KnowTD--热力学可操作知识表示系统

Luisa Vollmer, Sophie Fellenz, Fabian Jirasek, Heike Leitte, Hans Hasse
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引用次数: 0

摘要

我们证明,人类获得的热力学知识可以转移到计算机上,这样机器就可以利用这些知识来解决热力学问题,并在保证正确性的前提下产生可解释的解决方案。我们为此创建的可操作知识表示系统被称为 KnowTD。它以热力学本体为基础,代表了热力学理论、材料特性和热力学问题等方面的知识。本体与推理器相结合,推理器根据用户输入设置要解决的问题,从本体中提取正确的相关方程,解决由此产生的数学问题,并将解决方案返回给用户,同时解释如何获得该解决方案。KnowTD 目前仅限于简单的热力学问题,与工程热力学入门课程中讨论的问题类似。KnowTD 采用模块化设计,易于扩展。
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KnowTD-An Actionable Knowledge Representation System for Thermodynamics
We demonstrate that thermodynamic knowledge acquired by humans can be transferred to computers so that the machine can use it to solve thermodynamic problems and produce explainable solutions with a guarantee of correctness. The actionable knowledge representation system that we have created for this purpose is called KnowTD. It is based on an ontology of thermodynamics that represents knowledge of thermodynamic theory, material properties, and thermodynamic problems. The ontology is coupled with a reasoner that sets up the problem to be solved based on user input, extracts the correct, pertinent equations from the ontology, solves the resulting mathematical problem, and returns the solution to the user, together with an explanation of how it was obtained. KnowTD is presently limited to simple thermodynamic problems, similar to those discussed in an introductory course in Engineering Thermodynamics. This covers the basic theory and working principles of thermodynamics. KnowTD is designed in a modular way and is easily extendable.
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