Knowledge extraction from Chinese wiki encyclopedias

Zhi-chun WANG; Zhi-gang WANG; Juan-zi LI; Jeff Z. PAN

doi:10.1631/jzus.C1101008

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Knowledge extraction from Chinese wiki encyclopedias

用于更智能网络的语义技术专辑 | Updated：2022-12-09

- Knowledge extraction from Chinese wiki encyclopedias
- Knowledge extraction from Chinese wiki encyclopedias
- 信息与电子工程前沿（英文） 2012年13卷第4期页码：268-280
- Affiliations：
  
  1.Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China
  2.Department of Computer Science, University of Aberdeen, Aberdeen AB24 3UE, UK
- Author bio：
  
  [ "Zhi-chun WANG, E-mail: zcwang@keg.cs.tsinghua.edu.cn" ]
  [ "Zhi-gang WANG, E-mail: wzhigang@keg.cs.tsinghua.edu.cn" ]
  [ "Juan-zi LI, E-mail: ljz@keg.cs.tsinghua.edu.cn" ]
  [ "Jeff Z. PAN, E-mail:Jeff.z.pan@abdn.ac.uk" ]
- Funds：
  
  Project supported by the National Natural Science Foundation of China (Nos. 661035004 and 60973102), the China Postdoctoral Science Foundation (No. 20110490390), and the THU-NUS Next Research Center
- DOI：10.1631/jzus.C1101008
  中图分类号： TP311
- 收稿：2011-08-10，
  
  修回：2012-;2-27，
  
  纸质出版：2012-04
- Accepted：
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Knowledge extraction from Chinese wiki encyclopedias[J]. 信息与电子工程前沿（英文）, 2012,13(4):268-280.

Zhi-chun WANG, Zhi-gang WANG, Juan-zi LI, et al. Knowledge extraction from Chinese wiki encyclopedias[J]. Frontiers of Information Technology & Electronic Engineering, 2012, 13(4): 268-280.
Knowledge extraction from Chinese wiki encyclopedias[J]. 信息与电子工程前沿（英文）, 2012,13(4):268-280. DOI： 10.1631/jzus.C1101008.

Zhi-chun WANG, Zhi-gang WANG, Juan-zi LI, et al. Knowledge extraction from Chinese wiki encyclopedias[J]. Frontiers of Information Technology & Electronic Engineering, 2012, 13(4): 268-280. DOI： 10.1631/jzus.C1101008.

摘要

Abstract

The vision of the Semantic Web is to build a 'Web of data' that enables machines to understand the semantics of information on the Web. The Linked Open Data (LOD) project encourages people and organizations to publish various open data sets as Resource Description Framework (RDF) on the Web

which promotes the development of the Semantic Web. Among various LOD datasets

DBpedia has proved a successful structured knowledge base

and has become the central interlinking-hub of the Web of data in English. However

in the Chinese language

there is little linked data published and linked to DBpedia. This hinders the structured knowledge sharing of both Chinese and cross-lingual resources. This paper deals with an approach for building a large-scale Chinese structured knowledge base from Chinese wiki resources

including Hudong and Baidu Baike. The proposed approach first builds an ontology based on the wiki category system and infoboxes

and then extracts instances from wiki articles. Using Hudong as our source

our approach builds an ontology containing 19 542 concepts and 2381 properties. 802 593 instances are extracted and described using the concepts and properties in the extracted ontology and 62 679 of them are linked to equivalent instances in DBpedia. As from Baidu Baike

our approach builds an ontology containing 299 concepts

37 object properties

and 5590 data type properties. 1 319 703 instances are extracted from Baidu Baike

and 84 343 of them are linked to instances in DBpedia. We provide RDF dumps and SPARQL endpoint to access the established Chinese knowledge bases. The knowledge bases built using our approach can be used not only in Chinese linked data building

but also in many useful applications of large-scale knowledge bases

such as question-answering and semantic search.

关键词

Keywords

references

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