Production Linkages Between Informal and Formal Activities Considering Domestic and Imported Inputs: an Application of the Minimal-Flow-Analysis Method to Senegal.

We apply to the Senegalese input-output matrix of 1990, disagregated into formal and informal activities, a recently designed structural analytical method (Minimal-Flow-Analysis) which permits to depict the direct and indirect production likanges existing between activities.

Exploration tools in formal concept analysis

The development of conceptual knowledge systems specifically requests knowledge acquisition tools within the framework of formal concept analysis. In this paper, the existing tools are presented, and furhter developments are discussed.

Conceptual structures represented by conceptual graphs and formal concept analysis

Conceptual Graphs and Formal Concept Analysis have in common basic concerns: the focus on conceptual structures, the use of diagrams for supporting communication, the orientation by Peirce's Pragmatism, and the aim of representing and processing knowledge. These concerns open rich possibilities of interplay and integration. We discuss the philosophical foundations of both disciplines, and analyze their specific qualities. Based on this analysis, we discuss some possible approaches of interplay and integration.

Intelligent structuring and reducing of association rules with formal concept analysis

Association rules are used to investigate large databases. The analyst is usually confronted with large lists of such rules and has to find the most relevant ones for his purpose. Based on results about knowledge representation within the theoretical framework of Formal Concept Analysis, we present relatively small bases for association rules from which all rules can be deduced. We also provide algorithms for their calculation.

Efficient data mining based on formal concept analysis

Formal Concept Analysis is an unsupervised learning technique for conceptual clustering. We introduce the notion of iceberg concept lattices and show their use in Knowledge Discovery in Databases (KDD). Iceberg lattices are designed for analyzing very large databases. In particular they serve as a condensed representation of frequent patterns as known from association rule mining. In order to show the interplay between Formal Concept Analysis and association rule mining, we discuss the algorithm TITANIC. We show that iceberg concept lattices are a starting point for computing condensed sets of association rules without loss of information, and are a visualization method for the resulting rules.

Conceptual knowledge processing with formal concept analysis and ontologies

Among many other knowledge representations formalisms, Ontologies and Formal Concept Analysis (FCA) aim at modeling ‘concepts’. We discuss how these two formalisms may complement another from an application point of view. In particular, we will see how FCA can be used to support Ontology Engineering, and how ontologies can be exploited in FCA applications. The interplay of FCA and ontologies is studied along the life cycle of an ontology: (i) FCA can support the building of the ontology as a learning technique. (ii) The established ontology can be analyzed and navigated by using techniques of FCA. (iii) Last but not least, the ontology may be used to improve an FCA application.

Ontology merging with formal concept analysis

Ontologies have been established for knowledge sharing and are widely used as a means for conceptually structuring domains of interest. With the growing usage of ontologies, the problem of overlapping knowledge in a common domain becomes critical. In this short paper, we address two methods for merging ontologies based on Formal Concept Analysis: FCA-Merge and ONTEX. --- FCA-Merge is a method for merging ontologies following a bottom-up approach which offers a structural description of the merging process. The method is guided by application-specific instances of the given source ontologies. We apply techniques from natural language processing and formal concept analysis to derive a lattice of concepts as a structural result of FCA-Merge. The generated result is then explored and transformed into the merged ontology with human interaction. --- ONTEX is a method for systematically structuring the top-down level of ontologies. It is based on an interactive, top-down- knowledge acquisition process, which assures that the knowledge engineer considers all possible cases while avoiding redundant acquisition. The method is suited especially for creating/merging the top part(s) of the ontologies, where high accuracy is required, and for supporting the merging of two (or more) ontologies on that level.

Efficient mining of association rules based on formal concept analysis

Association rules are a popular knowledge discovery technique for warehouse basket analysis. They indicate which items of the warehouse are frequently bought together. The problem of association rule mining has first been stated in 1993. Five years later, several research groups discovered that this problem has a strong connection to Formal Concept Analysis (FCA). In this survey, we will first introduce some basic ideas of this connection along a specific algorithm, TITANIC, and show how FCA helps in reducing the number of resulting rules without loss of information, before giving a general overview over the history and state of the art of applying FCA for association rule mining.

Algorithmic Computation of Formal Fourier Series

KAAD (Katholischer Akademischer Ausländer-Dienst)

Creaciones en educaci??n infantil a partir de material de desecho II

Se presenta experiencia educativa que propone el fomento de los valores de educaci??n ambiental y cuidado de la naturaleza entre el alumnado. Se realiza en el CEIP Dolores Romero Pozo en Cenes de la Vega, Granada. Los objetivos son: transformar materiales de desecho en objetos ??tiles y adecuados para la educaci??n infantil; desarrollar la creatividad del profesorado para potenciarla en su alumnado; concienciar del provecho, utilidad e importancia del reciclado para el cuidado del medio ambiente; crear recursos y materiales de aula que puedan ser elaborados por el propio alumnado; fomentar un clima de comunicaci??n y di??logo entre el profesorado del centro.

La coeducaci??n en Educaci??n Infantil : 'vamos a jugar a la casita'

Se presenta experiencia educativa que propone la coeducaci??n como principio metodol??gico de sus pr??cticas educativas. Se realiza en la EEI Media Luna en Pinos Puente, Granada. Los objetivos son: concienciar al alumnado sobre el tema de g??nero y la tradicional desigualdad del reparto del trabajo en la familia; intentar que nuestro alumnado sea consciente de la necesidad de asumir responsabilidades por igual en todas las tareas cotidianas; exponer y analizar diferentes situaciones de discriminaci??n que ocurren diariamente: uso de un lenguaje 'machista', juegos, juguetes sexistas; descubrir en el entorno sociofamiliar diferentes situaciones de discriminaci??n; ofrecer una formaci??n en valores que promueva la igualdad y una verdadera coeducaci??n; favorecer la relaci??n escuela-familia como aspecto fundamental en la educaci??n de los alumnos y alumnas.

Materiales y actividades educativas en ingl??s para Educaci??n Infantil

Se presenta experiencia educativa que propone la creaci??n de medios de ense??anza de la materia de ingl??s para la etapa de Educaci??n Infantil. Se realiza en el CEIP Virgen del Rosario en Jayena, Granada.

Frutideportistas : una experiencia de educaci??n para la salud

Se presenta experiencia educativa que pretende generar una relaci??n entre alimentaci??n equilibrada y ejercicio f??sico. Se realiza en el CEIP San Sebasti??n en El Padul, Granada. Los objetivos son: motivar el consumo de frutas; valorar las ventajas nutritivas de las frutas; aprender normas de higiene relacionadas con el consumo de alimentos; establecer una relaci??n entre el consumo de frutas y la pr??ctica de actividad f??sica. El proceso consta de varias fases: detecci??n del problema a solucionar; an??lisis y propuesta de soluciones; puesta en pr??ctica; ejecuci??n.