---
_id: '45484'
abstract:
- lang: eng
  text: <jats:title>Abstract</jats:title><jats:p>Graffiti is an urban phenomenon that
    is increasingly attracting the interest of the sciences. To the best of our knowledge,
    no suitable data corpora are available for systematic research until now. The
    Information System Graffiti in Germany project (<jats:sc>Ingrid</jats:sc>) closes
    this gap by dealing with graffiti image collections that have been made available
    to the project for public use. Within <jats:sc>Ingrid</jats:sc>, the graffiti
    images are collected, digitized and annotated. With this work, we aim to support
    the rapid access to a comprehensive data source on <jats:sc>Ingrid</jats:sc> targeted
    especially by researchers. In particular, we present <jats:sc>Ingrid</jats:sc>KG,
    an RDF knowledge graph of annotated graffiti, abides by the Linked Data and FAIR
    principles. We weekly update <jats:sc>Ingrid</jats:sc>KG by augmenting the new
    annotated graffiti to our knowledge graph. Our generation pipeline applies RDF
    data conversion, link discovery and data fusion approaches to the original data.
    The current version of <jats:sc>Ingrid</jats:sc>KG contains 460,640,154 triples
    and is linked to 3 other knowledge graphs by over 200,000 links. In our use case
    studies, we demonstrate the usefulness of our knowledge graph for different applications.</jats:p>
article_number: '318'
author:
- first_name: Mohamed Ahmed
  full_name: Sherif, Mohamed Ahmed
  last_name: Sherif
- first_name: Ana Alexandra Morim
  full_name: da Silva, Ana Alexandra Morim
  last_name: da Silva
- first_name: Svetlana
  full_name: Pestryakova, Svetlana
  last_name: Pestryakova
- first_name: Abdullah Fathi
  full_name: Ahmed, Abdullah Fathi
  last_name: Ahmed
- first_name: Sven
  full_name: Niemann, Sven
  last_name: Niemann
- first_name: Axel-Cyrille Ngonga
  full_name: Ngomo, Axel-Cyrille Ngonga
  last_name: Ngomo
citation:
  ama: 'Sherif MA, da Silva AAM, Pestryakova S, Ahmed AF, Niemann S, Ngomo A-CN. IngridKG:
    A FAIR Knowledge Graph of Graffiti. <i>Scientific Data</i>. 2023;10(1). doi:<a
    href="https://doi.org/10.1038/s41597-023-02199-8">10.1038/s41597-023-02199-8</a>'
  apa: 'Sherif, M. A., da Silva, A. A. M., Pestryakova, S., Ahmed, A. F., Niemann,
    S., &#38; Ngomo, A.-C. N. (2023). IngridKG: A FAIR Knowledge Graph of Graffiti.
    <i>Scientific Data</i>, <i>10</i>(1), Article 318. <a href="https://doi.org/10.1038/s41597-023-02199-8">https://doi.org/10.1038/s41597-023-02199-8</a>'
  bibtex: '@article{Sherif_da Silva_Pestryakova_Ahmed_Niemann_Ngomo_2023, title={IngridKG:
    A FAIR Knowledge Graph of Graffiti}, volume={10}, DOI={<a href="https://doi.org/10.1038/s41597-023-02199-8">10.1038/s41597-023-02199-8</a>},
    number={1318}, journal={Scientific Data}, publisher={Springer Science and Business
    Media LLC}, author={Sherif, Mohamed Ahmed and da Silva, Ana Alexandra Morim and
    Pestryakova, Svetlana and Ahmed, Abdullah Fathi and Niemann, Sven and Ngomo, Axel-Cyrille
    Ngonga}, year={2023} }'
  chicago: 'Sherif, Mohamed Ahmed, Ana Alexandra Morim da Silva, Svetlana Pestryakova,
    Abdullah Fathi Ahmed, Sven Niemann, and Axel-Cyrille Ngonga Ngomo. “IngridKG:
    A FAIR Knowledge Graph of Graffiti.” <i>Scientific Data</i> 10, no. 1 (2023).
    <a href="https://doi.org/10.1038/s41597-023-02199-8">https://doi.org/10.1038/s41597-023-02199-8</a>.'
  ieee: 'M. A. Sherif, A. A. M. da Silva, S. Pestryakova, A. F. Ahmed, S. Niemann,
    and A.-C. N. Ngomo, “IngridKG: A FAIR Knowledge Graph of Graffiti,” <i>Scientific
    Data</i>, vol. 10, no. 1, Art. no. 318, 2023, doi: <a href="https://doi.org/10.1038/s41597-023-02199-8">10.1038/s41597-023-02199-8</a>.'
  mla: 'Sherif, Mohamed Ahmed, et al. “IngridKG: A FAIR Knowledge Graph of Graffiti.”
    <i>Scientific Data</i>, vol. 10, no. 1, 318, Springer Science and Business Media
    LLC, 2023, doi:<a href="https://doi.org/10.1038/s41597-023-02199-8">10.1038/s41597-023-02199-8</a>.'
  short: M.A. Sherif, A.A.M. da Silva, S. Pestryakova, A.F. Ahmed, S. Niemann, A.-C.N.
    Ngomo, Scientific Data 10 (2023).
date_created: 2023-06-06T09:12:39Z
date_updated: 2023-06-06T09:17:10Z
department:
- _id: '574'
- _id: '115'
doi: 10.1038/s41597-023-02199-8
intvolume: '        10'
issue: '1'
keyword:
- Library and Information Sciences
- Statistics
- Probability and Uncertainty
- Computer Science Applications
- Education
- Information Systems
- Statistics and Probability
language:
- iso: eng
project:
- _id: '104'
  grant_number: '289287267'
  name: 'INGRID: INGRID: Informationssystem Graffiti in Deutschland'
publication: Scientific Data
publication_identifier:
  issn:
  - 2052-4463
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: 'IngridKG: A FAIR Knowledge Graph of Graffiti'
type: journal_article
user_id: '6593'
volume: 10
year: '2023'
...