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Found 8 papers, 3 papers with code
Empirical Analysis of Foundational Distinctions in Linked Open Data
For example, distinctions such as whether an entity is inherently a class or an individual, or whether it is a physical object or not, are hardly expressed in the data, although they have been largely studied and formalised by foundational ontologies (e. g. DOLCE, SUMO).
Observing LOD using Equivalent Set Graphs: it is mostly flat and sparsely linked
This paper presents an empirical study aiming at understanding the modeling style and the overall semantic structure of Linked Open Data.
A Reference Software Architecture for Social Robots
The ultimate goal of this work is to establish a common ground based on a reference software architecture to allow to easily reuse robotic software components in order to rapidly develop, implement, and personalise Social Robots.
Knowledge Graphs Evolution and Preservation -- A Technical Report from ISWS 2019
Although linked open data (LOD) is one knowledge graph, it is the closest realisation (and probably the only one) to a public FAIR Knowledge Graph (KG) of everything.
Facade-X: an opinionated approach to SPARQL anything
The Semantic Web research community understood since its beginning how crucial it is to equip practitioners with methods to transform non-RDF resources into RDF.
Extraction of common conceptual components from multiple ontologies
Understanding large ontologies is still an issue, and has an impact on many ontology engineering tasks.
Pattern-based Visualization of Knowledge Graphs
We present a novel approach to knowledge graph visualization based on ontology design patterns.
Uncovering Values: Detecting Latent Moral Content from Natural Language with Explainable and Non-Trained Methods
Moral values as commonsense norms shape our everyday individual and community behavior.
