
• invoking a resolution action on the first set of hypotheses to produce a first set of directives;
• invoking an enactment action on the first set of directives to modify system behavior and to produce a second set of facts that differs from the first set of facts;
• wherein invoking the classification action comprises applying a set of functions that maps a particular feature vector to an observation, a prediction, a norm, or an objective in the first set of information;
• and wherein the particular feature vector is a vector that includes a feature object.

A system comprising:

• one or more processors;
• and
• a storage medium storing instructions which, when executed by the one or more processors, cause the processors to perform operations comprising:
• identifying a first partition of data with a fact category, a second partition of data with an information category, a third partition of data with a hypothesis category, and a fourth partition of data with a directive category;
• identifying a first partition of transformative actions with a classification category, a second partition of transformative actions with an assessment category, a third partition of transformative actions with a resolution category, and a fourth partition of transformative actions with an enactment category;
• invoking a first action to produce a second set of data from the information category;
• invoking a second action to produce a third set of data from the hypothesis category;
• invoking a third action to produce a fourth set of data from the directive category;
• invoking a fourth action to produce a fifth set of data from the fact category;
• invoking a classification action on a first set of facts to produce a first set of information;
• invoking an assessment action on the first set of information to produce a first set of hypothesis;
• invoking a resolution action on the first set of hypothesis to produce a first set of directives;
• and
• invoking an enactment action on the first set of directives to modify system behavior and to produce a second set of facts that differs from the first set of facts;
• wherein invoking the classification action comprises applying a set of functions that maps a particular feature vector to an observation, a prediction, a norm, or an objective in the first set of information;
• and wherein the particular feature vector is a vector that includes a feature object.