International Semantic Web Conference

The Semantic Web - ISWC 2015 pp 180-196

Serving DBpedia with DOLCE – More than Just Adding a Cherry on Top

Conference paper

DOI: 10.1007/978-3-319-25007-6_11

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9366)
Cite this paper as:
Paulheim H., Gangemi A. (2015) Serving DBpedia with DOLCE – More than Just Adding a Cherry on Top. In: Arenas M. et al. (eds) The Semantic Web - ISWC 2015. Lecture Notes in Computer Science, vol 9366. Springer, Cham

Abstract

Large knowledge bases, such as DBpedia, are most often created heuristically due to scalability issues. In the building process, both random as well as systematic errors may occur. In this paper, we focus on finding systematic errors, or anti-patterns, in DBpedia. We show that by aligning the DBpedia ontology to the foundational ontology DOLCE-Zero, and by combining reasoning and clustering of the reasoning results, errors affecting millions of statements can be identified at a minimal workload for the knowledge base designer.

Keywords

Data quality Formal ontologies Foundational ontologies Anti-pattern DBpedia DOLCE 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Research Group Data and Web ScienceUniversity of MannheimMannheimGermany
  2. 2.Université Paris 13 - Sorbonne Paris Cité - CNRSParisFrance
  3. 3.STLabISTC-CNRRomeItaly

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