---
_id: '61210'
abstract:
- lang: eng
  text: Knowledge graphs (KGs) differ significantly over multiple different versions
    of the same data source. They also often contain blank nodes that do not have
    a constant identifier over all versions. Linking such blank nodes from different
    versions is a challenging task. Previous works propose different approaches to
    create signatures for all blank nodes based on named nodes in their neighborhood
    to match blank nodes with similar signatures. However, these works struggle to
    find a good mapping when the difference between the KGs’ versions grows too large.
    In this work, we propose Blink, an embedding-based approach for blank node linking.
    Blink merges two KGs’ versions and embeds the merged graph into a latent vector
    space based on translational embeddings and subsequently matches the closest pairs
    of blank nodes from different graphs. We evaluate our approach using real-world
    datasets against state-of-the-art approaches by computing the blank node matching
    for isomorphic graphs and graphs that contain triple changes (i.e., added or removed
    triples). The results indicate that Blink achieves perfect accuracy for isomorphic
    graphs. For graph versions that contain changes, such as having up to 20% of triples
    removed in one version, Blink still produces a mapping with an Optimal Mapping
    Deviation Ratio of under 1%. These results show that Blink leads to a better linking
    of KGs over different versions and similar graphs adhering to the linked data
    guidelines.
author:
- first_name: Alexander
  full_name: Becker, Alexander
  last_name: Becker
- first_name: Mohamed
  full_name: Sherif, Mohamed
  id: '67234'
  last_name: Sherif
  orcid: https://orcid.org/0000-0002-9927-2203
- first_name: Axel-Cyrille
  full_name: Ngonga Ngomo, Axel-Cyrille
  id: '65716'
  last_name: Ngonga Ngomo
citation:
  ama: 'Becker A, Sherif M, Ngonga Ngomo A-C. Blink: Blank Node Matching Using Embeddings.
    In: <i>Lecture Notes in Computer Science</i>. Springer Nature Switzerland; 2024.
    doi:<a href="https://doi.org/10.1007/978-3-031-77844-5_12">10.1007/978-3-031-77844-5_12</a>'
  apa: 'Becker, A., Sherif, M., &#38; Ngonga Ngomo, A.-C. (2024). Blink: Blank Node
    Matching Using Embeddings. In <i>Lecture Notes in Computer Science</i>. ISWC 2024: :
    The 23ed International Semantic Web Conference, Baltimore, USA. Springer Nature
    Switzerland. <a href="https://doi.org/10.1007/978-3-031-77844-5_12">https://doi.org/10.1007/978-3-031-77844-5_12</a>'
  bibtex: '@inbook{Becker_Sherif_Ngonga Ngomo_2024, place={Cham}, title={Blink: Blank
    Node Matching Using Embeddings}, DOI={<a href="https://doi.org/10.1007/978-3-031-77844-5_12">10.1007/978-3-031-77844-5_12</a>},
    booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
    author={Becker, Alexander and Sherif, Mohamed and Ngonga Ngomo, Axel-Cyrille},
    year={2024} }'
  chicago: 'Becker, Alexander, Mohamed Sherif, and Axel-Cyrille Ngonga Ngomo. “Blink:
    Blank Node Matching Using Embeddings.” In <i>Lecture Notes in Computer Science</i>.
    Cham: Springer Nature Switzerland, 2024. <a href="https://doi.org/10.1007/978-3-031-77844-5_12">https://doi.org/10.1007/978-3-031-77844-5_12</a>.'
  ieee: 'A. Becker, M. Sherif, and A.-C. Ngonga Ngomo, “Blink: Blank Node Matching
    Using Embeddings,” in <i>Lecture Notes in Computer Science</i>, Cham: Springer
    Nature Switzerland, 2024.'
  mla: 'Becker, Alexander, et al. “Blink: Blank Node Matching Using Embeddings.” <i>Lecture
    Notes in Computer Science</i>, Springer Nature Switzerland, 2024, doi:<a href="https://doi.org/10.1007/978-3-031-77844-5_12">10.1007/978-3-031-77844-5_12</a>.'
  short: 'A. Becker, M. Sherif, A.-C. Ngonga Ngomo, in: Lecture Notes in Computer
    Science, Springer Nature Switzerland, Cham, 2024.'
conference:
  end_date: 2024-11-15
  location: Baltimore, USA
  name: 'ISWC 2024: : The 23ed International Semantic Web Conference'
  start_date: 2024-11-11
date_created: 2025-09-11T10:19:47Z
date_updated: 2025-09-11T10:34:02Z
department:
- _id: '574'
doi: 10.1007/978-3-031-77844-5_12
language:
- iso: eng
main_file_link:
- url: https://papers.dice-research.org/2024/ISWC_BLINK/public.pdf
place: Cham
project:
- _id: '285'
  name: SAIL - Nachhaltiger Lebenszyklus von intelligenten soziotechnischen Systemen
publication: Lecture Notes in Computer Science
publication_identifier:
  isbn:
  - '9783031778438'
  - '9783031778445'
  issn:
  - 0302-9743
  - 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: 'Blink: Blank Node Matching Using Embeddings'
type: book_chapter
user_id: '67234'
year: '2024'
...