Abstract
In this paper we present a development of our ontology alignment framework based on varying semantics of attributes. Emphasising the analysis of explicitly given descriptions of how attributes change meanings they entail while being included within different concepts have been proved useful. Moreover, we claim that it is consistent with the intuitive way how people see the real world and how they find similarities and correspondences between its elements. In this paper we concentrate on the issue of tracking changes that may occur within aligned ontologies and how these potential changes can influence the process of finding new mappings or validating ones that have already been found.
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References
Cao, S.T., Nguyen, L.A., Szalas, A.: WORL: a nonmonotonic rule language for the semantic web. Vietnam Journal of Science 1(2), 57–69 (2014)
Chua, W.W.K., Kim, J.-J.: BOAT: Automatic alignment of biomedical ontologies using term informativeness and candidate selection. log of Biomedical Informatics 45, 337–349 (2012)
Duong, T.H., Jo, G.S., Jung, J.J., Nguyen, N.T.: Complexity analysis of ontology integration methodologies: a comparative study. log of Universal Computer Science 15, 877–897 (2009)
Euzenat, J., Shvaiko, P.: Ontology Matching, 2nd edn. Springer, Heidelberg (2013)
Khattak, A.M., Latif, K., Lee, S.: Change management in evolving web ontologies. Knowledge-Based Systems 37, 1–18 (2013)
Jiménez-Ruiz, E., Grau, B.C., Horrocks, I.: LogMap and LogMapLt results for OAEI 2012. Ontology Matching (2013)
Fensel, D.A.: Ontologies: A Silver Bullet for Knowledge Management and Electronic Commerce, 2nd edn. (2010)
Flouris, G., Manakanats, D., Kondylaiks, H., Plexousakis, D., Antoniou, G.: Ontology change: classification and survey. Knowl. Eng. Rev. 23 (2008)
Ma, Y., Lu, K., Zhang, Y., Jin, B.: Measuring ontology information by rules based transformation. Knowledge-Based Systems 50, 234–245 (2013)
Nguyen, N.T.: Advanced Methods for Inconsistent Knowledge Management (Advanced Information and Knowledge Processing). Springer (2008)
Nguyen, V., Nguyen, N.T.: A Method for Temporal Knowledge Integration Using Indeterminate Model of Time. Cybernetics and Systems 44(2-3), 222–244 (2013)
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)
Pastuszak, J., Orłowski, C.: Model of rules for IT organization evolution. In: Nguyen, N.T. (ed.) Transactions on Computational Collective Intelligence IX. LNCS, vol. 7770, pp. 55–78. Springer, Heidelberg (2013)
Plessers, P., De Troyer, O., Casteleyn, S.: Understanding ontology evolution: A change detection approach. Web Semantics: Science, Services and Agents on the World Wide Web 5, 39–49 (2007)
Pietranik, M., Nguyen, N.T.: A Method for Ontology Alignment Based on Semantics of Attributes. Cybernetics and Systems Cybernetics and Systems 43(4), 319–339 (2012)
Pietranik, M., Nguyen, N.T.: Ontology Relation Alignment Based on Attribute Semantics. In: Nguyen, N.-T., Hoang, K., J\k{e}drzejowicz, P. (eds.) ICCCI 2012, Part II. LNCS, vol. 7654, pp. 49–58. Springer, Heidelberg (2012)
Pietranik, M., Nguyen, N.T.: A multi-attribute based framework for ontology aligning, Neurocomputing (June 28, 2014) ISSN 0925-2312, doi: 10.1016/j.neucom.2014.03.067
Sabou, M., d’Aquin, M., Motta, E.: Exploring the semantic web as background knowledge for ontology matching. log on Data Semantics XI, 156–190 (2008)
Shvaiko, P., Euzenat, J.: Ontology Matching: State of the Art and Future Challenges. IEEE Trans. Knowl. Data Eng. 25(1), 158–176 (2013)
Vossen, G.: Big data as the new enabler in business and other intelligence. Vietnam Journal of Science 1(2), 57–69 (2014)
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Pietranik, M., Nguyen, N.T., Orłowski, C. (2014). Increasing the Efficiency of Ontology Alignment by Tracking Changes in Ontology Evolution. In: Hwang, D., Jung, J.J., Nguyen, NT. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2014. Lecture Notes in Computer Science(), vol 8733. Springer, Cham. https://doi.org/10.1007/978-3-319-11289-3_40
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DOI: https://doi.org/10.1007/978-3-319-11289-3_40
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11288-6
Online ISBN: 978-3-319-11289-3
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