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 …
that continuously monitor data sources over time, remaining active until explicitly terminated …
[HTML][HTML] PALADIN: A process-based constraint language for data validation
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 …
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
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 …
and innovate their business, by leveraging digital technologies and tools to support their …
Neurosymbolic Methods for Dynamic Knowledge Graphs
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 …
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
The landscape of computing technologies is changing rapidly, straining existing software
engineering practices and tools. The growing need to produce and maintain increasingly …
engineering practices and tools. The growing need to produce and maintain increasingly …
Subgraph2vec: A random walk-based algorithm for embedding knowledge graphs
Graph is an important data representation which occurs naturally in the real world
applications\cite {goyal2018graph}. Therefore, analyzing graphs provides users with better …
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
Abstract Knowledge Graphs (KGs) are graph-based structures that integrate heterogeneous
data, capture domain knowledge, and enable explainable AI through symbolic reasoning …
data, capture domain knowledge, and enable explainable AI through symbolic reasoning …
Transforming RDF Graphs to Property Graphs using Standardized Schemas
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 …
abundant using RDF and recently also as property graphs. While knowledge graphs in RDF …
When ontologies met knowledge graphs: Tale of a methodology
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 …
with the ever-changing nature of knowledge. In this short paper, we present LOT4KG: a first …
GenACT: An Ontology-Based Temporal Web Data Generator
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 …
and the rise of the Internet of Things (IoT) underscores the necessity for studying temporal …