Fuzzy Web Knowledge Aggregation, Representation, and Reasoning for Online Privacy and Reputation Management

A social Semantic Web empowers its users to have access to collective Web knowledge in a simple manner, and for that reason, controlling online privacy and reputation becomes increasingly important, and must be taken seriously. This chapter presents Fuzzy Cognitive Maps (FCM) as a vehicle for Web knowledge aggregation, representation, and reasoning. With this in mind, a conceptual framework for Web knowledge aggregation, representation, and reasoning is introduced along with a use case, in which the importance of investigative searching for online privacy and reputation is highlighted. Thereby it is demonstrated how a user can establish a positive online presence.

A Concept of Semantics Extraction from Web Data by Induction of Fuzzy Ontologies

Traditionally, ontologies describe knowledge representation in a denotational, formalized, and deductive way. In addition, in this paper, we propose a semiotic, inductive, and approximate approach to ontology creation. We define a conceptual framework, a semantics extraction algorithm, and a first proof of concept applying the algorithm to a small set of Wikipedia documents. Intended as an extension to the prevailing top-down ontologies, we introduce an inductive fuzzy grassroots ontology, which organizes itself organically from existing natural language Web content. Using inductive and approximate reasoning to reflect the natural way in which knowledge is processed, the ontology’s bottom-up build process creates emergent semantics learned from the Web. By this means, the ontology acts as a hub for computing with words described in natural language. For Web users, the structural semantics are visualized as inductive fuzzy cognitive maps, allowing an initial form of intelligence amplification. Eventually, we present an implementation of our inductive fuzzy grassroots ontology Thus,this paper contributes an algorithm for the extraction of fuzzy grassroots ontologies from Web data by inductive fuzzy classification.

The Web KnowARR Framework: Orchestrating Computational Intelligence with Graph Databases

This chapter presents fuzzy cognitive maps (FCM) as a vehicle for Web knowledge aggregation, representation, and reasoning. The corresponding Web KnowARR framework incorporates findings from fuzzy logic. To this end, a first emphasis is particularly on the Web KnowARR framework along with a stakeholder management use case to illustrate the framework’s usefulness as a second focal point. This management form is to help projects to acceptance and assertiveness where claims for company decisions are actively involved in the management process. Stakeholder maps visually (re-) present these claims. On one hand, they resort to non-public content and on the other they resort to content that is available to the public (mostly on the Web). The Semantic Web offers opportunities not only to present public content descriptively but also to show relationships. The proposed framework can serve as the basis for the public content of stakeholder maps.

The Strategic Role of the Sales Force: Perceptions of Senior Sales Executives

Current models of sales force strategy imply formidable information processing demands, which leads us to take a cognitive approach to studying the issue of sales force strategy. We focus on how top-level executives use mental models of sales force performance to simplify the issue of sales force strategy. We interviewed 74 senior executives responsible for their firms’ selling function using the repertory grid approach, as this methodology has been shown to be particularly effective at uncovering the collective cognitive maps on which executives’ decisions and behaviors are based. Executives identified a broad set of 37 strategic concepts that they felt distinguish the sales force efforts of directly competing companies. A second set of sales executives classified the 37 concepts into capabilities, resources, and organizational context concepts. Based on the classification results and feedback from both sets of executives, we developed research propositions for examining sales force strategy and provide directions for future research.

