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View all- Akremi HZghal S(2021)DOF: a generic approach of domain ontology fuzzificationFrontiers of Computer Science10.1007/s11704-020-9354-z15:3Online publication date: 16-Jan-2021
Modeling of uncertainty: Fuzzification of medical ontology
Article No.: 32, Pages 1 - 4
Abstract
In this paper, we propose a new method of ontology fuzzification which is able to analyzing data imperfection. In general, the constituents of an ontology are, as all data from the real world, characterized by aspects of inaccuracies and uncertainties. These imperfections of ontologies are the result of a vague and imprecise linguistic description, provided by dmain experts. They are broken down into two categories: the uncertainty, and the imprecision. Indeed, the theories of vagueness and uncertainty form the basis to support these two aspects. Thus, the purpose of our paper is to propose an approach of ontologies fuzzification which therefore takes into account these two aspects. The approach is illustrated in the medical domain.
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- Modeling of uncertainty: Fuzzification of medical ontology
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Published In
June 2016
309 pages
ISBN:9781450340564
DOI:10.1145/2912845
Copyright © 2016 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
New York, NY, United States
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Published: 13 June 2016
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WIMS '16
WIMS '16: International Conference on Web Intelligence, Mining and Semantics
June 13 - 15, 2016
Nîmes, France
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WIMS '16 Paper Acceptance Rate 36 of 53 submissions, 68%;
Overall Acceptance Rate 140 of 278 submissions, 50%
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View all- Akremi HZghal S(2021)DOF: a generic approach of domain ontology fuzzificationFrontiers of Computer Science10.1007/s11704-020-9354-z15:3Online publication date: 16-Jan-2021
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