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Encyclopedia of Big Data Technologies pp 1040–1044Cite as

Integration-Oriented Ontology

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Synonyms

Ontology-based Data Access

Definitions

The purpose of an integration-oriented ontology is to provide a conceptualization of a domain of interest for automating the data integration of an evolving and heterogeneous set of sources using Semantic Web technologies. It links domain concepts to each of the underlying data sources via schema mappings. Data analysts, who are domain experts but not necessarily have technical data management skills, pose ontology-mediated queries over the conceptualization, which are automatically translated to the appropriate query language for the sources at hand. Following well-established rules when designing schema mappings allows to automate the process of query rewriting and execution.

Overview

Information integration, or data integration, has been an active problem of study for decades. Shortly, it consists in giving a single query involving several data sources to get a single answer.

Semantic Web technologies are well-suited to implement such...

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Author information

Authors and Affiliations

  1. Polytechnic University of Catalonia, Barcelona, Spain

    Sergi Nadal & Alberto Abelló

Authors
  1. Sergi Nadal
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  2. Alberto Abelló
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Corresponding author

Correspondence to Alberto Abelló .

Editor information

Editors and Affiliations

  1. Institute of Computer Science, University of Tartu, Tartu, Estonia

    Sherif Sakr

  2. School of Information Technologies, Sydney University, Sydney, Australia

    Albert Y. Zomaya

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Nadal, S., Abelló, A. (2019). Integration-Oriented Ontology. In: Sakr, S., Zomaya, A.Y. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-77525-8_13

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