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Evaluating Some Heuristics to Find Hyponyms Between Ontologies

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Enterprise Information Systems (ICEIS 2019)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 378))

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Abstract

The discovery of hyponymy relationships between elements belonging to two different ontologies is a common task when integrating semantic information from different sources. Most of the existing work combines several strategies or criteria to take a global decision (if there is an hyponymy relationship or not) for each pair of entities. However, such heuristics are typically not separately evaluated.

In this paper, we evaluate two techniques used in the discovery of hyponymy relationships based on shared properties and on similar entity names. We also use translation dictionaries to deal with cross-lingual ontology pairs and lexical resources to increase the number of names of an entity. Our experiments make it possible to identify some limitations of ontology sets commonly used as benchmarks and to argue that more complex lexical similarity measures are needed.

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Notes

  1. 1.

    The numbering of the cases (e)–(g) is kept for historical reasons [15].

  2. 2.

    http://www.hermit-reasoner.com.

  3. 3.

    http://oaei.ontologymatching.org.

  4. 4.

    http://oaei.ontologymatching.org/2009/oriented.

  5. 5.

    http://oaei.ontologymatching.org/2011/oriented.

  6. 6.

    Not each number in the interval corresponds to an ontology, there are only 30 pairs.

  7. 7.

    http://github.com/audunve/COMPOSE-ReferenceAlignments.

  8. 8.

    http://bibliontology.com.

  9. 9.

    http://mowlrepo.cs.manchester.ac.uk/datasets/ore-2015-reasoner-competition-dataset.

  10. 10.

    http://www.w3.org/TR/owl-guide/wine.rdf.

  11. 11.

    http://webdiis.unizar.es/~ihvdis/evaluationHyponyms_Results.htm.

  12. 12.

    http://conceptnet.io.

  13. 13.

    http://translate.yandex.com.

  14. 14.

    http://wordnet.princeton.edu.

  15. 15.

    http://projects.csail.mit.edu/jwi.

References

  1. Arnold, P., Rahm, E.: Enriching ontology mappings with semantic relations. Data Knowl. Eng. 93, 1–18 (2014)

    Article  Google Scholar 

  2. Baader, F., Horrocks, I., Lutz, C., Sattler, U.: An Introduction to Description Logic. Cambridge University Press, Cambridge (2017)

    Book  Google Scholar 

  3. Beneventano, D., et al.: Information integration: the MOMIS project demonstration. In: Proceedings of the 26th International Conference on Very Large Data Bases (VLDB 2000), pp. 611–614 (2000)

    Google Scholar 

  4. Bobed, C., Bobillo, F., Mena, E., Pan, J.Z.: On serializable incremental semantic reasoners. In: Proceedings of the 9th International Conference on Knowledge Capture (K-CAP 2017), pp. 187–190. ACM (2017)

    Google Scholar 

  5. Bobed, C., Yus, R., Bobillo, F., Mena, E.: Semantic reasoning on mobile devices: do androids dream of efficient reasoners? J. Web Semant. 35(4), 167–183 (2015)

    Article  Google Scholar 

  6. Bobillo, F., Bobed, C., Mena, E.: On the generalization of the discovery of subsumption relationships to the fuzzy case. In: Proceedings of the 26th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017), pp. 1–6 (2017)

    Google Scholar 

  7. Bolsa-Marquina, M.: An intelligent system for the discovery of synonymy and hyponymy relationships across ontologies. Undergraduate thesis project, University of Zaragoza (2019)

    Google Scholar 

  8. Cheatham, M., Hitzler, P.: String similarity metrics for ontology alignment. In: Alani, H., et al. (eds.) ISWC 2013, Part II. LNCS, vol. 8219, pp. 294–309. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-41338-4_19

    Chapter  Google Scholar 

  9. Chua, W.W.K., Kim, J.J.: Discovering cross-ontology subsumption relationships by using ontological annotations on biomedical literature. In: Proceedings of the 3rd International Conference on Biomedical Ontology (ICBO 2012), CEUR Workshop Proceedings, vol. 897 (2012)

    Google Scholar 

  10. Ehrig, M.: Ontology Alignment: Bridging the Semantic Gap. Semantic Web and Beyond, vol. 4. Springer, New York (2007). https://doi.org/10.1007/978-0-387-36501-5

