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.
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Sheng, Z., Wang, X., Shi, H., Feng, Z. (2012). Checking and Handling Inconsistency of DBpedia. In: Wang, F.L., Lei, J., Gong, Z., Luo, X. (eds) Web Information Systems and Mining. WISM 2012. Lecture Notes in Computer Science, vol 7529. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33469-6_60
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DOI: https://doi.org/10.1007/978-3-642-33469-6_60
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33468-9
Online ISBN: 978-3-642-33469-6
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