Ontologies and artificial intelligence systems for the cooperative smart farming ecosystem

SSL Chukkapalli, S Mittal, M Gupta… - Ieee …, 2020 - ieeexplore.ieee.org
Cyber-Physical Systems (CPS) and Internet of Thing (IoT) generate large amounts of data
spurring the rise of Artificial Intelligence (AI) based smart applications. Driven by rapid …

Representing COVID-19 information in collaborative knowledge graphs: the case of Wikidata

H Turki, MA Hadj Taieb, T Shafee, T Lubiana… - Semantic …, 2022 - content.iospress.com
Information related to the COVID-19 pandemic ranges from biological to bibliographic, from
geographical to genetic and beyond. The structure of the raw data is highly complex, so …

Data science with Vadalog: Knowledge Graphs with machine learning and reasoning in practice

L Bellomarini, RR Fayzrakhmanov, G Gottlob… - Future Generation …, 2022 - Elsevier
Following the recent successful examples of large technology companies, many modern
enterprises seek to build Knowledge Graphs to provide a unified view of corporate …

GFCNet: Utilizing graph feature collection networks for coronavirus knowledge graph embeddings

Z Xie, R Zhu, J Liu, G Zhou, JX Huang, X Cui - Information Sciences, 2022 - Elsevier
In response to fighting COVID-19 pandemic, researchers in machine learning and artificial
intelligence have constructed some medical knowledge graphs (KG) based on existing …

Constructing co-occurrence network embeddings to assist association extraction for COVID-19 and other coronavirus infectious diseases

D Oniani, G Jiang, H Liu, F Shen - Journal of the American …, 2020 - academic.oup.com
Objective As coronavirus disease 2019 (COVID-19) started its rapid emergence and
gradually transformed into an unprecedented pandemic, the need for having a knowledge …

Macroeconomic forecasting with statistically validated knowledge graphs

S Tilly, G Livan - Expert Systems with Applications, 2021 - Elsevier
This study leverages narrative from global newspapers to construct theme-based knowledge
graphs about world events, demonstrating that features extracted from such graphs improve …

Do cloud-based enterprise resource planning systems affect the productivity of human resources in the COVID-19 era?

X Yao, M Azma - Kybernetes, 2022 - emerald.com
Purpose This study aims to investigate the impact of skills and knowledge of employees,
economic situations of the company, current IT infrastructure, payment fashion, cloud …

[PDF][PDF] Reasoning on Company Takeovers during the COVID-19 Crisis with Knowledge Graphs.

L Bellomarini, M Benedetti, S Ceri, A Gentili… - RuleML+ RR …, 2020 - ceur-ws.org
When some country takes a disproportionate hit by a largescale turmoil—just like Italy did
during the COVID-19 pandemics—the share prices of its companies plunge. Suddenly, it …

Toward a coronavirus knowledge graph

P Zhang, Y Bu, P Jiang, X Shi, B Lun, C Chen… - Genes, 2021 - mdpi.com
This study builds a coronavirus knowledge graph (KG) by merging two information sources.
The first source is Analytical Graph (AG), which integrates more than 20 different public …

[PDF][PDF] " Please, Vadalog, tell me why": Interactive Explanation of Datalog-based Reasoning.

T Baldazzi, L Bellomarini, S Ceri, A Colombo… - EDBT, 2024 - openproceedings.org
ABSTRACT Integrating Large Language Models (LLMs) with logic-based Enterprise
Knowledge Graphs (EKGs) and more generally with Knowledge Representation and …