The knowledge organization of DBpedia: a case study

Abstract

Purpose

This paper investigates the semantic structure underlying DBpedia, one of the largest and most heavily used datasets in the current Linked Open Data (LOD) landscape. The analysis attempts to shed light on this new type of knowledge organization tool.

Design/methodology/approach

The research followed a case study methodology to analyze DBpedia using the domain of jazz as the application scenario.

Findings

The study reveals an evolving knowledge organization tool where different descriptive and classification approaches are employed concurrently. The semantic constructs employed in the DBpedia knowledge base vary significantly in terms of their degree of formalization, stability, cohesiveness and consistency. As such, they challenge the tolerance threshold for data quality and the traditional notion of authority control.

Research limitations/implications

The analysis is conducted on a limited portion of a large knowledge base. Initial findings provide a basis for further research and study.

Practical implications

Revealing the knowledge organization underlying DBpedia increases the understanding of its power, its limitations and its implications for the new semantic context provided by LOD. Having an understanding of the range of entities and properties available enables LOD users to formulate queries with higher precision.

Originality/value

This study is the first conducted from the perspective of the knowledge organization community.

Citation

Pattuelli, C. and Rubinow, S. (2013), "The knowledge organization of DBpedia: a case study", Journal of Documentation, Vol. 69 No. 6, pp. 762-772. https://doi.org/10.1108/JD-07-2012-0084