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A Formal Framework for the Ontology Evolution

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Intelligent Information and Database Systems (ACIIDS 2019)

Abstract

Ontologies are a formal tool for expressing knowledge. They are based on providing a logic theory about some selected universe of discourse, which defines a decomposition of a topic of interest into its basic elements and formally describes certain restrictions and constraints that need to be met. In the modern days, users cannot expect that ontologies in their initial states will be resistant to changes and remain static throughout the lifespan of their particular application. In this paper we want to focus on expressing alterations, that can be applied to ontologies in time, due to changing business requirements, emerging new knowledge or modification of the scope that an ontology needs to cover.

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Notes

  1. 1.

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References

  1. Allocca, C., d’Aquin, M., Motta, E.: Detecting different versions of ontologies in large ontology repositories. In: Proceedings of IWOD 2009, Washington, D.C., USA (2009)

    Google Scholar 

  2. Chan, M., Lehmann, J., Bundy, A.: GALILEO: a system for automating ontology evolution. In: ARCOE-11, p. 46 (2011)

    Google Scholar 

  3. De Leenheer, P., Mens, T.: Ontology evolution. In: Hepp, M., De Leenheer, P., De Moor, A., Sure, Y. (eds.) Ontology Management. Computing for Human Experience, vol. 7, pp. 131–176. Springer, Boston (2008). https://doi.org/10.1007/978-0-387-69900-4_5

    Chapter  Google Scholar 

  4. Flouris, G., Manakanats, D., Kondylaiks, H., Plexousakis, D., Antoniou, G.: Ontology change: classification and survey. Knowl. Eng. Rev. 23, 117–152 (2008)

    Article  Google Scholar 

  5. Hartung, M., Terwilliger, J., Rahm, E.: Recent advances in schema and ontology evolution. In: Bellahsene, Z., Bonifati, A., Rahm, E. (eds.) Schema Matching and Mapping. DCSA, vol. 21, pp. 149–190. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-16518-4_6

    Chapter  Google Scholar 

  6. Heflin, J., Pan, Z.: A model theoretic semantics for ontology versioning. In: McIlraith, S.A., Plexousakis, D., van Harmelen, F. (eds.) ISWC 2004. LNCS, vol. 3298, pp. 62–76. Springer, Heidelberg (2004). https://doi.org/10.1007/978-3-540-30475-3_6

    Chapter  Google Scholar 

  7. Javed, M., Abgaz, Y.M., Pahl, C.: A pattern-based framework of change operators for ontology evolution. In: Meersman, R., Herrero, P., Dillon, T. (eds.) OTM 2009. LNCS, vol. 5872, pp. 544–553. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-05290-3_68

    Chapter  Google Scholar 

  8. Khattak, A.M., Latif, K., Lee, S.: Change management in evolving web ontologies. Knowl.-Based Syst. 37, 1–18 (2013)

    Article  Google Scholar 

  9. Klein, M., Fensel, D., Kiryakov, A., Ognyanov, D.: Ontology versioning and change detection on the web. In: Gómez-Pérez, A., Benjamins, V.R. (eds.) EKAW 2002. LNCS (LNAI), vol. 2473, pp. 197–212. Springer, Heidelberg (2002). https://doi.org/10.1007/3-540-45810-7_20

    Chapter  MATH  Google Scholar 

  10. Kondylakis, H., Plexousakis, D.: Ontology evolution without tears. Web Semant.: Sci. Serv. Agents World Wide Web 19, 42–58 (2013). https://doi.org/10.1016/j.websem.2013.01.001

    Article  Google Scholar 

  11. Lehmann, J., Chan, M., Bundy, A.: A higher order approach to ontology evolution in physics. J. Data Semant. 2(4), 163–187 (2013)

    Article  Google Scholar 

  12. Noy, N.F., Kunnatur, S., Klein, M., Musen, M.A.: Tracking changes during ontology evolution. In: McIlraith, S.A., Plexousakis, D., van Harmelen, F. (eds.) ISWC 2004. LNCS, vol. 3298, pp. 259–273. Springer, Heidelberg (2004). https://doi.org/10.1007/978-3-540-30475-3_19

    Chapter  Google Scholar 

  13. Pahl, C., Javed, M., Abgaz, Y.M.: Ontology evolution for learning content management systems. In: EdMedia: World Conference on Educational Media and Technology, pp. 1431–1436. Association for the Advancement of Computing in Education (AACE) (2013)

    Google Scholar 

  14. Pietranik, M., Nguyen, N.T.: A multi-atrribute based framework for ontology aligning. Neurocomputing 146, 276–290 (2014). https://doi.org/10.1016/j.neucom.2014.03.067

    Article  Google Scholar 

  15. Pietranik, M., Nguyen, N.T.: Framework for ontology evolution based on a multi-attribute alignment method. In: 2015 IEEE 2nd International Conference on Cybernetics (CYBCONF), pp. 108–112. IEEE (2015)

    Google Scholar 

  16. Plessers, P., De Troyer, O., Casteleyn, S.: Understanding ontology evolution: a change detection approach. Web Semant.: Sci. Serv. Agents World Wide Web 5, 39–49 (2007)

    Article  Google Scholar 

  17. dos Reis, J.C., et al.: Understanding semantic mapping evolution by observing changes in biomedical ontologies. J. Biomed. Inform. 47, 71–82 (2014)

    Article  Google Scholar 

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Acknowledgement

This research project was supported by grant No. 2017/26/D/ST6/00251 from the National Science Centre, Poland.

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Correspondence to Marcin Pietranik .

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Kozierkiewicz, A., Pietranik, M. (2019). A Formal Framework for the Ontology Evolution. In: Nguyen, N., Gaol, F., Hong, TP., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2019. Lecture Notes in Computer Science(), vol 11431. Springer, Cham. https://doi.org/10.1007/978-3-030-14799-0_2

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  • DOI: https://doi.org/10.1007/978-3-030-14799-0_2

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