    Book  Google Scholar 

  11. Euzenat, J., Shvaiko, P.: Ontology Matching, 2nd edn. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-38721-0

    Book  MATH  Google Scholar 

  12. Evans, M.C., Bhatia, J., Wadkar, S., Breaux, T.D.: An evaluation of constituency-based hyponymy extraction from privacy policies. In: Proceedings of the 25th IEEE International Requirements Engineering Conference (RE 2017), pp. 312–321 (2017)

    Google Scholar 

  13. Glimm, B., Horrocks, I., Motik, B., Stoilos, G., Wang, Z.: HermiT: an OWL 2 reasoner. J. Autom. Reason. 53(3), 245–269 (2014)

    Article  Google Scholar 

  14. Gracia, J., Asooja, K.: Monolingual and cross-lingual ontology matching with CIDER-CL: evaluation report for OAEI 2013. In: Proceedings of the 8th International Workshop on Ontology Matching (OM 2013), CEUR Workshop Proceedings, vol. 1111, pp. 109–116 (2013)

    Google Scholar 

  15. Huitzil, I., Bobillo, F., Mena, E., Bobed, C., Bermúdez, J.: Some reflections on the discovery of hyponyms between ontologies. In: Proceedings of the 21st International Conference on Enterprise Information Systems (ICEIS 2019), vol. 2, pp. 130–140. SCITEPRESS (2019)

    Google Scholar 

  16. Kamel, M., Schmidt, D., Trojahn, C., Vieira, R.: Exploiting BabelNet for generating subsumption. In: Proceedings of the 13th International Workshop on Ontology Matching (OM 2018), CEUR-WS: Workshop Proceedings, vol. 2288, pp. 216–217 (2018)

    Google Scholar 

  17. Kamel, M., Schmidt, D., Trojahn, C., Vieira, R.: Hypernym relation extraction for establishing subsumptions: preliminary results on matching foundational ontologies. In: Proceedings of the 14th International Workshop on Ontology Matching (OM 2019) (2019)

    Google Scholar 

  18. Kang, D., Lu, J., Xu, B., Wang, P., Li, Y.: A framework of checking subsumption relations between composite concepts in different ontologies. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds.) KES 2005. LNCS (LNAI), vol. 3681, pp. 953–959. Springer, Heidelberg (2005). https://doi.org/10.1007/11552413_136

    Chapter  Google Scholar 

  19. Lambrix, P., Ivanova, V.: A unified approach for debugging is-a structure and mappings in networked taxonomies. J. Biomed. Semant. 4, 10 (2013)

    Article  Google Scholar 

  20. Lambrix, P., Liu, Q.: Debugging the missing is-a structure within taxonomies networked by partial reference alignments. Data Knowl. Eng. 86, 179–205 (2013)

    Article  Google Scholar 

  21. Lambrix, P., Wei-Kleiner, F., Dragisic, Z.: Completing the is-a structure in light-weight ontologies. J. Biomed. Semant. 6, 12 (2015)

    Article  Google Scholar 

  22. Miller, G., Beckwith, R., Fellbaum, C., Gross, D., Miller, K.: WordNet: an online lexical database. Int. J. Lexicogr. 3, 235–244 (1990)

    Article  Google Scholar 

  23. Movshovitz-Attias, D., Whang, S.E., Noy, N., Halevy, A.: Discovering subsumption relationships for web-based ontologies. In: Proceedings of the 18th International Workshop on Web and Databases (WebDB 2015), pp. 62–69 (2015). https://doi.org/10.1145/2767109.2767111

  24. Navigli, R., Ponzetto, S.P.: BabelNet: the automatic construction, evaluation and application of a wide-coverage multilingual semantic network. Artif. Intell. 193, 217–250 (2012)

    Article  MathSciNet  Google Scholar 

  25. Oberle, D., et al.: DOLCE ergo SUMO: on foundational and domain models in SWIntO (smartweb integrated ontology) (2007)

    Google Scholar 

  26. Sabou, M., d’Aquin, M., Motta, E.: SCARLET: semantic relation discovery by harvesting online ontologies. In: Bechhofer, S., Hauswirth, M., Hoffmann, J., Koubarakis, M. (eds.) ESWC 2008. LNCS, vol. 5021, pp. 854–858. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-68234-9_72

    Chapter  Google Scholar 

  27. Sirin, E., Parsia, B., Cuenca-Grau, B., Kalyanpur, A., Katz, Y.: Pellet: a practical OWL-DL reasoner. J. Web Semant. 5(2), 51–53 (2007)

