The study is dedicated to analyzing the key role of decision support systems (DSS) in modern science and industry, emphasizing their ability to automate complex processes, reduce the risks of erroneous decisions, and efficiently handle large volumes of data. The work explores the advantages of document-oriented databases (DODBs) over traditional relational databases for managing diverse datasets in materials science and aerospace engineering. The application of Elasticsearch (ES), a distributed search and analytics engine, is investigated for optimizing material selection and (...) design processes in the aerospace industry. Attention is also given to the ethical aspects of using software for making critically important decisions and the synergy between advancements in computational technologies and materials science. The integration of DSS, DODBs, and ES demonstrates the potential to enhance the accuracy, efficiency, and reliability of data-driven decision-making. (shrink)

Semantic similarity measures have shown promise in enhancing natural language understanding by quantifying the likeness between textual elements. This paper investigates the application of semantic similarity measures to improve chatbot response relevance. By leveraging word embeddings and similarity metrics, this study aims to bridge the gap between simple keyword-based responses and contextually rich, relevant answers. The proposed approach integrates both traditional lexical measures and advanced vector-based embeddings to enhance user intent interpretation and ensure a more suitable response generation. By refining (...) the candidate response set with these techniques, the chatbot is able to generate highly relevant and contextually accurate replies. The results demonstrate that combining deep learning-based embeddings with traditional semantic metrics can significantly enhance response relevance, leading to more meaningful and human-like user interactions. Additionally, a feedback loop is incorporated to continuously learn from user interactions, further improving the quality of responses over time. (shrink)