This is the first part of a large survey paper in which we analyze recent literature on Formal
Concept Analysis (FCA) and some closely related disciplines using FCA. We collected 1072 …

The processing of complex data is admittedly among the major concerns of knowledge
discovery from data (kdd). Indeed, a major part of the data worth analyzing is stored in …

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 …

The evolution of Service-Oriented Computing (SOC) provides more efficient software
development methods for building and engineering new value-added service-based …

Abstract Service-Oriented Computing (SOC) describes a specific paradigm of computing that
utilizes Web services as reusable components in order to develop new software …

Automated semantic web service composition is one of the critical research challenges of
service-oriented computing, since it allows users to create an application simply by …

Big data management is a key enabling factor for enterprises that want to compete in the
global market. Data coming from enterprise production processes, if properly analyzed, can …

Abstract Relational Concept Analysis (RCA) has been designed to classify sets of objects
described by attributes and relations between these objects. This is achieved by iterating on …

One of the main assets of the Service Oriented Architecture (SOA) is composition, which
consists in developing higher-level services by re-using well-known functionality provided …

In this paper, we consider data analysis methods for knowledge extraction from large water
data-sets. More specifically, we try to connect physico-chemical parameters and the …