An overview of continuous querying in (modern) data systems

A Bonifati, R Tommasini - … of the 2024 International Conference on …, 2024 - dl.acm.org
Continuous queries, also known as standing or streaming queries, are a class of queries
that continuously monitor data sources over time, remaining active until explicitly terminated …

[HTML][HTML] PALADIN: A process-based constraint language for data validation

AJ Diaz-Honrubia, PD Rohde, E Niazmand… - Information …, 2024 - Elsevier
In many processes, ranging from medical treatments to supply chains and employee
management, there is a growing need to gather information with the objective of enhancing …

[HTML][HTML] Procedural knowledge management in industry 5.0: Challenges and opportunities for knowledge graphs

I Celino, VA Carriero, A Azzini, I Baroni… - Journal of Web …, 2024 - Elsevier
With digital transformation, industrial companies today are facing the challenges to change
and innovate their business, by leveraging digital technologies and tools to support their …

Neurosymbolic Methods for Dynamic Knowledge Graphs

M Alam, GA Gesese, PH Paris - arxiv preprint arxiv:2409.04572, 2024 - arxiv.org
Knowledge graphs (KGs) have recently been used for many tools and applications, making
them rich resources in structured format. However, in the real world, KGs grow due to the …

Overview of Current Challenges in Multi-Architecture Software Engineering and a Vision for the Future

P Sowinski, I Lacalle, R Vano, CE Palau… - arxiv preprint arxiv …, 2024 - arxiv.org
The landscape of computing technologies is changing rapidly, straining existing software
engineering practices and tools. The growing need to produce and maintain increasingly …

Subgraph2vec: A random walk-based algorithm for embedding knowledge graphs

E Bozorgi, S Soleimani, SK Alqaiidi, HR Arabnia… - arxiv preprint arxiv …, 2024 - arxiv.org
Graph is an important data representation which occurs naturally in the real world
applications\cite {goyal2018graph}. Therefore, analyzing graphs provides users with better …

[HTML][HTML] Integrating Knowledge Graphs with Symbolic AI: The Path to Interpretable Hybrid AI Systems in Medicine

ME Vidal, Y Chudasama, H Huang, D Purohit… - Journal of Web …, 2025 - Elsevier
Abstract Knowledge Graphs (KGs) are graph-based structures that integrate heterogeneous
data, capture domain knowledge, and enable explainable AI through symbolic reasoning …

Transforming RDF Graphs to Property Graphs using Standardized Schemas

K Rabbani, M Lissandrini, A Bonifati… - Proceedings of the ACM on …, 2024 - dl.acm.org
Knowledge Graphs can be encoded using different data models. They are especially
abundant using RDF and recently also as property graphs. While knowledge graphs in RDF …

When ontologies met knowledge graphs: Tale of a methodology

R Pernisch, M Poveda-Villalón… - European Semantic …, 2024 - Springer
The current state of the art of knowledge engineering lacks proper methodologies to deal
with the ever-changing nature of knowledge. In this short paper, we present LOT4KG: a first …

GenACT: An Ontology-Based Temporal Web Data Generator

G Singh, U Arora, S Kumar, R Tommasini… - … on Conceptual Modeling, 2024 - Springer
Time is a fundamental concept in data processing. The growth of social media (SM) data
and the rise of the Internet of Things (IoT) underscores the necessity for studying temporal …