Abstract
The work is devoted to the description of the question-answer system QA-RiskPanel, which provides means of determining and forecasting the risks related to computer attacks. The QA-RiskPanel system uses a constantly updated database of previous computer attacks as a source of knowledge. We thus guarantee the most up-to-date risk prediction. The ontological approach to the formalization of the object domain allows the analysis of risks at various levels of specification/generalization. In this paper we provide a model-theoretic formalization of the Knowledge Base of the described object domain. Then we describe the classification of question types, which are probabilistic in this system. Finally we present algorithms for finding the answers to all question types of our classification.
Keywords
- Question-answering system
- knowledge base
- theory of the fuzzy models
- generalized fuzzy model
- information security
- computer attacks
- case of the computer attack
MSC
68-T35
Cite this article
@article{cai-3815,
author = {Gulnara Yakhyaeva and Anastosia Karmanova and Aleksei Ershov},
title = {Application of the Fuzzy Model Theory for Modeling QA-Systems},
journal = {Computing and Informatics},
volume = {40},
number = {6},
pages = {1197--1216},
year = {2021},
issn = {1335-9150},
doi = {10.31577/cai_2021_6_1197}
}
TY - JOUR AU - Gulnara Yakhyaeva AU - Anastosia Karmanova AU - Aleksei Ershov TI - Application of the Fuzzy Model Theory for Modeling QA-Systems JO - Computing and Informatics VL - 40 IS - 6 SP - 1197 EP - 1216 PY - 2021 SN - 1335-9150 DO - 10.31577/cai_2021_6_1197 UR - https://doi.org/10.31577/cai_2021_6_1197 KW - Question-answering system KW - knowledge base KW - theory of the fuzzy models KW - generalized fuzzy model KW - information security KW - computer attacks KW - case of the computer attack ER -
Yakhyaeva, G., Karmanova, A., & Ershov, A. (2021). Application of the Fuzzy Model Theory for Modeling QA-Systems. Computing and Informatics, 40(6), 1197–1216. https://doi.org/10.31577/cai_2021_6_1197