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International Conference on Asian Digital Libraries

ICADL 2020: Digital Libraries at Times of Massive Societal Transition pp 340–348Cite as

Domain-Focused Linked Data Crawling Driven by a Semantically Defined Frontier

A Cultural Heritage Case Study in Europeana

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12504))

Abstract

We propose a method for focused crawling of linked data with a frontier based on the semantic data elements in use within a knowledge domain. This method addresses the challenges of crawling large volumes of heterogeneous linked data, aiming to achieve improvements in crawling efficiency and accuracy. We present the results obtained by our method in a case study on the cultural heritage domain, more specifically on Europeana, the European Union digital platform for cultural heritage. We have evaluated the crawling method in two Europeana data providers that are publishing linked metadata with Schema.org elements. We conclude that the proposed focused crawling method worked well in the case study, but it may need to be complemented with complementary frontier delimiting strategies when applied to other domains.

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Notes

  1. 1.

    Defined by EDM as “This class includes the Cultural Heritage objects that Europeana collects descriptions about” [9].

  2. 2.

    We defined the knowledge base using the earlier work on alignment between EDM and Schema.org in both directions [11, 12] and also consulted the internal documentation of Europeana which contained additional updated information that is not yet publicly published.

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Acknowledgments

This work was partly supported by Portuguese national funds through Fundação para a Ciência e a Tecnologia (FCT) with reference UIDB/50021/2020.

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Authors and Affiliations

  1. INESC-ID, Lisbon, Portugal

    Nuno Freire & Mário J. Silva

  2. Universidade de Lisboa, Lisbon, Portugal

    Mário J. Silva

Authors
  1. Nuno Freire
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  2. Mário J. Silva
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Correspondence to Nuno Freire .

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Editors and Affiliations

  1. Kyushu University, Fukuoka, Japan

    Emi Ishita

  2. National University of Singapore, Singapore, Singapore

    Natalie Lee San Pang

  3. Wuhan University, Wuhan, China

    Lihong Zhou

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Freire, N., Silva, M.J. (2020). Domain-Focused Linked Data Crawling Driven by a Semantically Defined Frontier. In: Ishita, E., Pang, N.L.S., Zhou, L. (eds) Digital Libraries at Times of Massive Societal Transition. ICADL 2020. Lecture Notes in Computer Science(), vol 12504. Springer, Cham. https://doi.org/10.1007/978-3-030-64452-9_31

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  • DOI: https://doi.org/10.1007/978-3-030-64452-9_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-64451-2

  • Online ISBN: 978-3-030-64452-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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