Recent developments in data analysis and machine learning support novel data-driven operations. Event data provide social and environmental context, thus, such data may become essential for the workflow of data analytic pipelines. In this paper, we introduce our Business Event Exchange Ontology (BEEO), based on Schema.org that enables data integration and analytics for event data. BEEO is available under Apache 2.0 license on GitHub, and is seeing adoption among both its creator companies and other product and service companies. We present and discuss the ontology development drivers and process, its structure, and its usage in different real use cases.
Ciavotta, M., Cutrona, V., DE PAOLI, F., Palmonari, M., Spahiu, B. (2021). BEEO: Semantic Support for Event-based Data Analytics. In SEMANTIC WEB - ISWC 2021 (pp.580-596). GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND : Springer Science and Business Media Deutschland GmbH [10.1007/978-3-030-88361-4_34].
BEEO: Semantic Support for Event-based Data Analytics
Michele Ciavotta;Vincenzo Cutrona;Flavio De Paoli;Matteo Palmonari;Blerina Spahiu
2021
Abstract
Recent developments in data analysis and machine learning support novel data-driven operations. Event data provide social and environmental context, thus, such data may become essential for the workflow of data analytic pipelines. In this paper, we introduce our Business Event Exchange Ontology (BEEO), based on Schema.org that enables data integration and analytics for event data. BEEO is available under Apache 2.0 license on GitHub, and is seeing adoption among both its creator companies and other product and service companies. We present and discuss the ontology development drivers and process, its structure, and its usage in different real use cases.
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