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    <abstract>The schema.org initiative was designed to introduce machine readable metadata into the World Wide Web. This paper investigates conceptual biases in the schema through a mapping exercise between schema.org types and WordNet synsets. We create a mapping ontology which establishes the relationship between schema metadata types and the corresponding everyday concepts. This in turn can be used to enhance metadata annotation to include a more complete description of knowledge on the Web of data.</abstract>
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%0 Conference Proceedings
%T Making Sense of schema.org with WordNet
%A Veres, Csaba
%Y Vossen, Piek
%Y Fellbaum, Christiane
%S Proceedings of the 10th Global Wordnet Conference
%D 2019
%8 July
%I Global Wordnet Association
%C Wroclaw, Poland
%F veres-2019-making
%X The schema.org initiative was designed to introduce machine readable metadata into the World Wide Web. This paper investigates conceptual biases in the schema through a mapping exercise between schema.org types and WordNet synsets. We create a mapping ontology which establishes the relationship between schema metadata types and the corresponding everyday concepts. This in turn can be used to enhance metadata annotation to include a more complete description of knowledge on the Web of data.
%U https://aclanthology.org/2019.gwc-1.1
%P 1-9

Markdown (Informal)

[Making Sense of schema.org with WordNet](https://aclanthology.org/2019.gwc-1.1) (Veres, GWC 2019)

• Making Sense of schema.org with WordNet (Veres, GWC 2019)

ACL

• Csaba Veres. 2019. Making Sense of schema.org with WordNet. In Proceedings of the 10th Global Wordnet Conference, pages 1–9, Wroclaw, Poland. Global Wordnet Association.