Skip to main content

A Graph-Based Method for Interactive Mapping Revision

  • Conference paper
  • First Online:
Semantic Technology (JIST 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11341))

Included in the following conference series:

  • 902 Accesses

Abstract

Discovering semantic relations between heterogeneous ontologies is one of the key research topics in the Semantic Web. As the matching strategies adopted are largely heuristic, wrong mappings often exist in alignments generated by ontology matching systems. The mainstream methods for mapping revision deal with logical inconsistencies, so erroneous mappings not causing an inconsistency may be left out. Therefore, manual validations from domain experts are required. In this paper, we propose a graph-based method for interactive mapping revision with the purpose of reducing manual efforts as much as possible. Source ontologies are encoded into an integrated graph, where its mapping arcs are obtained by transforming mappings and will be evaluated by the expert. We specify the decision space for mapping revision and the corresponding operations that can be applied in the graph. After a human decision is made in each interaction, the mappings entailed by the manually confirmed ones are automatically approved. Conversely, those that would entail the rejected mappings or make the graph incoherent are declined. The whole update process modeled in the decision space can be done in polynomial time. Moreover, we define an impact function based on the integrated graph to identify the most influential mappings that will be displayed to the expert. In this way, the efforts of manual evaluation could be reduced further. The experiment on real-world ontology alignments shows that our method can save more decisions made by the expert than other revisions in most cases.

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

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Similar content being viewed by others

Notes

  1. 1.

    http://owlapi.sourceforge.net/.

  2. 2.

    http://oaei.ontologymatching.org/.

References

  1. Otero-Cerdeira, L., Rodríguez-Martínez, F.J., Gómez-Rodríguez, A.: Ontology matching: a literature review. Expert Syst. Appl. 42(2), 949–971 (2015)

    Article  Google Scholar 

  2. Meilicke, C.: Alignment incoherence in ontology matching. Ph.D. thesis, Universitätsbibliothek Mannheim (2011)

    Google Scholar 

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

    Book  MATH  Google Scholar 

  4. Jiménez-Ruiz, E., Cuenca Grau, B.: LogMap: logic-based and scalable ontology matching. In: Aroyo, L., et al. (eds.) ISWC 2011. LNCS, vol. 7031, pp. 273–288. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-25073-6_18

    Chapter  Google Scholar 

  5. Santos, E., Faria, D., Pesquita, C., Couto, F.M.: Ontology alignment repair through modularization and confidence-based heuristics. PloS ONE 10(12), 1–19 (2015)

    Google Scholar 

  6. Castano, S., Ferrara, A., Lorusso, D., Näth, T.H., Möller, R.: Mapping validation by probabilistic reasoning. In: Bechhofer, S., Hauswirth, M., Hoffmann, J., Koubarakis, M. (eds.) ESWC 2008. LNCS, vol. 5021, pp. 170–184. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-68234-9_15

    Chapter  Google Scholar 

  7. Noessner, J., Niepert, M.: ELOG: a probabilistic reasoner for OWL EL. In: Rudolph, S., Gutierrez, C. (eds.) RR 2011. LNCS, vol. 6902, pp. 281–286. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-23580-1_25

    Chapter  Google Scholar 

  8. Qi, G., Ji, Q., Haase, P.: A conflict-based operator for mapping revision. In: Bernstein, A., et al. (eds.) ISWC 2009. LNCS, vol. 5823, pp. 521–536. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-04930-9_33

    Chapter  Google Scholar 

  9. Solimando, A., Jiménez-Ruiz, E., Guerrini, G.: Minimizing conservativity violations in ontology alignments: algorithms and evaluation. Knowl. Inf. Syst. 51(3), 775–819 (2017)

    Article  Google Scholar 

  10. Jiménez-Ruiz, E., Cuenca Grau, B., Horrocks, I., Berlanga, R.: Ontology integration using mappings: towards getting the right logical consequences. In: Aroyo, L., et al. (eds.) ESWC 2009. LNCS, vol. 5554, pp. 173–187. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-02121-3_16

    Chapter  Google Scholar 

  11. Jiménez-Ruiz, E., Payne, T.R., Solimando, A., Tamma, V.A.M.: Limiting logical violations in ontology alignnment through negotiation. In: KR, pp. 217–226. AAAI Press (2016)

