基于词共现图的属性知识库迭代自增式扩展算法

doi:10.16451/j.cnki.issn1003-6059.201812010

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Abstract Existing open information extraction methods in the attribute knowledge base extension heavily rely on deep syntax analysis or effective dictionary rules, thus the poor results in short text processing and low recall rates are produced. Therefore, an iterative bootstrapping attribute knowledge base extension algorithm based on word co-occurrence graph is proposed. The co-occurrence relationship between attribute and attribute values is employed to extend the knowledge base and a graph-based community discovery algorithm is designed to find out core nodes of the community. Finally, a model based on convolutional neural network is constructed to denoise the extraction results. Experiments on two real datasets show that the proposed method outperforms the existing ones.

Key words： Open Information Extraction Attribute Knowledge Base Word Co-occurrence Graph

Received: 15 October 2018

ZTFLH:

TP 182

Fund:Supported by National Natural Science Foundation of China(No.61632016,61402313,61472263), Natural Science Foundation of the Higher Education Institutions of Jiangsu Province(No.17K
JA520003)

About author:: (LI Zhixu(Corresponding author), Ph.D., associate professor. His research interests include data intelligence and cognitive intelligence.)
(SHEN Yongxin, master student. His research interests include information extraction.)
(CHEN Jia, master student. Her research interests include knowledge graph and information extraction.)
(LIU An, Ph.D., associate professor. His research interests include security, privacy and trust in emerging applications.)
(ZHAO Pengpeng, Ph.D., associate professor. His research interests include data mining, mobile intelligence, recommender system and big data analytics.)
(ZHAO Lei, Ph.D., professor. His research interests include graph database, social media analysis, query outsourcing and parallel and distributed computing.)

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	LI Zhixu
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Cite this article:

LI Zhixu,SHEN Yongxin,CHEN Jia等. Iterative Bootstrapping Attribute Knowledge Base Extension Algorithm Based on Word Co-occurrence Graph[J]. , 2018, 31(12): 1143-1150.

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http://manu46.magtech.com.cn/Jweb_prai/EN/10.16451/j.cnki.issn1003-6059.201812010 OR http://manu46.magtech.com.cn/Jweb_prai/EN/Y2018/V31/I12/1143

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