Paper Info
Title
Statistical and Structural Analysis of Web-Based Collaborative Knowledge Bases Generated from Wiki Encyclopedia
Abstract
Web-based collaborative knowledge bases collect human knowledge through the Web. They can be used for answering questions or support different knowledge intensive applications on the Web. From a statistical point of view, they usually reveal some interesting characteristics, which can be acquired through statistical analysis to get deeper understanding of these kinds of knowledge bases. In this paper, we build a semantic knowledge base using the triples extracted from a Chinese wiki Web site called Baidu Baike. We make an investigation on the statistical results on the building process and structural characteristics of this knowledge base. We explain what we have observed and inferred and how the conclusion can help to understand the process of building large scale Web based collaborative knowledge bases and how to make them better.
Year
DOI
Venue
2012
10.1109/WI-IAT.2012.248
Web Intelligence
Keywords
Field
DocType
semantic knowledge base,web-based collaborative knowledge base,wiki encyclopedia,encyclopaedias,structural analysis,chinese wiki web site,knowledge base,statistical result,web-based collaborative knowledge,statistical analysis,web-based collaborative knowledge bases,collaborative knowledge base,complex system,baidu baike,human knowledge,web sites,human behavior,collaborative knowledge bases,groupware,different knowledge,statistical point
Semantic memory,Data mining,World Wide Web,Information retrieval,Computer science,Encyclopedia,Human knowledge,Web application,Knowledge base,Web site,Statistical analysis
Conference
Volume
ISBN
Citations 
1
978-1-4673-6057-9
3
PageRank 
References 
Authors
0.45
8
4
Name
Order
Citations
PageRank
Yi Zeng18919.31
Hao Wang230.45
Hong-Wei Hao335927.28
Bo Xu424136.59