Checking and handling inconsistency of DBpedia

Authors:
Zhaohua Sheng;Xin Wang;Hong Shi;Zhiyong Feng
Affiliations:
School of Computer Science and Technology, Tianjin University, Tianjin, China;School of Computer Science and Technology, Tianjin University, Tianjin, China;School of Computer Science and Technology, Tianjin University, Tianjin, China;School of Computer Science and Technology, Tianjin University, Tianjin, China
Venue:
WISM'12 Proceedings of the 2012 international conference on Web Information Systems and Mining
Year:
2012

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Abstract

DBpedia is the hub of Linked Data, and there might be inconsistencies in it. Reasoning with inconsistent ontologies may lead to erroneous conclusions, so whether it is consistent is a critical issue. However, the current inference engine is only appropriate to reason lightweight ontologies, and the existing approaches to handle inconsistencies are unreasonable. In this paper, we check the inconsistency in DBpedia by rule-based distributed reasoning using MapReduce. The experimental results show that there are a number of inconsistencies in DBpedia. Furthermore, we should handle different types of inconsistencies respectively with different methods to improve data quality of DBpedia.