Fuzzy Ontology-Based Approach to Analyzing the Free-Form Answers
Зарубин Антон Александрович, Albina Koval, Aleksey A. Filippov, Vadim Moshkin · 2018 3rd Russian-Pacific Conference on Computer Technology and Applications (RPC) · 2018
Open-ended questions are questions that allow someone to give a free-form answer. Analysis and evaluation of answers to open-ended questions requires automation. Experts who develop standards of free-form answers use uncertain information. Uncertainty may appear in cases of synonymy, polysemy, insufficiency or redundancy of the object description. Therefore, fuzziness is the most common type of uncertainty in activities related to the evaluation of answers to open-ended questions. This paper describes the methodology for evaluating free-form answers using knowledge discovery methods. Methods of knowledge discovery consider the uncertainty and fuzziness in the answers to open-ended questions.