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OntoBestFit: a best-fit occurrence estimation strategy for RDF driven faceted semantic search
As Web 2.0 is transforming into a more systematized Semantic Web, there is an urgent need
for semantic compliant techniques for web search. In this paper, the OntoBestFit has been …
for semantic compliant techniques for web search. In this paper, the OntoBestFit has been …
Belief and plausibility measures on intuitionistic fuzzy sets with construction of belief‐plausibility TOPSIS
Belief and plausibility measures in Dempster–Shafer theory (DST) and fuzzy sets are known
as different approaches for representing partial, uncertainty, and imprecise information …
as different approaches for representing partial, uncertainty, and imprecise information …
UQSCM-RFD: A query–knowledge interfacing approach for diversified query recommendation in semantic search based on river flow dynamics and dynamic user …
Owing to the exponential intensification of the web information content and transfiguration of
the conventional Web into a more sophisticated Semantic Web, there is a mandated need …
the conventional Web into a more sophisticated Semantic Web, there is a mandated need …
RETRACTED: Belief and plausibility measures on pythagorean fuzzy sets and its applications with BPI-VIKOR
In the present time, there occurs abundant uncertainty that is fuzzy, imprecise, inaccurate,
and uncertain. Conventionally, to exemplary uncertainty under randomness probability has …
and uncertain. Conventionally, to exemplary uncertainty under randomness probability has …
ProbFuzzOnto: A Fuzzy Ontology-Driven Uncertainty Approach Using Fuzzy Bayesian Networks
The need to deal with uncertain semantics is rising in importance in most of the important
technology trends, and consequently, many proposals have emerged as solutions in recent …
technology trends, and consequently, many proposals have emerged as solutions in recent …
Advantages and challenges of information fusion technique for big data analysis: proposed framework
Introduction: Recently, with the surge in the availability of relevant data in various industries,
the use of Information Fusion technique for data analysis is increasing. This method has …
the use of Information Fusion technique for data analysis is increasing. This method has …
Towards reasoning over knowledge graphs under aleatoric and epistemic uncertainty
The objective of this short article is to propose a research orientation to address the
international Knowledge Graph Reasoning Challenge (IKGRC). The IKGRC consists in …
international Knowledge Graph Reasoning Challenge (IKGRC). The IKGRC consists in …
Dempster-shafer theory: ηow constraint programming can help
A Kaltsounidis, I Karali - … Processing and Management of Uncertainty in …, 2020 - Springer
Dealing with uncertainty has always been a challenging topic in the area of knowledge
representation. Nowadays, as the internet provides a vast platform for knowledge …
representation. Nowadays, as the internet provides a vast platform for knowledge …
[PDF][PDF] Fuzzy Reasoning Procedure for Ontologies based on Rough Membership Approximation.
One of the major challenges in modeling a real-world domain is how to effectively represent
uncertain and incomplete knowledge of that domain. Several techniques for representing …
uncertain and incomplete knowledge of that domain. Several techniques for representing …
[PDF][PDF] Research Article Belief and Plausibility Measures on Intuitionistic Fuzzy Sets with Construction of Belief-Plausibility TOPSIS
Belief and plausibility measures in Dempster–Shafer theory (DST) and fuzzy sets are known
as different approaches for representing partial, uncertainty, and imprecise information. ere …
as different approaches for representing partial, uncertainty, and imprecise information. ere …