作者: Christoph Pinkel , Carsten Binnig , Ernesto Jiménez-Ruiz , Wolfgang May , Dominique Ritze
DOI: 10.1007/978-3-319-18818-8_2
关键词: Information management 、 Data integration 、 Computer science 、 Database schema 、 Set (abstract data type) 、 Ontology-based data integration 、 Relational database 、 Ontology (information science) 、 Data mapping 、 Data science
摘要: A major challenge in information management today is the integration of huge amounts data distributed across multiple sources. suggested approach to this problem ontology-based where legacy systems are integrated via a common ontology that represents unified global view over all However, often not natively born using these ontologies. Instead, much resides relational databases. Therefore, mappings relate sources need be constructed. Recent techniques and automatically construct such have been developed. The quality metrics are, however, only based on self-designed benchmarks. This paper introduces new publicly available benchmarking suite called RODI, which designed cover wide range mapping challenges Relational-to-Ontology Data Integration scenarios. RODI provides set different ontologies representing as well scoring function with performance relational-to-ontology construction may evaluated.