Assessing the Quality of Domain Concepts Descriptions in DBpedia

Abstract

With the increasing volume of datasets on the Linked Open Data (LOD) cloud, it becomes necessary to assess Linked Data quality. This is especially important for DBpedia, which has become a prominent resource on the LOD. In this paper, our aim is to evaluate the quality of the description of domain concepts in DBpedia. Using a data-driven approach on a sample of domain concepts from Wikipedia, we show that a) the resources in our sample are described mainly by facts in DBpedia and seldom refer to the DBpedia ontology, b) DBpedia models very poorly these sample domain concepts at the instance level and schema level, c) very few predicates can be used for inference purposes, and d) very few domain predicates (object properties) are used in the description of domain concepts. This highlights the importance of restructuring the DBpedia knowledge base and including domain knowledge at the schema and instance levels.