    Article  Google Scholar 

  28. Spiliopoulos, V., Valarakos, A.G., Vouros, G.A.: CSR: discovering subsumption relations for the alignment of ontologies. In: Bechhofer, S., Hauswirth, M., Hoffmann, J., Koubarakis, M. (eds.) ESWC 2008. LNCS, vol. 5021, pp. 418–431. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-68234-9_32

    Chapter  Google Scholar 

  29. Staab, S., Studer, R. (eds.): Handbook on Ontologies. IHIS, 2nd edn. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-540-92673-3

    Book  MATH  Google Scholar 

  30. Steigmiller, A., Liebig, T., Glimm, B.: Konclude: system description. J. Web Semant. 27–28, 78–85 (2014)

    Article  Google Scholar 

  31. Tettamanzi, A.G.B., Faron-Zucker, C., Gandon, F.: Possibilistic testing of OWL axioms against RDF data. Int. J. Approximate Reasoning 91, 114–130 (2017)

    Article  MathSciNet  Google Scholar 

  32. Tournaire, R., Petit, J., Rousset, M., Termier, A.: Discovery of probabilistic mappings between taxonomies: principles and experiments. J. Data Semant. 15, 66–101 (2011)

    Article  Google Scholar 

  33. Vennesland, A.: Matcher composition for identification of subsumption relations in ontology matching. In: Proceedings of the 2017 International Conference on Web Intelligence (WI 2017), pp. 154–161. ACM (2017)

    Google Scholar 

  34. Yus, R., Mena, E., Solano-Bes, E.: Generic rules for the discovery of subsumption relationships based on ontological contexts. In: Proceedings of the 2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2015), vol. I, pp. 309–312. IEEE (2015)

    Google Scholar 

  35. Zong, N., Nam, S., Eom, J.H., Ahn, J., Joe, H., Kim, H.G.: Aligning ontologies with subsumption and equivalence relations in linked data. Knowl.-Based Syst. 76, 30–41 (2015)

    Article  Google Scholar 

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Acknowledgment

We were partially supported by the projects TIN2016-78011-C4-3-R (AEI/ FEDER, UE), JIUZ-2018-TEC-02 (Fundación Ibercaja y Universidad de Zaragoza), and DGA/FEDER. I. Huitzil was partially funded by Universidad de Zaragoza - Santander Universidades (Ayudas de Movilidad para Latinoamericanos - Estudios de Doctorado). We are also grateful to Miguel Bolsa for some help with the implementation of the interface with the dictionaries and WordNet.

Author information

Authors and Affiliations

  1. University of Zaragoza, Zaragoza, Spain

    Ignacio Huitzil, Fernando Bobillo, Eduardo Mena & Carlos Bobed

  2. Aragon Institute of Engineering Research (I3A), Zaragoza, Spain

    Fernando Bobillo & Eduardo Mena

  3. everis/NTT Data, Zaragoza, Spain

    Carlos Bobed

  4. University of the Basque Country (UPV/EHU), Donostia-San Sebastián, Spain

    Jesús Bermúdez

Authors
  1. Ignacio Huitzil
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  2. Fernando Bobillo
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  3. Eduardo Mena
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  4. Carlos Bobed
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  5. Jesús Bermúdez
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Corresponding author

Correspondence to Ignacio Huitzil .

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Editors and Affiliations

  1. INSTICC and Polytechnic Institute of Setúbal, Setúbal, Portugal

    Joaquim Filipe

  2. Warsaw University of Technology, Warsaw, Poland

    Michał Śmiałek

  3. George Mason University, Fairfax, VA, USA

    Alexander Brodsky

  4. MODESTE/ESEO, Angers, France

    Slimane Hammoudi

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Huitzil, I., Bobillo, F., Mena, E., Bobed, C., Bermúdez, J. (2020). Evaluating Some Heuristics to Find Hyponyms Between Ontologies. In: Filipe, J., Śmiałek, M., Brodsky, A., Hammoudi, S. (eds) Enterprise Information Systems. ICEIS 2019. Lecture Notes in Business Information Processing, vol 378. Springer, Cham. https://doi.org/10.1007/978-3-030-40783-4_13

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  • DOI: https://doi.org/10.1007/978-3-030-40783-4_13

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