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Semantic mediator querying

Published: 07 July 2014 Publication History

Abstract

We present the whole querying process of our ontology-based data integration proposal, that we call Semantic Mediator. The global schema (a TBox) is composed of the source schemas (also Tboxes) and a taxonomy, which links the sources to each other. The querying process is based on the global-schema's structure and consists of three steps: global query rewriting, source querying and global answer building. We describe the overall distributed system and the query-rewriting algorithm. Then we present an application of such a semantic mediation, the Personae project, which is for enabling historians to share their prosopographic data from the Middle Ages and the Renaissance.

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Published In

cover image ACM Other conferences
IDEAS '14: Proceedings of the 18th International Database Engineering & Applications Symposium
July 2014
411 pages
ISBN:9781450326278
DOI:10.1145/2628194
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • ISEP: Instituto Superior de Engenharia do Porto
  • BytePress
  • Concordia University: Concordia University

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 July 2014

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Author Tags

  1. distributed query answering
  2. semantic data integration

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IDEAS '14
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  • ISEP
  • Concordia University

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Overall Acceptance Rate 74 of 210 submissions, 35%

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Cited By

View all
  • (2021)Applications of the Metadata StandardsData Technology in Materials Modelling10.1007/978-3-030-68597-3_5(71-92)Online publication date: 20-Mar-2021
  • (2021)IntroductionData Technology in Materials Modelling10.1007/978-3-030-68597-3_1(1-12)Online publication date: 20-Mar-2021
  • (2020)Extracting Multiple Viewpoint Models from Relational DatabasesData-Driven Process Discovery and Analysis10.1007/978-3-030-46633-6_2(24-51)Online publication date: 25-Apr-2020
  • (2019)Semantic Mediation for A Posteriori Log AnalysisProceedings of the 14th International Conference on Availability, Reliability and Security10.1145/3339252.3340104(1-10)Online publication date: 26-Aug-2019
  • (2018)Towards a Flexible Mediator Architecture Using Fuzzy Logic for Integration of Incomplete and Uncertain InformationProceedings of the 2nd Mediterranean Conference on Pattern Recognition and Artificial Intelligence10.1145/3177148.3180094(7-13)Online publication date: 27-Mar-2018
  • (2017)OntopSemantic Web10.3233/SW-1602178:3(471-487)Online publication date: 1-Jan-2017
  • (2017)Supporting Semantic Interoperability in Conservation-Restoration DomainJournal on Computing and Cultural Heritage 10.1145/309757110:3(1-20)Online publication date: 28-Jul-2017
  • (2017)When It Comes to Querying Semantic Cultural Heritage DataNew Trends in Databases and Information Systems10.1007/978-3-319-67162-8_38(384-394)Online publication date: 9-Sep-2017
  • (2017)Cultural Heritage Data Management: The Role of Formal Ontology and CIDOC CRMHeritage and Archaeology in the DigitalAge10.1007/978-3-319-65370-9_6(93-131)Online publication date: 13-Nov-2017
  • (2016)Ontology-Based Data Integration System for Conservation-Restoration Data (OBDIS-CR)Proceedings of the 20th International Database Engineering & Applications Symposium10.1145/2938503.2938545(218-223)Online publication date: 11-Jul-2016
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