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
- Venue:
- GWC
- SIG:
- Publisher:
- Global Wordnet Association
- Note:
- Pages:
- 1–9
- Language:
- URL:
- https://aclanthology.org/2019.gwc-1.1
- DOI:
- 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)
- PDF:
- https://preview.aclanthology.org/auto-file-uploads/2019.gwc-1.1.pdf