• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2015, Vol. 37 ›› Issue (11): 2188-2194.

• 论文 • Previous Articles    

Research on entity relation discovery for Oracle Bone
Inscriptions knowledge mapping construction  

XIONG Jing1,ZHONG Luo2,WANG Aimin1, 2   

  1. (1.School of Computer and  Information Engineering,Anyang Normal University,Anyang 455000;2.School of Computer Science and Technology,Wuhan University of Technology,Wuhan 430070,China)
  • Received:2015-07-18 Revised:2015-09-26 Online:2015-11-25 Published:2015-11-25

Abstract:

During the research process of Oracle Bone Inscriptions (OBI ) information processing, there is a prominent contradiction between high dependence on experts and low sharing of their OBI  knowledge.In order to solve this problem, we propose an OBI knowledge mapping scheme, the crucial issue of which is how to find the ontology relations.Firstly,based on the OBI features,the coword analysis of Mapping Knowledge Domains (MKD) is done to find the ontology relations. Secondly, OBI ontology and reasoning are used to find the implicit semantic relations. Finally, the coword relations and ontology relations are fused to describe the OBI knowledge mapping relations.Experimental results show that the method can effectively solve the problem of entity relation discovery in OBI knowledge mapping construction.

Key words: Oracle Bone Inscriptions;knowledge mapping;ontology;semantic similarity;OBIHownet