Skip to main content
SpringerLink
Log in

Entity Typing and Linking Using SPARQL Patterns and DBpedia

  • Conference paper
  • First Online:
Semantic Web Challenges (SemWebEval 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 641))

Included in the following conference series:

Abstract

The automatic extraction of entities and their types from text, coupled with entity linking to LOD datasets, are fundamental challenges for the evolution of the Semantic Web. In this paper, we describe an approach to automatically process natural language definitions to (a) extract entity types and (b) align those types to the DOLCE+DUL ontology. We propose SPARQL patterns based on recurring dependency representations between entities and their candidate types. For the alignment subtask, we essentially rely on a pipeline of strategies that exploit the DBpedia knowledge base and we discuss some limitations of DBpedia in this context.

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 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

Notes

  1. 1.

    http://westlab.polymtl.ca/OkeTask2/rest/annotate/post.

  2. 2.

    https://github.com/anuzzolese/oke-challenge-2016/blob/master/GoldStandard_sampleData/task2/dataset_task_2.ttl.

  3. 3.

    https://github.com/anuzzolese/oke-challenge-2016#task-2.

  4. 4.

    http://gerbil.aksw.org/gerbil.

References

  1. OKE 2015 Challenge Description. https://github.com/anuzzolese/oke-challenge/blob/master/participating%20systems/OKE2015_challengeDescription.pdf. Accessed 20 Mar 2016

  2. Nadeau, D., Sekine, S.: A survey of named entity recognition and classification. Lingvist. Investig. 30(1), 3–26 (2007)

    Article  Google Scholar 

  3. Hearst, M.A.: Automatic acquisition of hyponyms from large text corpora (1992)

    Google Scholar 

  4. Min, B., Shi, S., Grishman, R., Lin, C.Y.: Ensemble semantics for large-scale unsupervised relation extraction. In: 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, pp. 1027–1037. Association for Computational Linguistics (2012)

    Google Scholar 

  5. Mintz, M., Bills, S., Snow, R., Jurafsky, D.: Distant supervision for relation extraction without labeled data. In: Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL, pp. 1003–1011. ACL, Association for Computational Linguistics (2009)

    Google Scholar 

  6. Otero-Cerdeira, L., Rodriguez-Martinez, F.J., Gomez-Rodriguez, A.: Ontology matching: a literature review. Expert Syst. Appl. 42(2), 949–971 (2015)

    Article  Google Scholar 

  7. Bizer, C., Heath, T., Ayers, D., Raimond, Y.: Interlinking open data on the web. Media 79(1), 31–35 (2007)

    Google Scholar 

  8. Giunchiglia, F., Shvaiko, P., Yatskevich, M.: Discovering missing background knowledge in ontology matching. In: Proceedings of the 2006 Conference on ECAI 2006: 17th European Conference on Artificial Intelligence, pp. 382–386. IOS Press (2006)

    Google Scholar 

  9. Kachroudi, M., Moussa, E.B., Zghal, S., Ben, S.: Ldoa results for OAEI 2011. In: Ontology Matching, p. 148 (2011)

    Google Scholar 

  10. Röder, M., Usbeck, R., Ngonga Ngomo, A.: CETUS - a baseline approach to type extraction. In: OKE Challenge 2015 Co-located with the 12th Extended Semantic Web Conference (ESWC) (2015)

    Google Scholar 

  11. Gao, J., Mazumdar, S.: Exploiting linked open data to uncover entity types. In: OKE Challenge 2015 Co-located with the 12th Extended Semantic Web Conference (ESWC) (2015)

    Google Scholar 

  12. Consoli, S., Reforgiato, D.: Using FRED for named entity resolution, linking and typing for knowledge base population. In: OKE Challenge 2015 Co-located with the 12th Extended Semantic Web Conference (ESWC) (2015)

    Google Scholar 

  13. Bos, J.: Wide-coverage semantic analysis with boxer. In: Bos, J., Delmonte, R. (eds.) Semantics in Text Processing, pp. 277–286. College Publications (2008)

    Google Scholar 

  14. Ontology Design Patterns (2014). http://ontologydesignpatterns.org/ont/dbpedia_2014_imports.owl. Accessed 20 Mar 2016

  15. CETUS. DolCE_YAGO_mapping (2015). http://github.com/AKSW/Cetus/blob/master/DOLCE_YAGO_links.nt. Accessed 20 Mar 2016

  16. Font, L., Zouaq, A., Gagnon, M.: Assessing the quality of domain concepts description in DBpedia. In: 11th International Conference on Signal-Image Technology and Internet-Based Systems, pp. 254–261. IEEE (2015)

    Google Scholar 

  17. De Marneffe, M-C., Manning, C.D.: The stanford typed dependencies representation. In: Proceedings of the Workshop on Cross-Framework and Cross-Domain Parser Evaluation, ACL (2008)

    Google Scholar 

  18. Usbeck, R., Röder, M., Ngonga Ngomo, A.-C., Baron, C., Both, A., Brümmer, M., Ceccarelli, D., Cornolti, M., Cherix, D., Eickmann, B., Ferragina, P., Lemke, C., Moro, A., Navigli, R., Piccinno, F., Rizzo, G., Sack, H., Speck, R., Troncy, R., Waitelonis, Jö., Wesemann, L.: GERBIL – General Entity Annotation Benchmark Framework. In: 24th WWW Conference (2015)

    Google Scholar 

  19. Faralli, S., Ponzetto, S.: DWS at the 2016 open knowledge extraction challenge: a hearst-like pattern-based approach to hypernym extraction and class induction. In: OKE Challenge 2016 Co-located with the 13th Extended Semantic Web Conference (ESWC) (2016)

    Google Scholar 

Download references

Acknowledgement

This research has been funded by the NSERC Discovery Grant Program.

Author information

Authors and Affiliations

  1. Department of Computer and Software Engineering, Ecole Polytechnique de Montreal, Montreal, Canada

    Lara Haidar-Ahmad, Ludovic Font, Amal Zouaq & Michel Gagnon

  2. School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Canada

    Amal Zouaq

Authors
  1. Lara Haidar-Ahmad
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ludovic Font
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Amal Zouaq
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Michel Gagnon
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Michel Gagnon .

Editor information

Editors and Affiliations

  1. IT Systems Engineering, Hasso-Plattner Institute, Potsdam, Germany

    Harald Sack

  2. Leibniz Universität Hannover , Hannover, Germany

    Stefan Dietze

  3. Elsevier B.V. , Amsterdem, The Netherlands

    Anna Tordai

  4. Universität Bonn , Bonn, Germany

    Christoph Lange

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Haidar-Ahmad, L., Font, L., Zouaq, A., Gagnon, M. (2016). Entity Typing and Linking Using SPARQL Patterns and DBpedia. In: Sack, H., Dietze, S., Tordai, A., Lange, C. (eds) Semantic Web Challenges. SemWebEval 2016. Communications in Computer and Information Science, vol 641. Springer, Cham. https://doi.org/10.1007/978-3-319-46565-4_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-46565-4_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46564-7

  • Online ISBN: 978-3-319-46565-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation