Exploiting similarity metrics and case-bases for knowledge sharing between case-based reasoners

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Differences in naming, structure, precision, and representation, colllectively referred to as semantic heterogeneity, have long hindered efforts to share knowledge between reasoning agents. Most current techniques require the construction of an expensive, and highly formalized interlingua before any communication can have meaning between semantically heterogeneous agents. We present here a method for case-based reasoners to share knowledge without the need for a prior interlingua. Using the similarity metrics and the cases known to each agent, we demonstrate how classes in one knowledge base can be mapped into classes of another knowledge base with the help of a critic function. In the case that the critic function is mechanically realizable (e.g. a high fidelity simulation of the domain of interest), our method becomes well-suited for highly-autonomous case-based reasoners.

Original languageEnglish (US)
Title of host publicationProceedings of the 2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005
Pages452-457
Number of pages6
Volume2005
DOIs
StatePublished - 2005
Event2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005 - Las Vegas, NV, United States
Duration: Aug 15 2005Aug 17 2005

Other

Other2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005
CountryUnited States
CityLas Vegas, NV
Period8/15/058/17/05

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Semantics
Communication

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Denny, N., & Marefat, M. M. (2005). Exploiting similarity metrics and case-bases for knowledge sharing between case-based reasoners. In Proceedings of the 2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005 (Vol. 2005, pp. 452-457). [1506515] https://doi.org/10.1109/IRI-05.2005.1506515

Exploiting similarity metrics and case-bases for knowledge sharing between case-based reasoners. / Denny, Nathan; Marefat, Michael Mahmoud.

Proceedings of the 2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005. Vol. 2005 2005. p. 452-457 1506515.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Denny, N & Marefat, MM 2005, Exploiting similarity metrics and case-bases for knowledge sharing between case-based reasoners. in Proceedings of the 2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005. vol. 2005, 1506515, pp. 452-457, 2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005, Las Vegas, NV, United States, 8/15/05. https://doi.org/10.1109/IRI-05.2005.1506515
Denny N, Marefat MM. Exploiting similarity metrics and case-bases for knowledge sharing between case-based reasoners. In Proceedings of the 2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005. Vol. 2005. 2005. p. 452-457. 1506515 https://doi.org/10.1109/IRI-05.2005.1506515
Denny, Nathan ; Marefat, Michael Mahmoud. / Exploiting similarity metrics and case-bases for knowledge sharing between case-based reasoners. Proceedings of the 2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005. Vol. 2005 2005. pp. 452-457
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