Although several large knowledge graphs have been proposed in the scholarly field, such
graphs are limited with respect to several data quality dimensions such as accuracy and …

Recent combinations of semantic technology and artificial intelligence (AI) present new
techniques to build intelligent systems that identify more precise results. Semantic AI in …

In real-world scenarios, knowledge graphs remain incomplete and contain abnormal
information, such as redundan-cies, contradictions, inconsistencies, misspellings, and …

The dataset provided by the Knowledge Graph Reasoning Challenge is an event-centric
knowledge graph representation of avatar behavior in a virtual space. Therefore, it contains …

Data mining is the process of discovering the knowledge by analysing and extracting the
data from various highly repositories and the result bases on the useful and functional …

In this research, we developed a hybrid recommender system based on
description/dialetheic logic, which provides an innovative architecture for the …

The outburst of data generation by machines and humans, along with emergence of
sophisticated data processing algorithms have created a demand for a wide number of data …

Abstract The World Wide Web allows users and organizations to publish information and
documents, which are instantly available for all other users of the Web. The data published …

Extracting knowledge from data streams received from observed objects through data
mining is required in various domains. However, there is a lack of any kind of guidance on …

The emergence of the Web, wireless technologies, and mobile devices has made the
automated extraction of knowledge from dynamic user context based on mobile device …