基于语义嵌入知识图谱的演绎推理和类比推理
Deductive and Analogical Reasoning on a Semantically Embedded Knowledge Graph
U.S. Army Research Laboratory（美国陆军研究实验室）
摘要：
将知识表示为连续语义向量空间中的高维向量，可以克服传统知识库的脆弱性和不完备性。我们提出了一种直接在这样的向量空间中进行演绎推理的方法，在推理链的每一步都以简单的方式结合类比、联想和演绎，利用来自不同来源和本体的知识。
英文摘要：
Representing knowledge as high-dimensional vectors in a continuous semantic vector space can help overcome the brittleness and incompleteness of traditional knowledge bases. We present a method for performing deductive reasoning directly in such a vector space, combining analogy, association, and deduction in a straightforward way at each step in a chain of reasoning, drawing on knowledge from diverse sources and ontologies.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
