Skip to main content
SpringerLink
Log in

Construction and Leverage Scientific Knowledge Graphs by Means of Semantic Technologies

  • Conference paper
  • First Online:
Systems and Information Sciences (ICCIS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1273))

Included in the following conference series:

  • 758 Accesses

Abstract

Scientific production is a key issue in the assessment of universities’ research. Due to the information overload in the publishing domain, it is increasingly difficult for experts, and decision-makers to find relevant information to carry out their research or management tasks. To address this problem, Knowledge Graphs are used to explore and connect publishing sources by increasing their value. In this paper, the authors propose a process to construct a scientific knowledge graph based-on publications’ metadata. A case study implemented in a given university is explained. Finally, some visual representations are created from results returned by SPARQL queries. Thus, people will find relationships and patterns underlying scholarly production.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    www.sparontologies.net.

  2. 2.

    bibliontology.com.

  3. 3.

    www.openacademic.ai/oag/.

  4. 4.

    http://www.scholarlydata.org.

  5. 5.

    https://opencitations.net.

  6. 6.

    http://ma-graph.org.

  7. 7.

    http://spar.linkeddata.es/sparql.

  8. 8.

    The technical report is available in https://archive.org/services/purl/scipub/queryReport.

References

  1. Auer, S., Mann, S.: Towards an open research knowledge graph. Ser. Libr. 76(1–4), 35–41 (2019). https://doi.org/10.1080/0361526X.2019.1540272

    Article  Google Scholar 

  2. Buscaldi, D., Dessì, D., Motta, E., Osborne, F., Reforgiato Recupero, D.: Mining scholarly publications for scientific knowledge graph construction. Lecture Notes in Computer Science. vol. 11762, pp. 8–12. Springer, June 2019. https://doi.org/10.1007/978-3-030-32327-1_2

  3. CACES: Modelo genérico de evaluación del entorno de aprendizaje de carreras en Ecuador (2017)

    Google Scholar 

  4. Constantopoulos, P., Pertsas, V.: From publications to knowledge graphs. In: Communications in Computer and Information Science. CCIS, vol. 1197, pp. 18–33. Springer (2020). https://doi.org/10.1007/978-3-030-44900-1_2

  5. Edelstein, E., Pan, J.Z., Soares, R., Wyner, A.: Knowledge-driven intelligent survey systems towards open science. New Gener. Comput. (2020). https://doi.org/10.1007/s00354-020-00087-y

  6. Färber, M.: The Microsoft academic knowledge graph: a linked data source with 8 billion triples of scholarly data. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). LNCS, vol. 11779, pp. 113–129. Springer (2019). https://doi.org/10.1007/978-3-030-30796-7_8

  7. Omitola, T., Koumenides, C.L., Popov, I.O., Yang, Y., Salvadores, M., Correndo, G., Hall, W., Shadbolt, N.: Integrating public datasets using linked data: challenges and design principles. In: Future Internet Assembly Future Internet Assembly, pp. 1–10 (2010)

    Google Scholar 

  8. Papadaki, M.E., Tzitzikas, Y., Spyratos, N.: Analytics over RDF graphs. In: Communications in Computer and Information Science. CCIS, vol. 1197, pp. 37–52. Springer (2020). https://doi.org/10.1007/978-3-030-44900-1_3

  9. Peroni, S., Shotton, D.: FaBiO and CiTO: ontologies for describing bibliographic resources and citations. J. Web Semant.: Sci. Serv. Agents World Wide Web 17, 1–15 (2012)

    Article  Google Scholar 

  10. Peroni, S., Shotton, D.: The SPAR ontologies. In: 17th International Semantic Web Conference, pp. 119–136 (2018)

    Google Scholar 

  11. Piedra Salomón, Y., Martínez Rodríguez, A.: Scientific production. Ciencias de la Información 38(3), 33–38 (2007)

    Google Scholar 

  12. Suarez-Figueroa, M.D.C.: NeOn methodology for building ontology networks: specification, scheduling and reuse. Ph.D. thesis (2010)

    Google Scholar 

  13. Tapia-Leon, M., Chicaiza Espinosa, J., Espinoza Arias, P., Santana-Perez, I., Corcho, O.: Using the SPAR ontology network to represent the scientific production of a university: a case study. In: 7th World Conference on Information Systems and Technologies (2019)

    Google Scholar 

  14. Tapia-Leon, M., Santana-Perez, I., Poveda-Villalón, M., Espinoza Arias, P., Chicaiza, J., Corcho, O.: Extension of the BiDO ontology to represent scientific production. In: 8th International Conference on Educational and Information Technology (2019)

    Google Scholar 

  15. Zou, X.: A survey on application of knowledge graph. In: Journal of Physics: Conference Series, vol. 1487 (2020)

    Google Scholar 

Download references

Acknowledgement

This work was partially supported by the scholarship provided by the “Secretaría Nacional de Educación Superior, Ciencia y Tecnología” of Ecuador (SENESCyT).

Author information

Authors and Affiliations

  1. Univesidad de Guayaquil, Guayaquil, Ecuador

    Teresa Santamaria & Mariela Tapia-Leon

  2. Universidad Técnica Particular de Loja, Loja, Ecuador

    Janneth Chicaiza

Authors
  1. Teresa Santamaria
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mariela Tapia-Leon
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Janneth Chicaiza
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Janneth Chicaiza .

Editor information

Editors and Affiliations

  1. Eindhoven University of Technology, Eindhoven, Noord-Brabant, The Netherlands

    Miguel Botto-Tobar

  2. Universidad Laica Eloy Alfaro de Manabí, Manta - Manabí, Ecuador

    Willian Zamora

  3. Universidad Laica Eloy Alfaro de Manabí, Manta - Manabí, Ecuador

    Johnny Larrea Plúa

  4. Universidad Laica Eloy Alfaro de Manabí, Manta - Manabí, Ecuador

    José Bazurto Roldan

  5. Universidad Laica Eloy Alfaro de Manabí, Manta - Manabí, Ecuador

    Alex Santamaría Philco

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Santamaria, T., Tapia-Leon, M., Chicaiza, J. (2021). Construction and Leverage Scientific Knowledge Graphs by Means of Semantic Technologies. In: Botto-Tobar, M., Zamora, W., Larrea Plúa, J., Bazurto Roldan, J., Santamaría Philco, A. (eds) Systems and Information Sciences. ICCIS 2020. Advances in Intelligent Systems and Computing, vol 1273. Springer, Cham. https://doi.org/10.1007/978-3-030-59194-6_37

Download citation

Publish with us

Policies and ethics

Search

Navigation