Abstract
The alignment of disparate ontology is of fundamental importance to support opportunistic communication within open agent systems, and as such has become an established and active research area. Traditional alignment mechanisms typically exploit the lexical and structural resemblance between the entities (concepts, properties and individuals) found within the ontologies, and as such often require agents to make their ontology available to an oracle (either one of the agents themselves or a third party). However, these approaches are used irrespectively of whether they are suitable given the intended models underlying the ontologies and hence their overlap, and usually require the disclosure of the full ontological model. This prevents the agents from strategically disclosing only part of their ontological model on the grounds of privacy or confidentiality issues. In this paper we present a dialogue based mechanism that allows two agents with limited or no prior knowledge of the other’s ontological model to determine whether it is possible to achieve some form of alignment between the two ontologies. We show how two agents, each possessing incomplete sets of private, heterogeneous (and typically ambiguous) correspondences, can derive an unambiguous alignment from a set of ambiguous, but mutually acceptable correspondences generated using an inquiry dialogue. The termination properties of the dialogue are formally proved, and the presentation and instantiation of an abstract preference-based argumentation is given. We demonstrate how ambiguity can be eliminated through the use of undercuts and rebuttals, given preference relations over the arguments.
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References
Agrawal, R., Evfimievski, A., Srikant, R.: Information sharing across private databases. In: Proceedings of the ACM SIGMOD 2003 International Conference on Management of Data, pp. 86–97. ACM (2003)
Aguirre, J.L., Eckert, K., Euzenat, J., Ferrara, A., van Hage, W.R., Hollink, L., Meilicke, C., Nikolov, A., Ritze, D., Scharffe, F., Shvaiko, P., Sváb-Zamazal, O., dos Santos, C.T., Jiménez-Ruiz, E., Grau, B.C., Zapilko, B.: Results of the ontology alignment evaluation initiative 2012. In: Shvaiko, P., Euzenat, J., Kementsietsidis, A., Mao, M., Noy, N.F., Stuckenschmidt, H. (eds.) CEUR Workshop Proceedings on OM, vol. 946. CEUR-WS.org (2012)
Amgoud, L., Cayrol, C.: On the acceptability of arguments in preference-based argumentation. In: Cooper, G.F., Moral, S. (eds.) UAI, pp. 1–7. Morgan Kaufmann (1998)
Amgoud, L., Vesic, S.: Rich preference-based argumentation frameworks. International Journal of Approximate Reasoning 55(2), 585–606 (2014)
Clifton, C., lu, M.K., Doan, A., Schadow, G., Vaidya, J., Elmagarmid, A., Suciu, D.: Privacy-preserving data integration and sharing. In: Proceedings of the 9th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, pp. 19–26. ACM (2004)
Cruz, I.F., Tamassia, R., Yao, D.: Privacy-preserving schema matching using mutual information. In: Data & Applications Security XXI, pp. 93–944602. Springer (2007)
Doran, P., Tamma, V., Payne, T.R., Palmisano, I.: Dynamic selection of ontological alignments: a space reduction mechanism. In: Proc. IJCAI, pp. 2028–2033 (2009)
Dung, P.: On the Acceptability of Arguments and its Fundamental Role in Nonmonotonic Reasoning, Logic Programming and n-person Games. Artificial Intelligence 77(2), 321–358 (1995)
Euzenat, J., Shvaiko, P.: Ontology Matching. Springer-Verlag (2007)
Grice, H.P.: Logic and conversation. In: Cole, P., Morgan, J.L. (eds.) Syntax and Semantics: Speech Acts, vol. 3, pp. 41–58. Academic Press, San Diego (1975)
Laera, L., Blacoe, I., Tamma, V., Payne, T., Euzenat, J., Bench-Capon, T.: Argumentation over ontology correspondences in MAS. In: Proceedings of AAMAS 2007, pp. 1285–1292 (2007)
Meilicke, C.: Alignment Incoherence in Ontology Matching. Ph.D. thesis, Dissertation, Universität Mannheim, Mannheim (2011)
Mitra, P., Liu, P., Pan, C.C.: Privacy-preserving ontology matching. In: AAAI Workshop on Context and Ontologies (2005)
Parsons, S., Wooldridge, M., Amgoud, L.: Properties and complexity of some formal inter-agent dialogues. J. Logic and Computation 13(3), 347–376 (2003)
Payne, T.R., Tamma, V.: Negotiating over ontological correspondences with asymmetric and incomplete knowledge. In: Proc. AAMAS 2014, pp. 517–524 (2014)
dos Santos, C.T., Quaresma, P., Vieira, R.: Conjunctive queries for ontology based agent communication in MAS. In: Proc. AAMAS 2008, pp. 829–836 (2008)
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Payne, T.R., Tamma, V. (2015). Using Preferences in Negotiations over Ontological Correspondences. In: Chen, Q., Torroni, P., Villata, S., Hsu, J., Omicini, A. (eds) PRIMA 2015: Principles and Practice of Multi-Agent Systems. PRIMA 2015. Lecture Notes in Computer Science(), vol 9387. Springer, Cham. https://doi.org/10.1007/978-3-319-25524-8_20
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DOI: https://doi.org/10.1007/978-3-319-25524-8_20
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