中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
热门
XLORE2: Large-Scale Cross-Lingual Knowledge Graph Construction and Application

文献类型:期刊论文

作者Hailong Jin; Chengjiang Li; Jing Zhang; Lei Hou; Juanzi Li; Peng Zhang
刊名Data Intelligence
出版日期2019-03-25
卷号1期号:1页码:77-98
关键词Knowledge Base Completion Knowledge Linking Property Matching Taxonomy Alignment Type Inference Entity Linking
DOI10.1162/dint_a_00003
英文摘要

Knowledge bases (KBs) are often greatly incomplete, necessitating a demand for KB completion. Although XLORE is an English-Chinese bilingual knowledge graph, there are only 423,974 cross-lingual links between English instances and Chinese instances. We present XLORE2, an extension of the XLORE that is built automatically from Wikipedia, Baidu Baike and Hudong Baike. We add more facts by making cross-lingual knowledge linking, cross-lingual property matching and fine-grained type inference. We also design an entity linking system to demonstrate the effectiveness and broad coverage of XLORE2.
 

URL标识查看原文
语种英语
源URL[http://ir.las.ac.cn/handle/12502/11460]  
专题中国科学院文献情报中心(北京)_编辑出版中心_《数据智能》(英文)
通讯作者Lei Hou
作者单位Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China
推荐引用方式
GB/T 7714
Hailong Jin,Chengjiang Li,Jing Zhang,et al. XLORE2: Large-Scale Cross-Lingual Knowledge Graph Construction and Application[J]. Data Intelligence,2019,1(1):77-98.
APA Hailong Jin,Chengjiang Li,Jing Zhang,Lei Hou,Juanzi Li,&Peng Zhang.(2019).XLORE2: Large-Scale Cross-Lingual Knowledge Graph Construction and Application.Data Intelligence,1(1),77-98.
MLA Hailong Jin,et al."XLORE2: Large-Scale Cross-Lingual Knowledge Graph Construction and Application".Data Intelligence 1.1(2019):77-98.

入库方式: OAI收割

来源:文献情报中心

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。