UMA NOVA CARTOGRAFIA COGNITIVA PARA O ENSINO DA COMUNICAÇÃO

O trabalho proposto é a montar um projeto exploratório funcional que parta da cartografia cognitiva, que é definida como a arte, teoria e técnica de construir mapas do conhecimento, visando com esta cartografia a sua aplicabilidade na estruturação de um conjunto de cursos/saberes da área da Comunicação. Assemelhado ao conceito de mapas conceituais, ou cognitivos, representam o conhecimento organizado e são compostos por conceitos. Este mapas foram desenvolvido a partir da década de setenta por vários pesquisadores. A tese experimento foi montada tendo como base os softwares de relacionamento por temas e interesses dentro de um ambiente de interatividade tridimensional , montado no conceito de arvore do conhecimento relacional. Esta experiência é construída em ambiente tridimensional com uso de softwares 3D que rodam como aplicativos de engines de vídeo games, que são motores gráficos. A base de dados e a interatividade de textos e tarefas é realizada sob a plataforma do MediaWiki, que é o software aberto que roda a Wikipédia. A plataforma de mapas roda dentro de um software MindJet MindManager e do CMAPS. As vídeo conferências são administradas pelo FlashMeeting, de Web conferência. A maioria deles são softwares abertos. Todos operando em sistemas presenciais ou de modulação EAD. A base conceitual está estruturada dentro de uma visão de educação disruptiva, que lança um novo modelo educacional baseado em mapas, visto dentro de uma abordagem de um mundo de múltiplas telas, um mundo da era hiper, um mundo hipermoderno, que tem como base uma cultura da era tecnológica, numa renovação dos conceitos de Cultura, agora revigorados à luz das novas tecnologias e da nova sociedade interligada em rede.

Strategic orientations in practice:Exploring the strategic belief structures of line-managers embedded in practice

Recently researchers have started to investigate the cognitive strategic orientations of individual top managers and have pointed out these may be key in determining the direction and success of their organizations in terms of performance, but they have been unable to effectively operationalize this notion in empirical research and this is holding up knowledge development. To make a contribution that helps overcome this limitation a theoretical framework is developed which specifies the different possible cognitive strategic orientations of top managers as well as those of managers at lower organizational levels involved in the strategy process. This theoretical framework is investigated in the empirical phase of the study into strategic orientations in practice. Additional contributions to knowledge of strategic orientation are made in three main domains. Firstly, current knowledge of strategic orientation is largely limited to analysis at the level of the firm whereas there is a lack of understanding of any relationships with practice at lower organizational levels. The exploratory research undertaken for this thesis contributes to new knowledge of different rational, developmental and interactive strategic orientations of front-line managers and this contributes to a cognitive explanation for emergent strategy linked to strategy processes embedded in practice. In theorising the presence of different strategic orientations in practice the discussion highlights the importance of network and spatial embeddedness within enacted environments. Secondly, a contribution to further knowledge of the links between strategy processes and the content of strategies within a retail context is made. The research highlights different strategy processes used in practice by retail front-line managers in a branch network of stores and these are linked to consequences such as different objectives, performance expectations and the fulfilment of personal goals. Thirdly, a contribution to research methodology is made by addressing problems associated with the comparison of cognitive maps.

Dificultades del profesorado para planificar, coordinar y evaluar competencias claves. Un análisis desde la Inspección de Educación.

Este artículo presenta una investigación en la que se analizan las dificultades del profesorado para planificar, coordinar y evaluar competencias claves en una muestra de 23 centros educativos. El tema tiene hondas repercusiones ya que una mala praxis educativa de las competencias claves puede conculcar uno de los derechos fundamentales del alumnado a ser evaluado de forma objetiva (LODE: Art.6b y RD 732/1995: Art. 13.1) y poder superar las pruebas de evaluación consideradas necesarias para la obtención del título académico mínimo que otorga el estado español. La investigación se ha desarrollado desde una doble perspectiva metodológica; en primer lugar, es una investigación descriptiva en la que presentamos las características fundamentales de las competencias claves y la normativa básica para su desarrollo y evaluación. En segundo lugar,  aplicamos un procedimiento de análisis con una doble vertiente cualitativa mediante el empleo del programa Atlas-Ti y del enfoque reticular-categorial del análisis de redes sociales con la aplicación de UCINET y el visor yED Graph Editor para abordar el análisis de las principales dificultades y obstáculos detectados. Los resultados muestran que existen serias dificultades en las tres dimensiones analizadas: "planificación", "coordinación" y "evaluación" de competencias clave; especialmente en la necesidad de formación del profesorado, en la evaluación de las competencias, en la metodología para su desarrollo y en los procesos de coordinación interna para su consecución en los centros educativos.

