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Fuzzy Probabilistic Ontology Approach: A Hybrid Model for Handling Uncertain Knowledge in Ontologies

Fuzzy Probabilistic Ontology Approach: A Hybrid Model for Handling Uncertain Knowledge in Ontologies

Ishak Riali, Messaouda Fareh, Hafida Bouarfa
Copyright: © 2019 |Volume: 15 |Issue: 4 |Pages: 20
ISSN: 1552-6283|EISSN: 1552-6291|EISBN13: 9781522564478|DOI: 10.4018/IJSWIS.2019100101
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MLA

Riali, Ishak, et al. "Fuzzy Probabilistic Ontology Approach: A Hybrid Model for Handling Uncertain Knowledge in Ontologies." IJSWIS vol.15, no.4 2019: pp.1-20. https://doi.org/10.4018/IJSWIS.2019100101

APA

Riali, I., Fareh, M., & Bouarfa, H. (2019). Fuzzy Probabilistic Ontology Approach: A Hybrid Model for Handling Uncertain Knowledge in Ontologies. International Journal on Semantic Web and Information Systems (IJSWIS), 15(4), 1-20. https://doi.org/10.4018/IJSWIS.2019100101

Chicago

Riali, Ishak, Messaouda Fareh, and Hafida Bouarfa. "Fuzzy Probabilistic Ontology Approach: A Hybrid Model for Handling Uncertain Knowledge in Ontologies," International Journal on Semantic Web and Information Systems (IJSWIS) 15, no.4: 1-20. https://doi.org/10.4018/IJSWIS.2019100101

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Abstract

In spite of the undeniable success of the ontologies, where they have been widely applied successfully to represent the knowledge in lots of real-world problems, they cannot represent and reason with uncertain knowledge which inherently appears in most domains. To cope with this issue, this article presents a new approach for dealing with rich-uncertainty domains. In fact, it is mainly based on integrating hybrid models which combine both fuzzy logic and Bayesian networks. On the other hand, the Fuzzy multi-entity Bayesian network (FzMEBN) proposed as a hybrid model which enhances the classical multi-entity Bayesian network using fuzzy logic, it can be used to represent and reason with probabilistic and vague knowledge simultaneously. Thus, as a language belongs to the proposed approach, this study proposes a promising solution to overcome the weakness of the Probabilistic Ontology Web Language (PR-OWL) based on FzMEBN to allow dealing with vague and probabilistic knowledge in ontologies. The proposed extension is evaluated with a case study in the medical field (diabetes diseases).

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