US 2020/0401935 A1 · SELF-LEARNING ONTOLOGY-BASED COGNITIVE ASSIGNMENT ENGINE

Abstract

A cognitive assignment engine (CAE) system attempts to infer semantic meaning from textual content of an incoming message in order to use the inferred meaning to assign the message to an appropriate responder. If the message contains insufficient textual content, the system identifies ontological structures comprised by the message's graphical content and classifies each structure as a function of the structure's location within the graphical content or of an intrinsic characteristic of the structure. The system then generates a message identifier by performing a computation on these classifications and uses the identifier to retrieve a previously stored graphical template that comprises ontological structures similar to those of the incoming message. The system associates the incoming message with a semantic meaning previously associated with the template, enabling the system to classify the message and to assign the message to the correct responder.

Claims20

Dependent claims

A cognitive assignment engine (CAE) system comprising a processor, a memory coupled to the processor, and a computer-readable hardware storage device coupled to the processor, the storage device containing program code configured to be run by the processor via the memory to implement a method for a self-learning ontology-based cognitive assignment engine, the method comprising:

the system intercepting an incoming message that comprises graphical content;
the system identifying characteristics of one or more ontological structures comprised by the graphical content;
associating one or more numeric values with the identified characteristics;
the system computing a hash code of the incoming message by performing a hash function upon a subset of the numeric values;
the system retrieving, as a function of the hash code, a matching template of a set of previously stored templates;
and
the system, as a function of a semantic meaning associated with the matching template, assigning the incoming message to an appropriate responder of a plurality of responders.

4 more elements

A computer program product, comprising a computer-readable hardware storage device having a computer-readable program code stored therein, the program code configured to be executed by a cognitive assignment engine (CAE) system comprising a processor, a memory coupled to the processor, and a computer-readable hardware storage device coupled to the processor, the storage device containing program code configured to be run by the processor via the memory to implement a method for a self-learning ontology-based cognitive assignment engine, the method comprising:

the system intercepting an incoming message that comprises graphical content;
the system identifying characteristics of one or more ontological structures comprised by the graphical content;
associating one or more numeric values with the identified characteristics;
the system computing a hash code of the incoming message by performing a hash function upon a subset of the numeric values;
the system retrieving, as a function of the hash code, a matching template of a set of previously stored templates;
and
the system, as a function of a semantic meaning associated with the matching template, assigning the incoming message to an appropriate responder of a plurality of responders.

4 more elements

Dependencies are inferred from the claim text.

Self-learning ontology-based cognitive assignment engine

Life of this patent

Self-learning ontology-based cognitive assignment engine

Life of this patent

Abstract

Claims20