Intelligent causal knowledge extraction from data sources
AssigneeInternational Business Machines Corporation
InventorsOktie HASSANZADEH, Michael PERRONE, Shirin SOHRABI ARAGHI, Mark FEBLOWITZ, Debarun BHATTACHARJYA, Michael KATZ, Kavitha SRINIVAS
Life of this patent
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Abstract
Embodiments are provided for intelligent causal knowledge analysis from data sources in a computing system by a processor. Multiple communications may be identified from one or more data sources. One or more causal statements having a cause-effect relationship may be extracted from the plurality of communications.
Claims20
A method for intelligent causal knowledge analysis from a data source in a computing system by a processor, comprising:
- identifying a plurality of communications from one or more data sources;
- and
- extracting one or more causal statements having a cause-effect relationship from the plurality of communications.
A system for intelligent causal knowledge analysis from a data source in a computing system, comprising:
- one or more computers with executable instructions that when executed cause the system to:
- identify a plurality of communications from one or more data sources;
- and
- extract one or more causal statements having a cause-effect relationship from the plurality of communications.
A computer program product for intelligent causal knowledge analysis from a data source by a processor, the computer program product comprising a non-transitory computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions comprising:
- an executable portion that identifies a plurality of communications from one or more data sources;
- and
- an executable portion that extracts one or more causal statements having a cause-effect relationship from the plurality of communications.
Dependencies are inferred from the claim text.