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Construction of Semantic Data Models

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Data Management Technologies and Applications (DATA 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 814))

Abstract

The production of scientific publications has increased 8–9% each year during the previous six decades [1]. In order to conduct state-of-the-art research, scientists and scholars have to dig relevant information out of a large volume of documents. Additional challenges to analyze scientific documents include the variability of publishing standards, formats, and domains. Novel methods are needed to analyze and find concrete information in publications rapidly. In this work, we present a conceptual design to systematically build semantic data models using relevant elements including context, metadata, and tables that appear in publications from any domain. To enrich the models, as well as to provide semantic interoperability among documents, we use general-purpose ontologies and a vocabulary to organize their information. The resulting models allow us to synthesize, explore, and exploit information promptly.

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Author information

Authors and Affiliations

  1. University of New Mexico, Albuquerque, NM, 87131, USA

    Martha O. Perez-Arriaga, Trilce Estrada & Soraya Abad-Mota

Authors
  1. Martha O. Perez-Arriaga
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  2. Trilce Estrada
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  3. Soraya Abad-Mota
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Corresponding author

Correspondence to Martha O. Perez-Arriaga .

Editor information

Editors and Affiliations

  1. INSTICC, Polytechnic Institute of Setúbal, Setúbal, Portugal

    Joaquim Filipe

  2. University of Coimbra, Coimbra, Portugal

    Jorge Bernardino

  3. RWTH Aachen University, Aachen, Germany

    Christoph Quix

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Perez-Arriaga, M.O., Estrada, T., Abad-Mota, S. (2018). Construction of Semantic Data Models. In: Filipe, J., Bernardino, J., Quix, C. (eds) Data Management Technologies and Applications. DATA 2017. Communications in Computer and Information Science, vol 814. Springer, Cham. https://doi.org/10.1007/978-3-319-94809-6_3

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  • DOI: https://doi.org/10.1007/978-3-319-94809-6_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-94808-9

  • Online ISBN: 978-3-319-94809-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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