Building a Large Scale Knowledge Base from Chinese Wiki Encyclopedia

Zhichun Wang, Zhigang Wang, Juanzi Li, Jeff Z. Pan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

DBpedia has been proved to be a successful structured knowledge base, and large scale Semantic Web data has been built by using DBpedia as the central interlinking-hubs of the Web of Data in English. But in Chinese, due to the heavily imbalance in size (no more than one tenth) between English and Chinese in Wikipedia, there are few Chinese linked data are published and linked to DBpedia, which hinders the structured knowledge sharing both within Chinese resources and cross-lingual resources. This paper aims at building large scale Chinese structured knowledge base from Hudong, which is one of the largest Chinese Wiki Encyclopedia websites. In this paper, an upper-level ontology schema in Chinese is first learned based on the category system and Infobox information in Hudong. Totally, there are 19542 concepts are inferred, which are organized in hierarchy with maximally 20 levels. 2381 properties with domain and range information are learned according to the attributes in the Hudong Infoboxes. Then, 802593 instances are extracted and described using the concepts and properties in the learned ontology. These extracted instances cover a wide range of things, including persons, organizations, places and so on. Among all the instances, 62679 of them are linked to identical instances in DBpedia. Moreover, the paper provides RDF dump or SPARQL to access the established Chinese knowledge base. The general upper-level ontology and wide coverage makes the knowledge base a valuable Chinese semantic resource. It not only can be used in Chinese linked data building, the fundamental work for building multi lingual knowledge base across heterogeneous resources of different languages, but also can largely facilitate many useful applications of large-scale knowledge base such as knowledge question-answering and semantic search.
Original languageEnglish
Title of host publicationThe Semantic Web - Joint International Semantic Technology Conference, JIST 2011, Hangzhou, China, December 4-7, 2011. Proceedings
EditorsJeff Z. Pan, Huajun Chen, Hong-Gee Kim, Juanzi Li, Zhe Wu, Ian Horrocks, Riichiro Mizoguchi, Zhaohui Wu
Place of PublicationBerlin, Heidelberg
PublisherSpringer
Pages80-95
Number of pages16
ISBN (Electronic)978-3-642-29923-0
ISBN (Print)978-3-642-29922-3
DOIs
Publication statusPublished - 15 Jun 2012
Event1st Joint International Semantic Technology Conference 2011
- Hangzhou, China
Duration: 4 Dec 20117 Dec 2011
Conference number: 1

Publication series

NameLecture Notes in Computer Science
PublisherSpringer, Berlin, Heidelberg
Volume7185
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st Joint International Semantic Technology Conference 2011
Abbreviated titleJIST 2011
Country/TerritoryChina
CityHangzhou
Period4/12/117/12/11

Keywords / Materials (for Non-textual outputs)

  • Semantic Web
  • Linked Data
  • Ontology
  • Knowledge base for public health and primary health care practitioners

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