Skip to main content

User-Driven Ontology Population from Linked Data Sources

  • Conference paper
  • First Online:
Knowledge Engineering and Semantic Web (KESW 2016)


In order for ontology-based applications to be deployed in real-life scenarios, significant volumes of data are required to populate the underlying models. Populating ontologies manually is a time-consuming and error-prone task and, thus, research has shifted its attention to automatic ontology population methodologies. However, the majority of the proposed approaches and tools focus on analysing natural language text and often neglect other more appropriate sources of information, such as the already structured and semantically rich sets of Linked Data. The paper presents PROPheT, a novel ontology population tool for retrieving instances from Linked Data sources and subsequently inserting them into an OWL ontology. The tool, to the best of our knowledge, offers entirely novel ontology population functionality to a great extent and has already been positively received according to user evaluation.

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

Access this chapter

USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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


  1. 1.

    The tool has been developed in the context of the PERICLES FP7 project:

  2. 2.

  3. 3.

  4. 4.

  5. 5.

    List of SPARQL endpoints available at

  6. 6.

    dbo is the prefix for a specific DBpedia URI, that is

  7. 7.

    The search process offers options such as Exact match, Contains term and case sensitivity.

  8. 8.

  9. 9.

    The exact entry in LinkedMDB is

  10. 10.

    Name of instance was retrieved from instance of “The Godfather” movie in LinkedMDB.

  11. 11.

  12. 12.

  13. 13.


  1. Stephan, G.S., Pascal, H.S., Andreas, A.S.: Knowledge representation and ontologies. In: Studer, R., Grimm, S., Abecker, A. (eds.) Semantic Web Services: Concepts, Technologies, and Applications, pp. 51–105. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  2. Buitelaar, P., Cimiano, P.: Ontology Learning and Population: Bridging the Gap Between Text and Knowledge, vol. 167. Ios Press, Amsterdam (2008)

    MATH  Google Scholar 

  3. Petasis, G., Karkaletsis, V., Paliouras, G., Krithara, A., Zavitsanos, E.: Ontology population and enrichment: state of the art. In: Paliouras, G., Spyropoulos, C.D., Tsatsaronis, G. (eds.) Multimedia Information Extraction. LNCS, vol. 6050, pp. 134–166. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  4. Bizer, C., Heath, T., Idehen, K., Berners-Lee, T.: Linked data on the web (LDOW2008). In: Proceedings of 17th International Conference on World Wide Web, pp. 1265–1266. ACM, April 2008

    Google Scholar 

  5. Ghawi, R., Cullot, N.: Database-to-ontology mapping generation for semantic interoperability. In: VLDB 2007 Conference, VLDB Endowment, Vienna, Austria, pp. 1–8. ACM (2007)

    Google Scholar 

  6. Zhao, L., Ichise, R.: Mid-ontology learning from linked data. In: Pan, J.Z., Chen, H., Kim, H.-G., Li, J., Wu, Z., Horrocks, I., Mizoguchi, R., Wu, Z. (eds.) JIST 2011. LNCS, vol. 7185, pp. 112–127. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  7. Gavankar, C., Kulkarni, A., Fang Li, Y., Ramakrishnan, G.: Enriching an academic knowledge base using linked open data. In: Proceedings of Workshop on Speech and Language Processing Tools in Education in 24th International Conference on Computational Linguistics, pp. 51–60 (2012)

    Google Scholar 

  8. Maynard, D., Funk, A., Peters, W.: SPRAT: a tool for automatic semantic pattern-based ontology population. In: International Conference for Digital Libraries and the Semantic Web, Trento, Italy (2009)

    Google Scholar 

  9. Velardi, P., Navigli, R., Missikoff, M.: Integrated approach for web ontology learning and engineering. IEEE Comput. 35(11), 60–63 (2002)

    Article  MATH  Google Scholar 

  10. Han, L., Finin, T.W., Parr, C.S., Sachs, J., Joshi, A.: RDF123: from spreadsheets to RDF. In: Sheth, A.P., Staab, S., Dean, M., Paolucci, M., Maynard, D., Finin, T., Thirunarayan, K. (eds.) ISWC 2008. LNCS, vol. 5318, pp. 451–466. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  11. Modica, G.A., Gal, A., Jamil, H.M.: The use of machine-generated ontologies in dynamic information seeking. In: Batini, C., Giunchiglia, F., Giorgini, P., Mecella, M. (eds.) CoopIS 2001. LNCS, vol. 2172, pp. 433–447. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  12. Miles, A., Bechhofer, S.: SKOS simple knowledge organization system reference. In: W3C recommendation, 18, W3C (2009)

    Google Scholar 

  13. Brooke, J.: SUS-a quick and dirty usability scale. Usability Eval. Indus. 189(194), 4–7 (1996)

    Google Scholar 

Download references


This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no. 601138.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Efstratios Kontopoulos .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Mitzias, P. et al. (2016). User-Driven Ontology Population from Linked Data Sources. In: Ngonga Ngomo, AC., Křemen, P. (eds) Knowledge Engineering and Semantic Web. KESW 2016. Communications in Computer and Information Science, vol 649. Springer, Cham.

Download citation

  • DOI:

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45879-3

  • Online ISBN: 978-3-319-45880-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics