A Kindred Automatic Reasoning Model Based on Large-Scale Chinese Kinship Knowledge Base

我们采用"大知识库-小运算"的技术路线,提出一个汉语亲属关系的自动推理模型.首先,在充分研究汉语亲属关系的词汇-语法表达的基础上,给汉语常见的亲属关系及其情景语义建立认知模型.然后,据此构造大型的汉语亲属关系知识库,包括外围知识库和核心知识库两种.前者详尽列举亲属名词和称呼动词所涉及的各种句式,并给出相应的语义表达式;后者包括三个子库:性质库(刻画亲属关系中的性别、长幼等属性)、逆判断库(刻画"父-子"等反对称关系对子)和传递库(刻画通过中介人把称呼人与被称呼人联系起来的各种路径,共计3 600余条).在此基础上,形成了一个汉语亲属关系自动推理模型,可以在已知ABC三边关系的任意两边时快速地推导出来知的另一边关系.We propose a kindred automatic reasoning model by taking the approach of "large knowledge base and small calculation". Firstly we construct a cognitive model for Chinese kinship system and its semantic situation on the bassis of the lexical-grammatical expressions of Chinese kinship system, and build the large knowledge base of Chinese kinshipaccordingly. The knowledge base is consisted of two libraries: the peripheral one which stores various constructions of kinship and their semantic translation, and the kernel one storing special properties of kinship terms, reversal expression of kinship description and all potential transfer paths among the addresser, addressee and bridge person. Then we give a simple computational procedure scheme, which can easily infer different kinship relation based on given kinship facts.国家社会科学基金; 国家高技术研究发展计划863计划资助项目; 国家自然科学基金中文核心期刊要目总览(PKU)中国科技核心期刊(ISTIC)中国科学引文数据库(CSCD)03117-1232