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US 12,117,891 B2Granted
Deducing a root cause analysis model from augmented reality peer assistance sessions
AssigneeInternational Business Machines Corporation
InventorsAdi Raz Goldfarb, Oded Dubovsky, Erez Lev Meir Bilgory
Life of this patent
Estimating the term…
Abstract
In an approach for deducing a root cause analysis model, a processor trains a classifier based on labeled data to identify entities. A processor trains the classifier with first taxonomy and ontology. A processor uses the classifier to classify each component from one or more augmented reality peer assistance sessions into a class. A processor generates a root cause analysis model based on the identified entities and the classified components.
Claims20
A computer-implemented method comprising:
- correlating information exchanged between two or more parties during a remote assistance session to one or more data labels;
- labeling the correlated information with corresponding data labels to create labeled data components;
- training a classifier based on the labeled data components to identify entities, wherein the step of training further comprises:
- extracting the labeled data components ordered by time from the correlated information;
- augmenting the trained classifier with a taxonomy and a pre-defined domain ontology;
- using the augmented classifier to classify each labeled data component into a class selected from the classes:
- (a) symptom;
- (b) root cause;
- (c) instruction;
- and (d) miscellaneous;
- and
- generating a root cause analysis (RCA) model based on the identified entities and the classified labeled data components.
9 more elements
A computer program product comprising:
- one or more computer readable storage media, and program instructions collectively stored on the one or more computer readable storage media, the program instructions comprising:
- program instructions to correlate information exchanged between two or more parties during a remote assistance session to one or more data labels;
- program instructions to label the correlated information with corresponding data labels to create labeled data components;
- program instructions to train a classifier based on the labeled data components to identify entities, wherein the step of training further comprises:
- program instructions to extract the labeled data components ordered by time from the correlated information;
- program instructions to augment the trained classifier with a taxonomy and a pre-defined domain ontology;
- program instructions to use the augmented classifier to classify each labeled data component into a class selected from the classes:
- (a) symptom;
- (b) root cause;
- (c) instruction;
- and (d) miscellaneous;
- and
- program instructions to generate a root cause analysis (RCA) model based on the identified entities and the classified labeled data components.
10 more elements
A computer system comprising:
- one or more computer processors, one or more computer readable storage media, and program instructions stored on the one or more computer readable storage media for execution by at least one of the one or more computer processors, the program instructions comprising:
- program instructions to correlate information exchanged between two or more parties during a remote assistance session to one or more data labels;
- program instructions to label the correlated information with corresponding data labels to create labeled data components;
- program instructions to train a classifier based on the labeled data components to identify entities, wherein the step of training further comprises:
- program instructions to extract the labeled data components ordered by time from the correlated information;
- program instructions to augment the trained classifier with a taxonomy and a pre-defined domain ontology;
- program instructions to use the augmented classifier to classify each labeled data component into a class selected from the classes:
- (a) symptom;
- (b) root cause;
- (c) instruction;
- and (d) miscellaneous;
- and
- program instructions to generate a root cause analysis (RCA) model based on the identified entities and the classified labeled data components.
10 more elements
Dependencies are inferred from the claim text.