Paper Info
Title
Knowledge graph construction from multiple online encyclopedias
Abstract
In recent years, lots of knowledge graphs built from Wikipedia, the largest multilingual online encyclopedia, have been published on the Web to support various applications. However, since non-English data in Wikipedia are sparse, some projects work on knowledge graph construction from multiple non-English online encyclopedias, but many technical details are missing, so it is hard to reuse their frameworks or techniques. In this paper, we propose a new framework to solve knowledge graph construction from multiple online encyclopedias. The core modules are knowledge extraction and knowledge linking. Knowledge extraction consists of regular extraction, i.e., extracting targeted article contents in the whole online encyclopedias periodically, and live extraction, which only extracts the article contents of new and updated entities. Knowledge linking utilizes heuristic lightweight entity matching strategies and a semi-supervised learning method to find duplicated entities and properties from different online encyclopedias. Experimental results show that our approaches for knowledge extraction and linking outperform state-of-the-art baselines in different evaluation metrics, and our framework can generate a large-scale knowledge graph after inputting multiple online encyclopedias.
Year
DOI
Venue
2020
10.1007/s11280-019-00719-4
WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS
Keywords
DocType
Volume
Knowledge graph,Knowledge extraction,Knowledge linking,Semantic Web
Journal
23.0
Issue
ISSN
Citations 
SP5
1386-145X
1
PageRank 
References 
Authors
0.39
0
8
Name
Order
Citations
PageRank
Tianxing Wu1183.75
Haofen Wang284358.85
Cheng Li310.39
Guilin Qi410.39
Xing Niu513510.15
Meng Wang62411.05
Lin Li732379.92
Chaomin Shi810.39