To the problem of "The Instrumental complex for ontological engineering purpose" software system design
A. V. Palagin, N. G. Petrenko, V. Yu. Velychko, K. S. Malakhov, Yu. L. Tikhonov
备注：
in Russian; updated "Bibliography" section for correct identification of references by the Google Scholar parser software; updated figures; 10 pages; 8 figures
发表信息：
Problems in programming, 2012, (2-3), pp.289-298. PROBLEMS IN PROGRAMMING SCIENTIFIC JOURNAL , (2-3), pp.289-298
The given work describes methodological principles of design instrumental complex of ontological purpose. Instrumental complex intends for the implementation of the integrated information technologies automated build of domain ontologies. Results focus on enhancing the effectiveness of the automatic analysis and understanding of natural-language texts, building of knowledge description of subject areas (primarily in the area of science and technology) and for interdisciplinary research in conjunction with the solution of complex problems.
Knowledge Graph Re-engineering Along the Ontological Continuum (extended version)
The Open University, Walton Hall, Milton Keynes, United Kingdom（开放大学）；School of Computer Science and Informatics, University of Liverpool, UK（利兹大学计算机科学与信息学学院）
Development of formal models, algorithms, procedures, engineering and functioning of the software system "Instrumental complex for ontological engineering purpose"
给出了一个软件系统“Instrumental Complex for Ontological Engineering Purpose”的广义模型表示。代表了完整的软件系统开发过程。建立了“本体工程仪器综合体”软件系统的形式化模型，包括数学表达式、UML图等，并描述了“本体工程仪器综合体”软件系统在客户机-服务器环境下的三层体系结构。
Commonsense Knowledge, Ontology and Ordinary Language
American Institutes for Research（美国研究院）；University of Windsor（温莎大学）；American University of Beirut（贝鲁特美国大学）；AT&T Bell Labs（AT&T贝尔实验室）；MetLife（大都会人寿）；Cognos, Inc.（科格斯公司）
Accelerating Manufacturing Scale-Up from Material Discovery Using Agentic Web Navigation and Retrieval-Augmented AI for Process Engineering Schematics Design
Intelligent Design 4.0: Paradigm Evolution Toward the Agentic AI Era
Department of Systems Engineering（系统工程系）；City University of Hong Kong（香港城市大学）；Department of Decision Analytics and Operations（决策分析与运营系）；Department of Information Systems（信息系统系）
A Comparison of Prompt Engineering Techniques for Task Planning and Execution in Service Robotics
University of Bonn（波恩大学）；Lamarr Institute for Machine Learning and Artificial Intelligence（拉马尔机器学习与人工智能研究所）；Center for Robotics（机器人中心）；Computer Science Institute VI（计算机科学第六研究所）；Autonomous Intelligent Systems group（自主智能系统组）
