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A Conjoint Analysis Method to Knowledge Graph Rankings

Brett Jefferson
Pacific Northwest National Laboratory ~ National Security Directorate

Subject matter expert (SME) knowledge is often an integral component in multidisciplinary analyst teams. SMEs can provide proper context, meaning, and additional insight on data received from the real world. We use conjoint analysis to elicit SME expertise from various scenarios. Conjoint analysis provides a means to rank knowledge graph elements and determine node-level, edge-level, and subgraph (event) level weights. I will discuss findings for this novel application to graph data and potential use cases for such rankings.


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Cite this as:

Jefferson, B. (2020, November). A Conjoint Analysis Method to Knowledge Graph Rankings. Paper presented at MathPsych at Virtual Psychonomics 2020. Via