关键词: 复杂结构, 归纳学习, 基于图的概念学习, 归纳逻辑程序设计, 高阶逻辑

Abstract: The need of inductive learning of complex structure grows rapidly recently.The approaches adopted by inductive learning of complex structure can be classified into logic-based ones and graph-based ones according to knowledge representation.This paper firstly provides a survey of background and context from which inductive learning from complex structured data arises.Secondly，different learning approaches based on different knowledge representation are introduced，analyzed and compared.Finally，several challenging researching problems are identified.

Key words: complex structure, inductive learning, graph-based concept learning, inductive logic programming, higher-order logic