Maintaining Mappings Valid between Dynamic KOS

  • Julio Cesar Dos Reis
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7882)


Knowledge Organization Systems (KOS) and the existing mappings between them have become extremely relevant in semantic-enabled systems especially for interoperability reasons. KOS may have a dynamic nature since knowledge in a lot of domains evolves fast, and thus KOS evolution can potentially impact mappings, turning them unreliable. A still open research problem is how to adapt mappings in the course of KOS evolution without re-computing semantic correspondences between elements of the involved KOS. This PhD study tackles this issue proposing an approach for adapting mappings according to KOS changes. A framework is conceptualized with a mechanism to support the maintenance of mappings over time, keeping them valid. This proposal will decrease the efforts to maintain mappings up-to-date.


mapping evolution mapping adaptation mapping maintenance 


  1. 1.
    Hodge, G.: Systems of Knowledge Organization for Digital Libraries: Beyond Traditional Authority Files. The Digital Library Federation - Council on Library and Information Resources, Washington, DC (2000)Google Scholar
  2. 2.
    Pavel, S., Euzenat, J.: Ontology Matching: State of the Art and Future Challenges. IEEE Transactions on Knowledge and Data Engineering 25, 158–176 (2013)CrossRefGoogle Scholar
  3. 3.
    Klein, M.: Change Management for Distributed Ontologies, PhD Thesis, Vrije University (2004)Google Scholar
  4. 4.
    Kitamura, Y., Segawa, S., Sasajima, M., Tarumi, S., Mizoguchi, R.: Deep Semantic Mapping between Functional Taxonomies for Interoperable Semantic Search. In: Domingue, J., Anutariya, C. (eds.) ASWC 2008. LNCS, vol. 5367, pp. 137–151. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  5. 5.
    Lambrix, P., Strömbäck, L., Tan, H.: Information Integration in Bioinformatics with Ontologies and Standards. In: Bry, F., Maluszynski, J. (eds.) Semantic Techniques for the Web. LNCS, vol. 5500, pp. 343–376. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  6. 6.
    Hartung, M., Terwilliger, J., Rahm, E.: Recent advances in schema and ontology evolution. In: Schema Matching and Mapping, pp. 149–190. Springer (2011)Google Scholar
  7. 7.
    Dos Reis, J.C., Pruski, C., Da Silveira, M., Reynaud-Delaître, C.: Analyzing and Supporting the Mapping Maintenance Problem in Biomedical Knowledge Organization Systems. In: SIMI Workshop - 9th Extended Semantic Web Conference, pp. 25–36 (2012)Google Scholar
  8. 8.
    Khattak, A.M., Pervez, Z., Latif, K., Lee, S.: Time Efficient Reconciliation of Mappings in Dynamic Web Ontologies. Knowledge-Based Systems 35, 369–374 (2012)CrossRefGoogle Scholar
  9. 9.
    Velegrakis, Y., Miller, J., Popa, L.: Preserving mapping consistency under schema changes. VLDB Journal 13, 274–293 (2004)CrossRefGoogle Scholar
  10. 10.
    Martins, H., Silva, N.: A User-Driven and a Semantic-Based Ontology Mapping Evolution Approach. In: 11th ICEIS, Milan, pp. 6–10 (2009)Google Scholar
  11. 11.
    Gross, A., Hartung, M., Thor, A., Rahm, E.: How do computed ontology mappings evolve? A case study for life science ontologies. In: Joint Workshop on Knowledge Evolution and Ontology Dynamics (ISWC), pp. 1–12 (2012)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Julio Cesar Dos Reis
    • 1
  1. 1.CR SANTEC, CRP Henri Tudor and LRIUniversity of Paris-Sud XIEsch-sur-AlzetteLuxembourg

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