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FiLiPo: A Sample Driven Approach for Finding Linkage Points Between RDF Data and APIs

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Advances in Databases and Information Systems (ADBIS 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12843))

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Abstract

Data integration is an important task in order to create comprehensive RDF knowledge bases. Many data sources are used to extend a given dataset or to correct errors. Since several data providers make their data publicly available only via Web APIs they also must be included in the integration process. However, APIs often come with limitations in terms of access frequencies and speed due to latencies and other constraints. On the other hand, APIs always provide access to the latest data. So far, integrating APIs has been mainly a manual task due to the heterogeneity of API responses. To tackle this problem we present in this paper the FiLiPo (Finding Linkage Points) system which automatically finds connections (i.e., linkage points) between data provided by APIs and local knowledge bases. FiLiPo is an open source sample-driven schema matching system that models API services as parameterized queries. Furthermore, our approach is able to find valid input values for APIs automatically (e.g. IDs) and can determine valid alignments between KBs and APIs. Our results on ten pairs of KBs and APIs show that FiLiPo performs well in terms of precision and recall and outperforms the current state-of-the-art system.

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Notes

  1. 1.

    https://dblp.uni-trier.de/.

  2. 2.

    Code available at https://github.com/dbis-trier-university/FiLiPo.

  3. 3.

    Link to the extended paper version: https://arxiv.org/abs/2103.06253.

  4. 4.

    All used similarity methods are listed in our manual at https://github.com/dbis-trier-university/FiLiPo/blob/master/README.md.

  5. 5.

    Provided by dblp: https://basilika.uni-trier.de/nextcloud/s/A92AbECHzmHiJRF.

  6. 6.

    http://www.cs.toronto.edu/~oktie/linkedmdb/linkedmdb-18-05-2009-dump.nt.

  7. 7.

    Code and gold standard can be found at https://zenodo.org/record/4778531.

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Authors and Affiliations

  1. Trier University, 54286, Trier, Germany

    Tobias Zeimetz & Ralf Schenkel

Authors
  1. Tobias Zeimetz
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  2. Ralf Schenkel
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Correspondence to Tobias Zeimetz .

Editor information

Editors and Affiliations

  1. LIAS/ISAE-ENSMA, Futuroscope Chasseneuil Cedex, France

    Ladjel Bellatreche

  2. University of Tartu, Tartu, Estonia

    Marlon Dumas

  3. Aarhus University, Aarhus, Denmark

    Panagiotis Karras

  4. University of Tartu, Tartu, Estonia

    Raimundas Matulevičius

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Zeimetz, T., Schenkel, R. (2021). FiLiPo: A Sample Driven Approach for Finding Linkage Points Between RDF Data and APIs. In: Bellatreche, L., Dumas, M., Karras, P., Matulevičius, R. (eds) Advances in Databases and Information Systems. ADBIS 2021. Lecture Notes in Computer Science(), vol 12843. Springer, Cham. https://doi.org/10.1007/978-3-030-82472-3_18

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  • DOI: https://doi.org/10.1007/978-3-030-82472-3_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-82471-6

  • Online ISBN: 978-3-030-82472-3

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