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Using Ontologies for Semantic Data Integration

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A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years

Part of the book series: Studies in Big Data ((SBD,volume 31))

Abstract

While big data analytics is considered as one of the most important paths to competitive advantage of today’s enterprises, data scientists spend a comparatively large amount of time in the data preparation and data integration phase of a big data project. This shows that data integration is still a major challenge in IT applications. Over the past two decades, the idea of using semantics for data integration has become increasingly crucial, and has received much attention in the AI, database, web, and data mining communities. Here, we focus on a specific paradigm for semantic data integration, called Ontology-Based Data Access (OBDA). The goal of this paper is to provide an overview of OBDA, pointing out both the techniques that are at the basis of the paradigm, and the main challenges that remain to be addressed.

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Notes

  1. 1.

    http://www.dbta.com/.

  2. 2.

    As usual, we assume to deal with pre-interpreted data types, and thus we can harmlessly use \(\varvec{t}\) to denote both the values and the constants representing them.

  3. 3.

    In fact, if we restrict to \(\textit{DL-Lite}_{\!R} \), then UNA becomes immaterial and can be dropped, as done in OWL 2 QL.

  4. 4.

    In \(\mathcal {M}_{L}\), the sets of fresh function symbols introduced in each \(\tau (m)\) are pairwise disjoint.

  5. 5.

    https://docs.mongodb.com/manual/.

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Authors and Affiliations

  1. Dipartimento di Ingegneria Informatica, Automatica e Gestionale Sapienza Università di Roma, Rome, Italy

    Giuseppe De Giacomo, Domenico Lembo, Maurizio Lenzerini, Antonella Poggi & Riccardo Rosati

Authors
  1. Giuseppe De Giacomo
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  2. Domenico Lembo
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  3. Maurizio Lenzerini
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  4. Antonella Poggi
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  5. Riccardo Rosati
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Corresponding author

Correspondence to Antonella Poggi .

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Editors and Affiliations

  1. University of Calabria, Rende, Italy

    Sergio Flesca

  2. University of Calabria, Rende, Italy

    Sergio Greco

  3. ICAR-CNR, Rende, Italy

    Elio Masciari

  4. University of Calabria, Rende, Italy

    Domenico Saccà

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De Giacomo, G., Lembo, D., Lenzerini, M., Poggi, A., Rosati, R. (2018). Using Ontologies for Semantic Data Integration. In: Flesca, S., Greco, S., Masciari, E., Saccà, D. (eds) A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years. Studies in Big Data, vol 31. Springer, Cham. https://doi.org/10.1007/978-3-319-61893-7_11

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  • DOI: https://doi.org/10.1007/978-3-319-61893-7_11

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