2019/06/15 by Umutcan Şimşek, Şimşek, Umutcan, Kevin Angele +7
Biochemistry, Genetics and Molecular Biology · Computer Science · #Advanced Database Systems and Queries #Biomedical Text Mining and Ontologies #Databases (cs.DB) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Semantic Web and Ontologies
paper · pdf · doi:10.48550/arxiv.1906.06492
openalex publication_date 2019/06/15 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Schema.org is a widely adopted vocabulary for semantic annotation of content and data. However, its generic nature makes it complicated for data publishers to pick right types and properties for a specific domain and task. In this paper we propose a formal approach, a domain specification process that generates domain specific patterns by applying operators implemented in SHACL to the schema.org vocabulary. These patterns can support knowledge generation and assessment processes for specific domains and tasks. We demonstrated our approach with use cases in tourism domain.