Mining multigranularity decision rules of concept cognition for knowledge graphs based on three-way decision
J Duan, G Wang, X Hu, D **a, D Wu - Information Processing & …, 2023 - Elsevier
Abstract Machine understanding and thinking require prior knowledge consisting of explicit
and implicit knowledge. The current knowledge base contains various explicit knowledge …
and implicit knowledge. The current knowledge base contains various explicit knowledge …
Online maintenance of evolving knowledge graphs with RDFS-based saturation and why-provenance support
K Belhajjame, MY Mejri - Journal of Web Semantics, 2023 - Elsevier
Enterprise RDF knowledge graphs are often built using extraction data pipelines that are fed
by several heterogeneous sources (relational databases, CSV files or even unstructured …
by several heterogeneous sources (relational databases, CSV files or even unstructured …
Transforming rdf-star to property graphs: A preliminary analysis of transformation approaches
RDF and property graph models have many similarities, such as using basic graph concepts
like nodes and edges. However, such models differ in their modeling approach, expressivity …
like nodes and edges. However, such models differ in their modeling approach, expressivity …
Transforming RDF-star to Property Graphs: A Preliminary Analysis of Transformation Approaches--extended version
RDF and property graph models have many similarities, such as using basic graph concepts
like nodes and edges. However, such models differ in their modeling approach, expressivity …
like nodes and edges. However, such models differ in their modeling approach, expressivity …
NPCS: Native Provenance Computation for SPARQL
The popularity of Knowledge Graphs (KGs) both in industry and academia owes credit to
their flexible data model, suitable for data integration from multiple sources. Several KG …
their flexible data model, suitable for data integration from multiple sources. Several KG …
eSPARQL: Representing and Reconciling Agnostic and Atheistic Beliefs in RDF-star Knowledge Graphs
Over the past few years, we have seen the emergence of large knowledge graphs
combining information from multiple sources. Sometimes, this information is provided in the …
combining information from multiple sources. Sometimes, this information is provided in the …
Knowledge engineering in the era of artificial intelligence
K Hose - European Conference on Advances in Databases and …, 2023 - Springer
Abstract Knowledge engineering with respect to knowledge graphs and graph data in
general is becoming a more and more essential component of intelligent systems. Such …
general is becoming a more and more essential component of intelligent systems. Such …
Knowledge graph (r) evolution and the web of data
K Hose - Proceedings of the 7th Workshop on Managing the …, 2021 - vbn.aau.dk
When querying knowledge over the Web we typically consider the Web of Data to be a static
point of reference that is always available and that never changes. However, when actually …
point of reference that is always available and that never changes. However, when actually …
Optimizing SPARQL queries over decentralized knowledge graphs
Abstract While the Web of Data in principle offers access to a wide range of interlinked data,
the architecture of the Semantic Web today relies mostly on the data providers to maintain …
the architecture of the Semantic Web today relies mostly on the data providers to maintain …
Concept cognition for knowledge graphs: Mining multi-granularity decision rule
J Duan, G Wang, X Hu, Q Liu, Q Jiang, H Zhu - Cognitive Systems …, 2024 - Elsevier
As part of cognitive intelligence, concept cognition for knowledge graphs aims to clearly
grasp the typical characteristics of the things referred to by the concept, which can provide …
grasp the typical characteristics of the things referred to by the concept, which can provide …