17822698. CONFIGURING OPTIMIZATION PROBLEMS simplified abstract (International Business Machines Corporation)
Contents
CONFIGURING OPTIMIZATION PROBLEMS
Organization Name
International Business Machines Corporation
Inventor(s)
Michael Barry of Limerick City (TF)
Joern Ploennigs of Dublin (IE)
Claudio Gambella of Phibsborough (IE)
CONFIGURING OPTIMIZATION PROBLEMS - A simplified explanation of the abstract
This abstract first appeared for US patent application 17822698 titled 'CONFIGURING OPTIMIZATION PROBLEMS
Simplified Explanation
The abstract describes a method for configuring optimization problems in a computing environment using a knowledge graph generated from a knowledge domain and data sources. Graph patterns are applied to match entities in the knowledge graph with optimization templates, and the configured optimization problem is executed with data.
- Method for configuring optimization problems in a computing environment
- Generation of a knowledge graph from a knowledge domain and data sources
- Application of graph patterns to match entities with optimization templates
- Execution of configured optimization problem with data
Potential Applications
- Data analysis and optimization in various industries
- Machine learning and artificial intelligence applications
- Resource allocation and scheduling in logistics and transportation
Problems Solved
- Efficiently configuring optimization problems in a computing environment
- Matching entities in a knowledge graph with optimization templates
- Executing optimization problems with a plurality of data sources
Benefits
- Improved efficiency in solving optimization problems
- Enhanced data analysis capabilities
- Streamlined resource allocation and scheduling processes
Original Abstract Submitted
Various embodiments are provided for configuring optimization problems from one or more sources in a computing environment by a processor. A knowledge graph may be generated from a knowledge domain and one or more data sources. One or more graph pattens may be applied to match one or more entities in the knowledge graph with one or more atomic optimization templates. An optimization problem configured from the one or more atomic optimization templates and a plurality of data may be executed.
