Making Sense of schema.org with WordNet

Csaba Veres

[How to correct problems with metadata yourself]


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.
Anthology ID:
2019.gwc-1.1
Volume:
Proceedings of the 10th Global Wordnet Conference
Month:
July
Year:
2019
Address:
Wroclaw, Poland
Editors:
Piek Vossen, Christiane Fellbaum
Venue:
GWC
SIG:
SIGLEX
Publisher:
Global Wordnet Association
Note:
Pages:
1–9
Language:
URL:
https://aclanthology.org/2019.gwc-1.1
DOI:
Bibkey:
Cite (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.
Cite (Informal):
Making Sense of schema.org with WordNet (Veres, GWC 2019)
Copy Citation:
PDF:
https://preview.aclanthology.org/teach-a-man-to-fish/2019.gwc-1.1.pdf