Maxime Buron
Abstract
We consider the problem of integrating heterogeneous data (relational, JSON, key-values, graphs etc.) and querying it efficiently. Traditional data integration systems fall into two classes: data warehousing, where all data source content is materialized in a single repository, and mediation, where data remains in their original stores and all data can be queried through a mediator.
We propose to demonstrate Obi-Wan, a novel mediator following the Ontology-Based Data access (OBDA) paradigm. Obi-Wan integrates data sources of many data models under an interface based on RDF graphs and ontologies (classes, properties, and relations between them). The novelty of Obi-Wan is to combine maximum integration power (GLAV mappings, see below) with the highest query answering power supported by an RDF mediator: RDF queries not only over the data but also over the integration ontologies. This makes it more flexible and powerful than comparable systems.
- N. Abdallah, F. Goasdoué, and M. Rousset. DL-LITER in the light of propositional logic for decentralized data management. In IJCAI, 2009. Google Scholar
Digital Library
- R. Alotaibi, D. Bursztyn, A. Deutsch, I. Manolescu, and S. Zampetakis. Towards Scalable Hybrid Stores: Constraint-Based Rewriting to the Rescue. In SIGMOD, June 2019. Google ScholarDigital Library
- J.-F. Baget, M. Leclère, M. Mugnier, S. Rocher, and C. Sipieter. Graal: A toolkit for query answering with existential rules. In RuleML, 2015.Google ScholarCross Ref
- R. Bonaque, T. D. Cao, et al. Mixed-instance querying: A lightweight integration architecture for data journalism. PVLDB, 9(13):1513--1516, 2016. Google ScholarDigital Library
- M. Buron, F. Goasdoué, I. Manolescu, and M. Mugnier. Reformulation-based query answering for RDF graphs with RDFS ontologies. In ESWC, 2019.Google ScholarCross Ref
- M. Buron, F. Goasdoué, I. Manolescu, and M. Mugnier. Ontology-based RDF integration of heterogeneous data. In EDBT, 2020.Google Scholar
- D. Calvanese, B. Cogrel, S. Komla-Ebri, R. Kontchakov, D. Lanti, M. Rezk, M. Rodriguez-Muro, and G. Xiao. Ontop: Answering SPARQL queries over relational databases. Semantic Web, 8(3), 2017.Google Scholar
- D. Calvanese, G. De Giacomo, D. Lembo, et al. The MASTRO system for ontology-based data access. Semantic Web, 2(1), 2011. Google ScholarDigital Library
- D. Calvanese, G. De Giacomo, D. Lembo, M. Lenzerini, R. Rosati, and M. Ruzzi. Using owl in data integration. In Semantic Web Information Management. 2009.Google Scholar
- D. Calvanese, G. De Giacomo, M. Lenzerini, and M. Y. Vardi. Query processing under GLAV mappings for relational and graph databases. PVLDB, 6(2):61--72, 2012. Google ScholarDigital Library
- G. De Giacomo, D. Lembo, M. Lenzerini, A. Poggi, and R. Rosati. Using Ontologies for Semantic Data Integration. 2018.Google Scholar
- A. Deutsch and V. Tannen. MARS: A system for publishing XML from mixed and redundant storage. In PVLDB, pages 201--212, 2003. Google ScholarDigital Library
- A. Doan, A. Halevy, and Z. G. Ives. Principles of Data Integration. Morgan Kaufmann, Waltham, MA, 2012. Google ScholarDigital Library
- J. Duggan, A. J. Elmore, M. Stonebraker, et al. The BigDAWG polystore system. SIGMOD, 44(2), 2015. Google ScholarDigital Library
- H. Garcia-Molina, Y. Papakonstantinou, D. Quass, et al. The TSIMMIS approach to mediation: Data models and languages. JIIS, 8(2), 1997. Google ScholarDigital Library
- F. Goasdoué, V. Lattès, and M. Rousset. The use of CARIN language and algorithms for information integration: The PICSEL system. IJCIS, 2000.Google ScholarCross Ref
- I. Manolescu, D. Florescu, and D. Kossmann. Answering XML queries on heterogeneous data sources. In VLDB, pages 241--250, 2001. Google ScholarDigital Library
- S. Nadal, K. Rabbani, O. Romero, and S. Tadesse. ODIN: A Dataspace Management System. 2019.Google Scholar
- A. Poggi, D. Lembo, D. Calvanese, G. De Giacomo, M. Lenzerini, and R. Rosati. Linking data to ontologies. J. Data Semantics, 10, 2008. Google ScholarDigital Library
- M. Rodriguez-Muro, R. Kontchakov, and M. Zakharyaschev. Ontology-based data access: Ontop of databases. In ISWC, 2013. Google ScholarDigital Library
- J. F. Sequeda, M. Arenas, and D. P. Miranker. OBDA: query rewriting or materialization? in practice, both! In ISWC, 2014. Google ScholarDigital Library
- G. Smits, O. Pivert, H. Jaudoin, and F. Paulus. AGGREGO SEARCH: interactive keyword query construction. In EDBT, 2014.Google Scholar
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