Les liens entre les émotions, les médias et la mobilisation sociale : une étude de cas sur la révolution égyptienne en 2011

Ce mémoire porte sur les liens entre les médias, les émotions et la séquence d’événements lors d’une mobilisation sociale. Nous avons fait une étude de cas sur la révolution égyptienne de 2011. L’objectif est de comprendre comment les gens se mobilisent lors d’un événement de cet ordre. Au niveau théorique, nous explorons les travaux de Castells (2012) sur les mouvements de foule. Nous présentons la théorie d’intelligence affective pour résumer ce que les chercheurs ont dit sur la place des émotions en temps de mobilisation. En ce qui concerne la méthodologie, nous avons effectué des entrevues semi-structurées avec des Égyptiens qui ont participé à la révolution de 2011 ou l’ont suivie. Nous utilisons des cartes cognitives pour comprendre leur expérience. Une carte cognitive est une analyse qui vise à révéler les représentations, soit les liens que voient les personnes entre différentes composantes. Les résultats de cette recherche semblent illustrés le fait qu’au début de la révolution, les gens ont surtout utilisé Facebook pour en apprendre sur les manifestations. Plus tard, autres formes de communication ont pris de l’importance pour s’informer sur ce qui se passait dans le pays et pour mobiliser les gens. Par ailleurs, de la colère s’est fait sentir à la fois pendant et avant la révolution. La discussion a permis d’analyser la mobilisation sociale avec l’arrivée du web 2.0 et de s’interroger sur ce phénomène ainsi que sur l’importance de la communication interpersonnelle et des émotions durant une révolution.

Les liens entre les émotions, les médias et la mobilisation sociale : une étude de cas sur la révolution égyptienne en 2011

Ce mémoire porte sur les liens entre les médias, les émotions et la séquence d’événements lors d’une mobilisation sociale. Nous avons fait une étude de cas sur la révolution égyptienne de 2011. L’objectif est de comprendre comment les gens se mobilisent lors d’un événement de cet ordre. Au niveau théorique, nous explorons les travaux de Castells (2012) sur les mouvements de foule. Nous présentons la théorie d’intelligence affective pour résumer ce que les chercheurs ont dit sur la place des émotions en temps de mobilisation. En ce qui concerne la méthodologie, nous avons effectué des entrevues semi-structurées avec des Égyptiens qui ont participé à la révolution de 2011 ou l’ont suivie. Nous utilisons des cartes cognitives pour comprendre leur expérience. Une carte cognitive est une analyse qui vise à révéler les représentations, soit les liens que voient les personnes entre différentes composantes. Les résultats de cette recherche semblent illustrés le fait qu’au début de la révolution, les gens ont surtout utilisé Facebook pour en apprendre sur les manifestations. Plus tard, autres formes de communication ont pris de l’importance pour s’informer sur ce qui se passait dans le pays et pour mobiliser les gens. Par ailleurs, de la colère s’est fait sentir à la fois pendant et avant la révolution. La discussion a permis d’analyser la mobilisation sociale avec l’arrivée du web 2.0 et de s’interroger sur ce phénomène ainsi que sur l’importance de la communication interpersonnelle et des émotions durant une révolution.

MAPAS COGNITIVOS APRENDIZAJES DESDE LA VIVENCIA ESPACIAL

El artículo integra los marcos teóricos de la Geografía de la Percepción y el aprendizaje significativo mediante una secuencia didáctica para la enseñanza de la cartografía en el curso Didáctica de los Estudios Sociales para educación Básica, de la carrera Diplomado en pedagogía con acento en I y II ciclos de la Educación general Básica, Universidad Nacional.  El objetivo general se centró en analizar la utilidad del mapa cognitivo en la enseñanza de la cartografía, para contrastar con otos métodos tradicionales.  Los resultados revelan que las configuraciones espaciales representadas en los mapas cognitivos se asemejan muy poco a las representaciones cartográficas convencionales, no obstante la metodología implementada produce aprendizaje significativoPalabras claves: Geografía de la Percepción-Aprendizaje significativo-Secuencia didáctica-Mapa cognitivo-Enseñanza de la cartografía.Abstract:The article comprises the theoretical frameworks of the Geography of Perception and significant learning by means of a didactic sequence for the teaching of cartography in the Didactic course of Social Studies for Basic education, the Diploma course of study in pedagogy with emphasis on cycles I and II of general Basic Education,  Universidad Nacional.  The general objective is focused on analyzing the usefulness of the cognitive map in the teaching of cartography in order to contrast it other traditional methods. The results reveal that the spatial configurations represented in the cognitive maps bear little resemblance to the conventional cartographic representations. Nevertheless, the methodology implemented produces significant learning.Key Words: Geography of Perception, significant learning, didactic sequence, cognitive map, cartography education, cartography.

