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Semantic Technologies in e-Learning: Learning Analytics and Artificial Neural Networks in Personalised Learning Systems

Web Intelligence, Mining and Semantics, 2018
The paper presents semantic clustering and artificial neural network (ANN) based learning analytics software agent for personalised adaptive multi-agent learning system.
J. Melesko, E. Kurilovas
semanticscholar   +1 more source

BEEO: Semantic Support for Event-Based Data Analytics

2021
Recent developments in data analysis and machine learning support novel data-driven operations. Event data provide social and environmental context, thus, such data may become essential for the workflow of data analytic pipelines. In this paper, we introduce our Business Event Exchange Ontology (BEEO), based on Schema.org that enables data integration ...
Michele Ciavotta   +4 more
openaire   +2 more sources

Semantic Activity Analytics for Healthy Aging: Challenges and Opportunities

IEEE pervasive computing, 2018
As real-life activity data from many aging individuals become available, insights gleaned from such data could be leveraged to foster healthy aging. The emerging field of semantic activity analytics is addressing this challenge.
Mike Martin   +3 more
semanticscholar   +1 more source

Process-aware IIoT Knowledge Graph: A semantic model for Industrial IoT integration and analytics

Future generations computer systems, 2022
C. Diamantini   +3 more
semanticscholar   +1 more source

Constructing semantic ontologies for business analytics

Proceedings of the 11th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing on International Conference on Computer Systems and Technologies, 2010
Business analytics (BA) involves defining organization's capabilities and requirements in order to understand how it functions to accomplish its purposes. BA is typically performed to define and validate solutions that are designed to meet organization's business needs, goals or objectives.
Bojan Cestnik, Stojan Košti
openaire   +1 more source

AI-Powered Talent Acquisition: Enhancing Recruitment and Workforce Analytics Using Machine Learning

International Workshop on Artificial Intelligence and Cognition
Recruitment mechanisms across modern industries are growing more complex, and hence, solutions that are intelligent, flexible, and scalable are becoming imperative.
S. Karuppiah   +5 more
semanticscholar   +1 more source

Visual Analytics and Visual Semantics

2011
Visual languages are frequently used in wide ranging application areas. In computing particularly, visual languages often play a central role such as in the design of software artefacts, conveying models of computation, or in providing an understanding of systems in general. This special issue demonstrates just some of the vast array of research topics
Gem Stapleton   +2 more
openaire   +1 more source

Chimera: A Bridge Between Big Data Analytics and Semantic Technologies

International Workshop on the Semantic Web, 2021
Matteo Belcao   +3 more
semanticscholar   +1 more source

Semantics, Analytics, Visualization. Enhancing Scholarly Data

2016
This book constitutes the refereed proceedings of the Second International Workshop on Semantics, Analytics, Visualization,- Enhancing Scholarly Data,- SAVE-SD 2016, held in Montreal, QC, Canada, in April 2016. The 5 full papers, 6 demo and poster papers and 2 position papers, were carefully reviewed and selected from 16 submissions.
González Beltrán, Alejandra   +2 more
openaire   +1 more source

Analytic Tableaux for Non-deterministic Semantics

2021
Analytic tableau systems for the family of non-deterministic semantics are introduced. These are based on tableaux for many-valued logics using sets-as-signs DNF representations. Karnaugh maps illustrate the construction of tableau rules. In contrast to classical many-valued tableaux, we add a rule called sign intersection.
openaire   +1 more source

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