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Semantic big data for tax assessment
2016
Proceedings of the International Workshop on Semantic Big Data - SBD '16
Semantic Big Data is about the creation of new applications exploiting the richness and flexibility of declarative semantics combined with scalable and highly distributed data management systems. In this work, we present an application scenario in which a domain ontology, Open Refine and the Okkam Entity Name System enable a frictionless and scalable data integration process leading to a knowledge base for tax assessment. Further, we introduce the concept of Entiton as a flexible and efficient
doi:10.1145/2928294.2928297
dblp:conf/sigmod/BortoliBPM16
fatcat:bjxay2f7o5d4ljuedg4wug4hbi