2018/05/15 by Elias Kärle, Kärle, Elias, Umutcan Şimşek +5 · 1 citation
Computer Science · #Data Management and Algorithms #FOS: Computer and information sciences #Graph Theory and Algorithms #Information Retrieval (cs.IR) #Semantic Web and Ontologies
paper · pdf · doi:10.48550/arxiv.1805.05744
openalex publication_date 2018/05/15 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The introduction of the schema.org vocabulary was a big step towards making websites machine read- and understandable. Due to schema.org's RDF-like nature storing annotations in a graph database is easy and efficient. In this paper the authors show how they gather touristic data in the Austrian region of Tirol and provide this data publicly in a knowledge graph. The definition of subsets of the vocabulary is followed by providing means to map data sources efficiently to schema.org and then store the annotated content into the graph. To showcase the consumption of the touristic data four scenarios are described which use the knowledge graph for real life applications and data analysis.