Knowledge Base Refinement as Improving an Incorrect and Incomplete Domain Theory

1990 ◽  
Author(s):  
David C. Wilkins
Keyword(s):  
Knowledge Base ◽  
Domain Theory ◽  
Knowledge Base Refinement

Cooperation in Knowledge Base Refinement

1992 ◽  
pp. 445-450 ◽  
Author(s):  
Gheorghe D. Tecuci
Keyword(s):  
Knowledge Base ◽  
Knowledge Base Refinement

scholarly journals Refining Automatically Extracted Knowledge Bases Using Crowdsourcing

2017 ◽  
Vol 2017 ◽  
pp. 1-17
Author(s):  
Chunhua Li ◽  
Pengpeng Zhao ◽  
Victor S. Sheng ◽  
Xuefeng Xian ◽  
Jian Wu ◽  
...  
Keyword(s):  
Knowledge Base ◽  
State Of The Art ◽  
Knowledge Bases ◽  
Important Research ◽  
Semantic Constraints ◽  
Knowledge Base Refinement ◽  
Automatic Methods ◽  
Automated Algorithms ◽  
Research Challenge

Machine-constructed knowledge bases often contain noisy and inaccurate facts. There exists significant work in developing automated algorithms for knowledge base refinement. Automated approaches improve the quality of knowledge bases but are far from perfect. In this paper, we leverage crowdsourcing to improve the quality of automatically extracted knowledge bases. As human labelling is costly, an important research challenge is how we can use limited human resources to maximize the quality improvement for a knowledge base. To address this problem, we first introduce a concept of semantic constraints that can be used to detect potential errors and do inference among candidate facts. Then, based on semantic constraints, we propose rank-based and graph-based algorithms for crowdsourced knowledge refining, which judiciously select the most beneficial candidate facts to conduct crowdsourcing and prune unnecessary questions. Our experiments show that our method improves the quality of knowledge bases significantly and outperforms state-of-the-art automatic methods under a reasonable crowdsourcing cost.

Knowledge base refinement by backpropagation

1991 ◽  
Vol 7 (1) ◽  
pp. 35-46 ◽  
Author(s):  
LiMin Fu
Keyword(s):  
Knowledge Base ◽  
Knowledge Base Refinement

A Systematic Study of Knowledge Base Refinement in the Diagnosis of Leukemia

1987 ◽  
pp. 73-90 ◽  
Author(s):  
John Fox ◽  
Christopher D. Myers ◽  
Melvyn F. Greaves ◽  
Susan Pegram
Keyword(s):  
Knowledge Base ◽  
Systematic Study ◽  
Knowledge Base Refinement
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