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Héctor Andrés Melgar Sasieta, Fabiano Duarte Beppler, Roberto Carlos do Santos Pacheco (Author)
Pág. 381 - 389
This paper presents a model that aims to facilitate the visualization of the knowledge stored in digital repositories using visual archetypes. Archetypes are structures that contain visual representations of the real world that are known a priori by the ...
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Jonghyeon Yang, Hanme Jang and Kiyun Yu
In recent years, question answering on knowledge bases (KBQA) has emerged as a promising approach for providing unified, user-friendly access to knowledge bases. Nevertheless, existing KBQA systems struggle to answer spatial-related questions, prompting ...
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Jawaher Alghamdi, Yuqing Lin and Suhuai Luo
The detection of fake news has emerged as a crucial area of research due to its potential impact on society. In this study, we propose a robust methodology for identifying fake news by leveraging diverse aspects of language representation and incorporati...
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Meng-Leong How and Sin-Mei Cheah
The fusion of quantum computing and artificial intelligence (AI) heralds a transformative era for Industry 4.0, offering unprecedented capabilities and challenges. This paper delves into the intricacies of quantum AI, its potential impact on Industry 4.0...
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Theodore Andronikos and Alla Sirokofskich
In the dynamic landscape of digital information, the rise of misinformation and fake news presents a pressing challenge. This paper takes a completely new approach to verifying news, inspired by how quantum actors can reach agreement even when they are s...
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Jean-Marc Guarini and Jennifer Coston-Guarini
In their 2023 book, ?The Blue Compendium: From Knowledge to Action for a Sustainable Ocean Economy?, Lubchenko and Haugan invoked alternate stable (AS) states marginally as an undesired consequence of sources of disturbance on populations, communities an...
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Lorenzo Serina, Luca Putelli, Alfonso Emilio Gerevini and Ivan Serina
In recent years, many studies have been devoted to discovering the inner workings of Transformer-based models, such as BERT, for instance, attempting to identify what information is contained within them. However, little is known about how these models s...
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Ying Liu, Peng Wang and Di Yang
Knowledge graph embedding learning aims to represent the entities and relationships of real-world knowledge as low-dimensional dense vectors. Existing knowledge representation learning methods mostly aggregate only the internal information of triplets an...
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Haojie Zhang and Zhidong Shen
A news-recommendation system is designed to deal with massive amounts of news and provide personalized recommendations for users. Accurately modeling of news and users is the key to news recommendation. Researchers usually use auxiliary information such ...
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Valeria Zoratto, Daniela Godoy and Gabriela N. Aranda
The knowledge provided by user communities in question-answering (QA) forums is a highly valuable source of information for satisfying user information needs. However, finding the best answer for a posted question can be challenging. User-generated conte...
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