Commonsense Knowledge in Wikidata
  Wikidata and Wikipedia have been proven useful for reason-ing in natural
language applications, like question answering or entitylinking. Yet, no
existing work has studied the potential of Wikidata for commonsense reasoning.
This paper investigates whether Wikidata con-tains commonsense knowledge which
is complementary to existing commonsense sources. Starting from a definition of
common sense, we devise three guiding principles, and apply them to generate a
commonsense subgraph of Wikidata (Wikidata-CS). Within our approach, we map the
relations of Wikidata to ConceptNet, which we also leverage to integrate
Wikidata-CS into an existing consolidated commonsense graph. Our experiments
reveal that: 1) albeit Wikidata-CS represents a small portion of Wikidata, it
is an indicator that Wikidata contains relevant commonsense knowledge, which
can be mapped to 15 ConceptNet relations; 2) the overlap between Wikidata-CS
and other commonsense sources is low, motivating the value of knowledge
integration; 3) Wikidata-CS has been evolving over time at a slightly slower
rate compared to the overall Wikidata, indicating a possible lack of focus on
commonsense knowledge. Based on these findings, we propose three recommended
actions to improve the coverage and quality of Wikidata-CS further.
