Title
BEEO: Semantic Support for Event -Based Data Analytics
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.
Year
DOI
Venue
2021
10.1007/978-3-030-88361-4_34
SEMANTIC WEB - ISWC 2021
Keywords
DocType
Volume
Event data, Business events, Custom events, API, Ontology, Data analytics
Conference
12922
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Michele Ciavotta120216.40
Vincenzo Cutrona200.68
Flavio Paoli3483.98
Matteo Palmonari445044.73
Blerina Spahiu5256.28