FCA Tools Bundle - A Tool that Enables Dyadic and Triadic Conceptual Navigation

نویسندگان

  • Levente Lorand Kis
  • Christian Sacarea
  • Diana Troanca
چکیده

Formal Concept Analysis is a prominent field of applied mathematics handling collections of knowledge formal concepts which are derived from some basic data types, called formal contexts by using concept forming operators. One of the strengths of FCA is the elegant, intuitive and powerful graphical representation of landscapes of knowledge as concept lattices. Nevertheless, in case of triadic FCA (3FCA) for more than 20 years there was no automatic tool for graphical representation of triconcept sets. Moreover, the triangular representation of trilattices, used so far in 3FCA has several disadvantages. Besides the lack of clarity in representation, one major disadvantage is that not every trilattice has a triangular diagram representation. In this paper we focus on the problem of locally navigating in triconcept sets and propose a tool which implements this navigation paradigm. To the best of our knowledge this is the first tool which makes navigation in larger triconcepts sets possible, by flipping through a certain collection of concept lattices.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Conceptual Visualization and Navigation Methods for Polyadic Formal Concept Analysis

Conceptual knowledge is closely related to a deeper understanding of existing facts and relationships, but also to the argumentation and communication of why something happens in a particular way. Formal Concept Analysis (FCA) is the core of Conceptual Knowledge Processing. It emerged from applied mathematics and quickly developed into a powerful framework for knowledge representation. It is ba...

متن کامل

Towards a Navigation Paradigm for Triadic Concepts

The simple formalization and the intuitive graphical representation are main reasons for the growing popularity of Formal Concept Analysis (FCA). FCA gives the user the possibility to explore the structure of data and understand correlations and implications in the data set. Recently, triadic FCA (3FCA) has become increasingly popular, but exploring triadic conceptual landscapes is not easy, es...

متن کامل

A Reachability-based Navigation Paradigm for Triadic Concepts

Formal Concept Analysis offers a simple formalization for representing knowledge structures extracted from various data. Lately, the triadic case has become increasingly popular, given that data can often be interpreted in a triadic setting for further processing and analysis. However, visualization and navigation in triadic conceptual landscapes is not trivial and, so far, there are no tools i...

متن کامل

Using Conceptual Scaling in Formal Concept Analysis for Knowledge and Data Discovery in Medical Texts

Formal concept analysis (FCA) 10] is a technique for knowledge representation and unsupervised machine learning that has been applied to a wide variety of knowledge representation and exploration tasks in a disparate range of disciplines including civil engineeringg7], psychologyy8], and political sciencee9]. Several software tools have been developed to aid knowledge exploration using FCA. The...

متن کامل

Triadic Analysis: A Conceptual tool for Clinical Sociologists

This paper explores the utility of triadic analysis as a conceptual tool for clinical sociologists. Departing from earlier research on patterns of interaction, triads are emphasized over dyads as the structural basis of both microand macro-processes, and interdependency is recognized as a decisive influence in the formation and dynamics of triads. Clinical examples and applications of triadic a...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016