International Business Machines Corporation

Eun Ha

Mary Swift

Nisarga Markandaiah

James William Murdock, Iv

Christopher Munjal Nolan

Sai Prathyusha Peddi

Lin Pan

Chung-Wei Hang

Naga Katreddi

Vishesh Raimugia

Kazi Hasan

Embodiments for responding to computing system incidents are provided. Information associated with a computing system is analyzed to generate a base system model of the computing system. The information includes at least one of system logs and metrics data of the computing system. An indication of an incident associated with the computing system is received. The base system model is utilized to analyze the incident. The analysis of the incident includes characterizing the incident as a previously detected incident or an unknown incident. A strategy for responding to the incident is identified based on the analysis of the incident.

Cognitive methods and systems for responding to computing system incidents

Systems and methods for generating answers to questions. One method includes receiving a question having question terms; identifying candidate answers to the question having answer terms; searching data sources to determine passages including either a question term or an answer term in the candidate answer; scoring the passages for candidate answers using a scoring mechanism, the scoring mechanism computing a first degree of relevance of the passage to the question terms, computing a second degree of relevance of the passage to the answer terms of one of the candidate answers, and determining a score for the passage by combining the first degree of relevance and the second degree of relevance; ranking candidate answers to the question based on the scores associated with the scoring each of the passages for each of the candidate answers; and providing an answer to the question based on ranking of the candidate answers.

Supporting evidence retrieval for complex answers

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Acton, MA, United States of America

Eun Ha