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Semantic Links Across Distributed Heterogeneous Data

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Distributed Computing and Artificial Intelligence, 16th International Conference (DCAI 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1003 ))

Abstract

Data is often distributed using different formats and terminology to describe the same entities. This can make it difficult to query across data, to find duplicates, and to be aware of related resources. One approach to these issues is unifying the data into a shared format, connecting related entities. We created a prototype human aided system that converts data to RDF and links related entities using semantic web technologies. By using federation, entity resolution, and ontology alignment, common ideas are linked and the user can query across distributed data sources. In this paper, we show that by using our system, the time required to meaningfully connect data is significantly decreased compared to manual linking, showing an improvement of 78% with validation and 99% without validation on an inventory dataset with 11 thousand triples.

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Acknowledgment

DISTRIBUTION A. Approved for public release: distribution unlimited. Case Number: 88ABW-2019-0471. This material is based upon work supported by the Air Force Research Laboratory, Rome NY, under Contract No. FA8750-17-C-0193. The authors wish to thank AFRL team members Aaron McVay and Nicholas DelRio.

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Authors and Affiliations

  1. Raytheon BBN Technologies, Cambridge, MA, 02138, USA

    Sarah Jeter, Colleen Rock, Brett Benyo, Aaron Adler & Fusun Yaman

  2. TRESYS Technology, LLC, Columbia, MD, 21045, USA

    Michael Beckerle

  3. Memory Based Research, LLC, Pittsburgh, PA, 15206, USA

    Alice Mulvehill

  4. Operationally Focused Acquisition, LLC, Locust Grove, VA, 22508, USA

    Robert Hoh

Authors
  1. Sarah Jeter
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  2. Colleen Rock
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  3. Brett Benyo
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  4. Aaron Adler
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  5. Fusun Yaman
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  6. Michael Beckerle
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  7. Alice Mulvehill
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  8. Robert Hoh
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Corresponding author

Correspondence to Sarah Jeter .

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Editors and Affiliations

  1. Department of Computer Science and Artificial Intelligence, University of Granada, ETS de Ingenierias Informática y de Telecomunicación, Granada, Spain

    Francisco Herrera

  2. Department of Engineering, Osaka Institute of Technology, Osaka , Japan

    Kenji Matsui

  3. Department of Computer Science, University of Salamanca, Salamanca, Spain

    Sara Rodríguez-González

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Jeter, S. et al. (2020). Semantic Links Across Distributed Heterogeneous Data. In: Herrera, F., Matsui , K., Rodríguez-González, S. (eds) Distributed Computing and Artificial Intelligence, 16th International Conference. DCAI 2019. Advances in Intelligent Systems and Computing, vol 1003 . Springer, Cham. https://doi.org/10.1007/978-3-030-23887-2_13

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