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The methods from the area of Formal Concept Analysis (or FCA) are usually used for conceptual-based exploratory data-mining tasks. One of the methods used in this area is based on one-sided fuzzification of standard approach, which provides the clusters of objects structured in concept hierarchy according to the specified set of fuzzy attributes. The limiting problem of FCA-based approaches is that...
The intent stability index represents an useful relevancy measure of the extracted patterns in the FCA data mining method. We describe this kind of relevancy measure for the so-called one-sided concept lattices, which represent a fuzzy generalization of the classical FCA. The basic properties of the stability index and some experimental results concerning this index conducted on randomly generated...
Generalized one-sided concept lattices (GOSCL) represent an FCA-like method for analysis of object-attribute models with different types of attributes. Since the number of concepts can be exponential with respect to the number of objects in a model, study of various reduction methods represents one of the most recognized problems in FCA. One of such reduction is possible, provided that a Moore co-family...
In this paper we provide a modification of one-sided concept lattices based on the usage of fuzzy separable modifiers. The proposed method is motivated by so-called fuzzy concept lattices with hedges and represents their slight modification. In fuzzy set theory, modifiers are often defined within the framework of linguistic variables, representing adverbs, while one-sided concept lattices provides...
In this paper we describe Generalized One-sided Concept Lattices (GOSCL) as facet-like structures. Facet-like structures occur in many computer science disciplines as some hierarchical structures. GOSCL constitute from (objects, properties) pairs known as the formal concepts. The hierarchical structure of formal concepts, ordered by the generalization and specialization among the concepts, forms a...
In this paper we provide the new version of algorithm for creation model called Generalized One-Sided Concept Lattice (GOSCL). This model provides the specific fuzzy version of data analytical method based on the approach known as Formal Concept Analysis (FCA), which supports data tables containing the multiple types of attributes defined as fuzzy sets. The acquisition of the FCA models is computationally...
This paper presents the hybrid approach for visualization of documents sets by the combination of hierarchical clustering method, based on the Growing Hierarchical Self-Organizing Maps algorithm, and Sammon projection. Algorithms based on the self-organizing maps provide robust clustering method suitable for visualization of larger number of documents into the grid-based 2D maps. Sammon projection...
In this paper we describe the possibility for usage of generalized version of one-sided (fuzzy) concept lattices, which represents analytical method from the area of Formal Concept Analysis (FCA), for joining of several simple object-attribute models. The main advantage of the algorithm for (so-called) Generalized One-sided Concept Lattices (GOSCL) is its possibility or ability to work with various...
The paper addresses the concept of Technology Enhanced Learning, which is in focus of the IT4KT project of the Technical University of Kosice. Namely, we present an approach towards the collaborative design and implementation of semantic structures that are capable to support an automation in selected educational processes, especially in mathematical and computer science disciplines. The resulting...
In this paper we provide experimental comparison on time complexity of algorithm for creation of Generalized One-Sided Concept Lattices according to the sparseness of the input data table between standard and sparse-based implementation. It is an incremental algorithm related to FCA (Formal Concept Analysis), which is ready to be used with various attribute types and to create so-called generalized...
In this paper we describe design and integration of ICT-based tools for achieving the traceability of information between several steps of collaborative policy modelling process proposed by the OCOPOMO project. This process combines collaborative creation a collaborative creation and analysis of narrative scenarios with agent-based simulation models. The policy model for a given domain is created...
In this paper we describe use of cloud computing platform for support of distributed creation of conceptual models based on the FCA (Formal Concept Analysis) framework. FCA is one of the approaches which can be applied in process of conceptual data analysis. Extension of classical FCA (binary table data) is (one-sided) fuzzy version that works with different types of lattice-based attributes (binary,...
In this paper we provide experimental study on time complexity of GOSCL algorithm according to the sparseness of the input data table. GOSCL is incremental algorithm for the creation of Generalized One-Sided Concept Lattices, which is related to well-known Formal Concept Analysis area, but with the possibility to work with different types of attributes and to produce one-sided concept lattice from...
This paper describes design and integration of several tools for ICT-based support of knowledge intensive activities within the process of collaborative policy modelling proposed by the project OCOPOMO. This process combines collaborative creation and analysis of narrative scenarios with agent-based simulation models. The policy model for a given domain is created iteratively using cooperation of...
In this paper we describe incremental algorithm for generalized one-sided concept lattices based on the Galois connections within Formal Concept Analysis (FCA) framework, which allows to analyse object-attribute models with different structures for truth values of attributes. Therefore, this method provide interesting opportunity for researcher or data analyzer to work with any type of attributes...
Searching for relevant documents in large sets of documents is one of the key tasks in the areas of semantic web and knowledge technologies. This paper deals with analysis and design of improvement for information retrieval (IR) using specific conceptual model automatically created from semantically non-annotated set of text documents. This conceptual model combines locally applied Formal Concept...
The paper describes a design of system architecture for support of collaborative policy modelling processes in electronic governance. The policy modelling processes, as complex and knowledge intensive activities, combine collaborative creation and analysis of narrative scenarios with agent-based simulation. The proposed architecture will support collaborative approach to the policy modelling (i.e...
This paper describes design and implementation aspects for extension of our original software system developed in Java for support of information retrieval and text mining with specialized execution engine for different type of tasks. Some of our experiences and specific requirements of the real applications lead us to idea give the system possibility to run the tasks in distributive way. The result...
In this article we describe an approach for semantic-based analysis of discussions within semantic-based groupware system (GWS) in SAKE project. SAKE (semantic agile knowledge-based e-government) is a STREP Project sponsored by the European Union starting March in 2006. The overall objective of SAKE is to specify, develop and deploy a holistic framework and supporting tools for an agile knowledge-based...
Formal concept analysis (FCA) is one of the approaches which can be applied in process of conceptual modeling in domain of text documents. FCA can be used for formal analysis of data tables and identification of similar objects - clusters (concepts). Extension of classic FCA (binary table data) is one-sided fuzzy version that works with real values in the object-attribute table (document- term matrix...
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