Temporal Knowledge Acquisition from Multiple Experters

The paper deals with the research in the area of knowledge acquisition from multiple experts when knowledge includes temporal component. The expert’s ranking refinement technique is presented which is based on of the most supported opinion among all the experts. Paper answers to the following questions: how to derive the most supported knowledge from the multiple experts about the unknown temporal relation between the two events; how to make quality evaluation of the most supported opinion; how to make syntactical analysis of the most supported opinion to make necessary corrections; how to make, evaluate, use and refine ranking of all the experts to improve the results.