A Hybrid Framework for Semantic Relation Extraction over Enterprise Data

doi:10.4018/IJSWIS.2015070101

	A Hybrid Framework for Semantic Relation Extraction over Enterprise Data
	Shen, Wei 1; Wang, Jianyong 2,3; Luo, Ping 4; Wang, Min 5
	2015-07-01
发表期刊	INTERNATIONAL JOURNAL ON SEMANTIC WEB AND INFORMATION SYSTEMS
ISSN	1552-6283
卷号	11 期号:3 页码:1-24
摘要	Relation extraction from the Web data has attracted a lot of attention in recent years. However, little work has been done when it comes to relation extraction from the enterprise data regardless of the urgent needs to such work in real applications (e.g., E-discovery). One distinct characteristic of the enterprise data (in comparison with the Web data) is its low redundancy. Previous work on relation extraction from the Web data largely relies on the data's high redundancy level and thus cannot be applied to the enterprise data effectively. This paper proposes an unsupervised hybrid framework called REACTOR. REACTOR combines a statistical method, classification, and clustering to identify various types of relations among entities appearing in the enterprise data automatically. Furthermore, the authors explore to apply pronominal anaphora resolution to extract more relations expressed across multiple sentences. They evaluate REACTOR over a real-world enterprise data set from HP that contains over three million pages and the experimental results show the effectiveness of REACTOR.
关键词	Anaphora Resolution Enterprise Data Information Extraction Relation Extraction Relation Tagging
DOI	10.4018/IJSWIS.2015070101
收录类别	SCI
语种	英语
资助项目	National Basic Research Program of China (973 Program)[2014CB340505] ; National Natural Science Foundation of China[61532010] ; National Natural Science Foundation of China[61272088] ; National Natural Science Foundation of China[61502253] ; National Natural Science Foundation of China[61473274] ; Tsinghua University Initiative Scientific Research Program ; National High-tech R&D Program of China (863 Program)[2014AA015105]
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Information Systems
WOS记录号	WOS:000370264200001
出版者	IGI PUBL
引用统计	被引频次：5[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/8765
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Shen, Wei
作者单位	1.Nankai Univ, CCCE & CS, Tianjin 300071, Peoples R China 2.Tsinghua Univ, Dept Comp Sci & Technol, Beijing 100084, Peoples R China 3.Jiangsu Normal Univ, Jiangsu Collaborat Innovat Ctr Language Abil, Xuzhou, Peoples R China 4.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China 5.Visa Inc, Foster City, CA USA
推荐引用方式 GB/T 7714	Shen, Wei,Wang, Jianyong,Luo, Ping,et al. A Hybrid Framework for Semantic Relation Extraction over Enterprise Data[J]. INTERNATIONAL JOURNAL ON SEMANTIC WEB AND INFORMATION SYSTEMS,2015,11(3):1-24.
APA	Shen, Wei,Wang, Jianyong,Luo, Ping,&Wang, Min.(2015).A Hybrid Framework for Semantic Relation Extraction over Enterprise Data.INTERNATIONAL JOURNAL ON SEMANTIC WEB AND INFORMATION SYSTEMS,11(3),1-24.
MLA	Shen, Wei,et al."A Hybrid Framework for Semantic Relation Extraction over Enterprise Data".INTERNATIONAL JOURNAL ON SEMANTIC WEB AND INFORMATION SYSTEMS 11.3(2015):1-24.