Knowledge4COVID-19: A semantic-based approach for constructing a COVID-19 related knowledge graph from various sources and analyzing treatments' toxicities
In this paper, we present Knowledge4COVID-19, a framework that aims to showcase the
power of integrating disparate sources of knowledge to discover adverse drug effects …
power of integrating disparate sources of knowledge to discover adverse drug effects …
Ontario: Federated query processing against a semantic data lake
Data lakes enable flexible knowledge discovery and reduce the overhead of materialized
data integration. Albeit effective for data storage, query execution over data lakes may be …
data integration. Albeit effective for data storage, query execution over data lakes may be …
Transforming heterogeneous data into knowledge for personalized treatments—a use case
Big data has exponentially grown in the last decade; it is expected to grow at a faster rate in
the next years as a result of the advances in the technologies for data generation and …
the next years as a result of the advances in the technologies for data generation and …
Enhancing virtual ontology based access over tabular data with Morph-CSV
Abstract Ontology-Based Data Access (OBDA) has traditionally focused on providing a
unified view of heterogeneous datasets (eg, relational databases, CSV and JSON files) …
unified view of heterogeneous datasets (eg, relational databases, CSV and JSON files) …
InterpretME: A tool for interpretations of machine learning models over knowledge graphs
In recent years, knowledge graphs (KGs) have been considered pyramids of interconnected
data enriched with semantics for complex decision-making. The potential of KGs and the …
data enriched with semantics for complex decision-making. The potential of KGs and the …
Challenges for healthcare data analytics over knowledge graphs
Over the past decade, the volume of data has experienced a significant increase, and this
growth is projected to accelerate in the coming years. Within the healthcare sector, various …
growth is projected to accelerate in the coming years. Within the healthcare sector, various …
Semantic Units: Increasing Expressivity and Simplicity of Formal Representations of Data and Knowledge in Knowledge Graphs
L Vogt - arxiv preprint arxiv:2407.10720, 2024 - arxiv.org
Knowledge graphs and ontologies are becoming increasingly vital as they align with the
FAIR Guiding Principles (Findable, Accessible, Interoperable, Reusable). We address …
FAIR Guiding Principles (Findable, Accessible, Interoperable, Reusable). We address …
Strategies for a semantified uniform access to large and heterogeneous data sources
MN Mami - 2021 - bonndoc.ulb.uni-bonn.de
The remarkable advances achieved in both research and development of Data
Management as well as the prevalence of high-speed Internet and technology in the last few …
Management as well as the prevalence of high-speed Internet and technology in the last few …
Semantic units: organizing knowledge graphs into semantically meaningful units of representation
Background In today's landscape of data management, the importance of knowledge graphs
and ontologies is escalating as critical mechanisms aligned with the FAIR Guiding Principles …
and ontologies is escalating as critical mechanisms aligned with the FAIR Guiding Principles …