Automatic Ontology Construction Based on Clustering Nucleus  

作　　者：ZHAO Ling REN Han WAN Jing 

机构地区：[1]School of Foreign Languages and Literature, Wuhan University [2]Hubei Research Establishment of Language and Intelligent Information Processing, Wuhan University

出　　处：《Wuhan University Journal of Natural Sciences》2015年第2期129-133,共5页武汉大学学报（自然科学英文版）

基　　金：Supported by the National Natural Science Foundation of China(61402341,61173095,61173062);the Major Projects of National Social Science Foundation of China(11&ZD189);the China Postdoctoral Science Foundation Funded Project(2014M552073)

摘　　要：Ontology construction is the core task of ontology-based knowledge representation. This paper explores a semantic description approach based on primitive structure, which benefits ontological relation description in a more precise and concrete way. In view of primitive structure, this paper introduces an approach to extract primitive structures of words based on a multi-label learning model, correlated label propagation. Also, this paper proposes an approach to recognize clustering nucleuses in word clusters heuristically. By this approach, more precise ontological relations are able to be discovered automatically.Ontology construction is the core task of ontology-based knowledge representation. This paper explores a semantic description approach based on primitive structure, which benefits ontological relation description in a more precise and concrete way. In view of primitive structure, this paper introduces an approach to extract primitive structures of words based on a multi-label learning model, correlated label propagation. Also, this paper proposes an approach to recognize clustering nucleuses in word clusters heuristically. By this approach, more precise ontological relations are able to be discovered automatically.

关 键 词：clustering nucleus ontology construction primitive structure multi-label learning 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]