AutoMap4OBDA: Automated generation of R2RML mappings for OBDA

Álvaro Sicilia, German Nemirovski

Research output: Book chapterConference contributionpeer-review

11 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationKnowledge Engineering and Knowledge Management - 20th International Conference, EKAW 2016, Proceedings
EditorsPaolo Ciancarini, Francesco Poggi, Fabio Vitali, Eva Blomqvist
PublisherSpringer Verlag
Pages577-592
Number of pages16
ISBN (Print)9783319490038
DOIs
Publication statusPublished - 2016
Event20th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2016 - Bologna, Italy
Duration: 19 Nov 201623 Nov 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10024 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2016
Country/TerritoryItaly
CityBologna
Period19/11/1623/11/16

Keywords

  • OBDA
  • Ontology learning
  • R2RML
  • Relational-to-ontology mappings

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