Feature location aims at locating pieces of code that implement a given set of features (requirements). It is a necessary first step in every program comprehension and maintenanc...
The study of concept formation and learning is a central topic in cognitive informatics. Formal concept analysis can be viewed as an approach on this topic based on a formal conte...
After introducing some basic concepts of Web services and the definition of their relationships, we formally define the problem of managing and retrieving of Web services. This pa...
Formal concept analysis has become an active field of study for data analysis and knowledge discovery. A formal concept C is determined by its extent (the set of objects that fall...
As programs evolve, newly added functionality sometimes no longer aligns with the original design, ending up scattered across the software system. Aspect mining tries to identify ...
— We study similarity in formal concept analysis of data tables with fuzzy attributes. We focus on similarity related to attribute implications, i.e. rules A ⇒ B describing dep...
This paper describes a clustering method for organizing in semantic classes a list of terms. The experiments were made using a POS annotated corpus, the ACL Anthology, which consis...
Pablo Gamallo, Gabriel Pereira Lopes, Alexandre Ag...
Formal concept analysis (FCA) is a method of exploratory data analysis. The data is in the form of a table describing relationship between objects (rows) and attributes (columns), ...
Abstract. We provide an interactive method for knowledge acquisition combining approaches from description logic and formal concept analysis. Based on present data, hypothetical ru...
Designing and refining ontologies becomes a tedious task, once the boundary to real-world-size knowledge bases has been crossed. Hence semi-automatic methods supporting those task...