ISSN 1119-4618
 

Original Research 


Modelling Uncertainty in Ontology for The Semantic Web Using Vague Graph Theory

Amina Hassan Abubakar, Armand Florentin Donfack Kana.

Abstract
Ontology is viewed as an explicit representation of conceptualization. It consists of a set
of concepts, their definitions and their interrelationships. Ontologies are used to unambiguously model an area of knowledge by “semantically” defining the concepts and their
relationships in a given domain in a way that can be understood by both humans and
machines. One of the major limitations of traditional ontology formalism is its lack of
support for the representation of uncertainty and imprecision. As a result, they cannot
handle incomplete or partial knowledge. Attempts have been made by other researchers
to address this problem using algebraic methods, such as rough sets, soft sets, fuzzy sets,
and probabilistic approaches. However, the conceptualization of the proposed solutions
in those approaches is not always the same as how ontologies are actually implemented.
Ontology languages [such as Resource Description Framework (RDF), RDF Schema (RDFS),
and Web Ontology Language (OWL)] are used for expressing ontologies for Semantic
Web (SW) in a crisp manner. This paper proposed a vague graph approach to formalize
uncertainty in ontology for the SW. The paper extended RDFvg and RDFSvg, respectively,
where both syntactic and semantic extensions of the languages are proposed. Similarly, a
description of vague OWL was provided as OWLvg.

Key words: Uncertainty, RDFvg, RDFSvg, OWLvg


 
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How to Cite this Article
Pubmed Style

Abubakar AH, Kana AFD. Modelling Uncertainty in Ontology for The Semantic Web Using Vague Graph Theory. JPAS. 2020; 20(1): 48-57. doi:10.5455/sf.69169


Web Style

Abubakar AH, Kana AFD. Modelling Uncertainty in Ontology for The Semantic Web Using Vague Graph Theory. http://www.atbuscienceforum.com/?mno=69169 [Access: March 31, 2020]. doi:10.5455/sf.69169


AMA (American Medical Association) Style

Abubakar AH, Kana AFD. Modelling Uncertainty in Ontology for The Semantic Web Using Vague Graph Theory. JPAS. 2020; 20(1): 48-57. doi:10.5455/sf.69169



Vancouver/ICMJE Style

Abubakar AH, Kana AFD. Modelling Uncertainty in Ontology for The Semantic Web Using Vague Graph Theory. JPAS. (2020), [cited March 31, 2020]; 20(1): 48-57. doi:10.5455/sf.69169



Harvard Style

Abubakar, A. H. & Kana, . A. F. D. (2020) Modelling Uncertainty in Ontology for The Semantic Web Using Vague Graph Theory. JPAS, 20 (1), 48-57. doi:10.5455/sf.69169



Turabian Style

Abubakar, Amina Hassan, and Armand Florentin Donfack Kana. 2020. Modelling Uncertainty in Ontology for The Semantic Web Using Vague Graph Theory. Science Forum (Journal of Pure and Applied Sciences), 20 (1), 48-57. doi:10.5455/sf.69169



Chicago Style

Abubakar, Amina Hassan, and Armand Florentin Donfack Kana. "Modelling Uncertainty in Ontology for The Semantic Web Using Vague Graph Theory." Science Forum (Journal of Pure and Applied Sciences) 20 (2020), 48-57. doi:10.5455/sf.69169



MLA (The Modern Language Association) Style

Abubakar, Amina Hassan, and Armand Florentin Donfack Kana. "Modelling Uncertainty in Ontology for The Semantic Web Using Vague Graph Theory." Science Forum (Journal of Pure and Applied Sciences) 20.1 (2020), 48-57. Print. doi:10.5455/sf.69169



APA (American Psychological Association) Style

Abubakar, A. H. & Kana, . A. F. D. (2020) Modelling Uncertainty in Ontology for The Semantic Web Using Vague Graph Theory. Science Forum (Journal of Pure and Applied Sciences), 20 (1), 48-57. doi:10.5455/sf.69169