More and more weakly structured, and irregular data sources are becoming available every
day. The schema of these sources is useful for a number of tasks, such as query answering …

In this chapter, we introduce Formal Concept Analysis (FCA) and some of its extensions.
FCA is a formalism based on lattice theory aimed at data analysis and knowledge …

Abstract The fixpoints of Galois Connections form patterns in binary relational data, such as
object-attribute relations, that are important in a number of data analysis fields, including …

In this paper, we propose a novel data-driven schema for large-scale heterogeneous
knowledge graphs inspired by Formal Concept Analysis (FCA). We first extract the sets of …

In this paper, concept similarity in formal concept analysis (FCA) with many-valued contexts
is addressed. In particular, this work focuses on FCA many-valued contexts where attribute …

Rhizomer helps researchers and practitioners explore knowledge graphs available as
Semantic Web data by performing the three data analysis tasks: overview, zoom and filter …

Users currently face the problem that schema information for Linked Data is often not
available. If it is available, it tends to be incomplete or does not adequately represent the …

The rapid explosion of linked data has resulted into many weakly structured and incomplete
data sources, where typing information might be missing. On the other hand, type …

ABSTRACT RDF is the common data model to publish structured data on the Web. RDF
data sets are given as subject-predicateobject triples and typically are represented as …

The growing amount of data being published as Linked Data has a huge potential, but the
usage of this data is still cumbersome, especially for non-technical users. Visualizations can …