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Mohammed Suleiman Mohammed Rudwan and Jean Vincent Fonou-Dombeu
Ontology merging is an important task in ontology engineering to date. However, despite the efforts devoted to ontology merging, the incorporation of relevant features of ontologies such as axioms, individuals and annotations in the output ontologies rem...
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Alexandra Baicoianu and Ion Valentin Scheianu
The term ?big data? refers to the vast amount of structured and unstructured data generated by businesses, organizations, and individuals on a daily basis. The rapid growth of big data has led to the development of new technologies and techniques for sto...
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Marian Pompiliu Cristescu, Dumitru Alexandru Mara, Lia Cornelia Culda, Raluca Andreea Neri?anu, Adela Bâra and Simona-Vasilica Oprea
This study explores the potential of data science software solutions like Customer Relationship Management Software (CRM) for increasing the revenue generation of businesses. We focused on those businesses in the accommodation and food service sector acr...
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Nisrine Berros, Fatna El Mendili, Youness Filaly and Younes El Bouzekri El Idrissi
Medicine is constantly generating new imaging data, including data from basic research, clinical research, and epidemiology, from health administration and insurance organizations, public health services, and non-conventional data sources such as social ...
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Gianluca Barbera, Luiz Araujo and Silvia Fernandes
Social Media Analytics (SMA) is more and more relevant in today?s market dynamics. However, it is necessary to use it wisely, either in promoting any kind of product/brand, or interacting with customers. This requires its effective understanding and moni...
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Zaher Ali Al-Sai, Mohd Heikal Husin, Sharifah Mashita Syed-Mohamad, Rosni Abdullah, Raed Abu Zitar, Laith Abualigah and Amir H. Gandomi
Big Data and analytics have become essential factors in managing the COVID-19 pandemic. As no company can escape the effects of the pandemic, mature Big Data and analytics practices are essential for successful decision-making insights and keeping pace w...
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Mihai Andronie, George Lazaroiu, Mariana Iatagan, Iulian Hurloiu, Roxana ?tefanescu, Adrian Dijmarescu and Irina Dijmarescu
The objective of this systematic review was to analyze the recently published literature on the Internet of Robotic Things (IoRT) and integrate the insights it articulates on big data management algorithms, deep learning-based object detection technologi...
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Preethika Kasu, Prince Hamandawana and Tae-Sun Chung
Various components are involved in the end-to-end path of data transfer. Protecting data integrity from failures in these intermediate components is a key feature of big data transfer tools. Although most of these components provide some degree of data i...
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Eleonora Bernasconi, Miguel Ceriani, Davide Di Pierro, Stefano Ferilli and Domenico Redavid
In the era of big data, linked data interfaces play a critical role in enabling access to and management of large-scale, heterogeneous datasets. This survey investigates forty-seven interfaces developed by the semantic web community in the context of the...
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Johannes Rank, Jonas Herget, Andreas Hein and Helmut Krcmar
Big Data and primarily distributed stream processing systems (DSPSs) are growing in complexity and scale. As a result, effective performance management to ensure that these systems meet the required service level objectives (SLOs) is becoming increasingl...
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