Ontologies have gained a lot of popularity and recognition in the semantic web because of
their extensive use in Internet-based applications. Ontologies are often considered a fine …

Purpose This study aims to propose a collaborative knowledge-based ontological research
model for designing a collaborative product development process (PDP) while considering …

Recently, IoT has greatly influenced our daily lives through various applications. One of the
most promising application is smart city that leverages IoT devices to manage cities without …

Multiple sclerosis (MS) is a neurological disorder that strikes the central nervous system.
Due to the complexity of this disease, healthcare sectors are increasingly in need of shared …

Cloud is a multitenant architecture that allows the cloud users to share the resources via
servers and is used in various applications, including data classification. Data classification …

A real-life hierarchical classification system is developed to automatically extract a domain
ontology from repair data collected during the warranty period of an original equipment …

Feature Ensembles are a robust and effective method for finding the feature set that yields
the best predictive accuracy for learning agents. However, current feature ensemble …

This paper introduces a novel family of ontology-based similarity measures based on the
Information Content (IC) theory, a detailed state of the art, a large experimental survey into …

Noise addition is a data distortion technique widely used in data intensive applications. For
example, in machine learning tasks it helps to reduce overfitting, whereas in data privacy …

Web Mining is regarded as one among the data mining techniques that aids in fetching and
extraction of necessary data from the web. Conversely, Web usage mining discovers and …