AutoMap4OBDA: Automated generation of R2RML mappings for OBDA

Álvaro Sicilia, German Nemirovski

Producció científica: Capítol de llibreContribució a congrés/conferènciaAvaluat per experts

9 Cites (Scopus)


Ontology-Based Data Access (OBDA) has become a popular paradigm for the integration of heterogeneous data. The key components of an OBDA system are the mappings between the data source and the target ontology. The great efforts required to create manual mappings are still a significant barrier to adopting the OBDA. Current relational-to-ontology mapping generators are far from providing 100 % of the mappings required in real-world problems. To overcome this issue we present AutoMap4OBDA, a system which automatically generates R2RML mappings based on the intensive use of relational source contents and features of the target ontology. Ontology learning techniques are applied to infer class hierarchies, the string similarity metrics are selected based on the target ontology labels, and graph structures are applied to generate the mappings. We have used the RODI benchmarking suite to evaluate AutoMap4OBDA which outperforms the most advanced state-of-the-art mapping generators.

Idioma originalAnglès
Títol de la publicacióKnowledge Engineering and Knowledge Management - 20th International Conference, EKAW 2016, Proceedings
EditorsPaolo Ciancarini, Francesco Poggi, Fabio Vitali, Eva Blomqvist
EditorSpringer Verlag
Nombre de pàgines16
ISBN (imprès)9783319490038
Estat de la publicacióPublicada - 2016
Esdeveniment20th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2016 - Bologna, Italy
Durada: 19 de nov. 201623 de nov. 2016

Sèrie de publicacions

NomLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volum10024 LNAI
ISSN (imprès)0302-9743
ISSN (electrònic)1611-3349


Conferència20th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2016


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