    Google Scholar 

  12. Euzenat, J.: Interaction-based ontology alignment repair with expansion and relaxation. In: IJCAI, pp. 185–191. AAAI Press (2017)

    Google Scholar 

  13. Dragisic, Z., Ivanova, V., Lambrix, P., Faria, D., Jiménez-Ruiz, E., Pesquita, C.: User validation in ontology alignment. In: Groth, P., et al. (eds.) ISWC 2016. LNCS, vol. 9981, pp. 200–217. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-46523-4_13

    Chapter  Google Scholar 

  14. Meilicke, C., Stuckenschmidt, H., Tamilin, A.: Supporting manual mapping revision using logical reasoning. In: AAAI, pp. 1213–1218. AAAI Press (2008)

    Google Scholar 

  15. Nikitina, N., Rudolph, S., Glimm, B.: Interactive ontology revision. J. Web Semant. 12, 118–130 (2012)

    Article  Google Scholar 

  16. Fu, X., Qi, G., Zhang, Y., Zhou, Z.: Graph-based approaches to debugging and revision of terminologies in DL-Lite. Knowl.-Based Syst. 100, 1–12 (2016)

    Article  Google Scholar 

  17. Li, W., Zhang, S., Qi, G.: A graph-based approach for resolving incoherent ontology mappings. Web Intell. 16(1), 15–35 (2018)

    Article  Google Scholar 

  18. Calvanese, D., De Giacomo, G., Lemho, D., Lenzerini, M., Rosati, R.: DL-Lite: tractable description logics for ontologies. In: AAAI, pp. 602–607. AAAI Press (2005)

    Google Scholar 

  19. Lembo, D., Santarelli, V., Savo, D.F.: Graph-based ontology classification in OWL 2 QL. In: Cimiano, P., Corcho, O., Presutti, V., Hollink, L., Rudolph, S. (eds.) ESWC 2013. LNCS, vol. 7882, pp. 320–334. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-38288-8_22

    Chapter  Google Scholar 

  20. Even, S.: Graph Algorithms. Cambridge University Press, Cambridge (2011)

    Book  Google Scholar 

  21. Castano, S., Ferrara, A., Montanelli, S.: Dealing with matching variability of semantic web data using contexts. In: Pernici, B. (ed.) CAiSE 2010. LNCS, vol. 6051, pp. 194–208. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-13094-6_16

    Chapter  Google Scholar 

  22. Jean-Mary, Y.R., Shironoshita, E.P., Kabuka, M.R.: Ontology matching with semantic verification. J. Web Semant. 7(3), 235–251 (2009)

    Article  Google Scholar 

  23. Shchekotykhin, K., Friedrich, G.: Query strategy for sequential ontology debugging. In: Patel-Schneider, P.F., et al. (eds.) ISWC 2010. LNCS, vol. 6496, pp. 696–712. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-17746-0_44

    Chapter  Google Scholar 

  24. Rodler, P., Shchekotykhin, K., Fleiss, P., Friedrich, G.: RIO: minimizing user interaction in ontology debugging. In: Faber, W., Lembo, D. (eds.) RR 2013. LNCS, vol. 7994, pp. 153–167. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-39666-3_12

    Chapter  Google Scholar 

  25. Euzenat, J.: Revision in networks of ontologies. Artif. Intell. 228, 195–216 (2015)

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgements

We thank the anonymous reviewers for their comments. This work was partially supported by the National Key Research and Development Program of China under grant 2016YFB1000902, the NSFC grants U1736204, 61621003, 61762063, 61602259, the Natural Science Foundation of Jiangxi 20171BAB202024, the fund from JiangXi Educational Committee GJJ170991.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Weizhuo Li .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Li, W., Zhang, S., Qi, G., Fu, X., Ji, Q. (2018). A Graph-Based Method for Interactive Mapping Revision. In: Ichise, R., Lecue, F., Kawamura, T., Zhao, D., Muggleton, S., Kozaki, K. (eds) Semantic Technology. JIST 2018. Lecture Notes in Computer Science(), vol 11341. Springer, Cham. https://doi.org/10.1007/978-3-030-04284-4_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-04284-4_17

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-04283-7

  • Online ISBN: 978-3-030-04284-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics