TY - GEN
T1 - Ontology-based RDF integration of heterogeneous data
AU - Buron, Maxime
AU - Goasdoué, François
AU - Manolescu, Ioana
AU - Mugnier, Marie Laure
N1 - Publisher Copyright:
© 2020 Copyright held by the owner/author(s).
PY - 2020/1/1
Y1 - 2020/1/1
N2 - The proliferation of heterogeneous data sources in many application contexts brings an urgent need for expressive and efficient data integration mechanisms. There are strong advantages to using RDF graphs as the integration format: being schemaless, they allow for flexible integration of data from heterogeneous sources; RDF graphs can be interpreted with the help of an ontology, describing application semantics; last but not least, RDF enables joint querying of the data and the ontology. To address this need, we formalize RDF Integration Systems (RIS), Ontology Based-Data Access mediators, that go beyond the state of the art in the ability to expose, integrate and flexibly query data from heterogeneous sources through GLAV (global-local-as-view) mappings. We devise several query answering strategies, based on an innovative integration of LAV view-based rewriting and a form of mapping saturation. Our experiments show that one of these strategies brings strong performance advantages, resulting from a balanced use of mapping saturation and query reformulation.
AB - The proliferation of heterogeneous data sources in many application contexts brings an urgent need for expressive and efficient data integration mechanisms. There are strong advantages to using RDF graphs as the integration format: being schemaless, they allow for flexible integration of data from heterogeneous sources; RDF graphs can be interpreted with the help of an ontology, describing application semantics; last but not least, RDF enables joint querying of the data and the ontology. To address this need, we formalize RDF Integration Systems (RIS), Ontology Based-Data Access mediators, that go beyond the state of the art in the ability to expose, integrate and flexibly query data from heterogeneous sources through GLAV (global-local-as-view) mappings. We devise several query answering strategies, based on an innovative integration of LAV view-based rewriting and a form of mapping saturation. Our experiments show that one of these strategies brings strong performance advantages, resulting from a balanced use of mapping saturation and query reformulation.
U2 - 10.5441/002/edbt.2020.27
DO - 10.5441/002/edbt.2020.27
M3 - Conference contribution
AN - SCOPUS:85084181531
T3 - Advances in Database Technology - EDBT
SP - 299
EP - 310
BT - Advances in Database Technology - EDBT 2020
A2 - Bonifati, Angela
A2 - Zhou, Yongluan
A2 - Vaz Salles, Marcos Antonio
A2 - Bohm, Alexander
A2 - Olteanu, Dan
A2 - Fletcher, George
A2 - Khan, Arijit
A2 - Yang, Bin
PB - OpenProceedings.org
T2 - 23rd International Conference on Extending Database Technology, EDBT 2020
Y2 - 30 March 2020 through 2 April 2020
ER -