Future chemistry teachers use of knowledge dimensions and high-order cognitive skills in pre-laboratory concept maps

This poster describes a pilot case study, which aim is to study how future chemistry teachers use knowledge dimensions and high-order cognitive skills (HOCS) in their pre-laboratory concept maps to support chemistry laboratory work. The research data consisted of 168 pre-laboratory concept maps that 29 students constructed as a part of their chemistry laboratory studies. Concept maps were analyzed by using a theory based content analysis through Anderson & Krathwohls' learning taxonomy (2001). This study implicates that novice concept mapper students use all knowledge dimensions and applying, analyzing and evaluating HOCS to support the pre-laboratory work.

Tracking the evolution of waste recycling research using overlay maps of science

Tracking the evolution of research in waste recycling science (WRS) can be valuable for environmental agencies, as well as for recycling businesses. Maps of science are visual, easily readable representations of the cognitive structure of a branch of science, a particular area of research or the global spectrum of scientific production. They are generally built upon evidence collected from reliable sources of information, such as patent and scientific publication databases. This study uses the methodology developed by Rafols et al. (2010) to make a “double overlay map” of WRS upon a basemap reflecting the cognitive structure of all journal-published science, for the years 2005 and 2010. The analysis has taken into account the cognitive areas where WRS articles are published and the areas from where it takes its intellectual nourishing, paying special attention to the growing trends of the key areas. Interpretation of results lead to the conclusion that extraction of energy from waste will probably be an important research topic in the future, along with developments in general chemistry and chemical engineering oriented to the recovery of valuable materials from waste. Agricultural and material sciences, together with the combined economics, politics and geography field, are areas with which WRS shows a relevant and ever increasing cognitive relationship.

Speaker Normalization Using Cortical Strip Maps: A Neural Model for Steady State Vowel Identification

Auditory signals of speech are speaker-dependent, but representations of language meaning are speaker-independent. Such a transformation enables speech to be understood from different speakers. A neural model is presented that performs speaker normalization to generate a pitchindependent representation of speech sounds, while also preserving information about speaker identity. This speaker-invariant representation is categorized into unitized speech items, which input to sequential working memories whose distributed patterns can be categorized, or chunked, into syllable and word representations. The proposed model fits into an emerging model of auditory streaming and speech categorization. The auditory streaming and speaker normalization parts of the model both use multiple strip representations and asymmetric competitive circuits, thereby suggesting that these two circuits arose from similar neural designs. The normalized speech items are rapidly categorized and stably remembered by Adaptive Resonance Theory circuits. Simulations use synthesized steady-state vowels from the Peterson and Barney [J. Acoust. Soc. Am. 24, 175-184 (1952)] vowel database and achieve accuracy rates similar to those achieved by human listeners. These results are compared to behavioral data and other speaker normalization models.

Vector Associative Maps: Unsupervised Real-time Error-based Learning and Control of Movement Trajectories

This article describes neural network models for adaptive control of arm movement trajectories during visually guided reaching and, more generally, a framework for unsupervised real-time error-based learning. The models clarify how a child, or untrained robot, can learn to reach for objects that it sees. Piaget has provided basic insights with his concept of a circular reaction: As an infant makes internally generated movements of its hand, the eyes automatically follow this motion. A transformation is learned between the visual representation of hand position and the motor representation of hand position. Learning of this transformation eventually enables the child to accurately reach for visually detected targets. Grossberg and Kuperstein have shown how the eye movement system can use visual error signals to correct movement parameters via cerebellar learning. Here it is shown how endogenously generated arm movements lead to adaptive tuning of arm control parameters. These movements also activate the target position representations that are used to learn the visuo-motor transformation that controls visually guided reaching. The AVITE model presented here is an adaptive neural circuit based on the Vector Integration to Endpoint (VITE) model for arm and speech trajectory generation of Bullock and Grossberg. In the VITE model, a Target Position Command (TPC) represents the location of the desired target. The Present Position Command (PPC) encodes the present hand-arm configuration. The Difference Vector (DV) population continuously.computes the difference between the PPC and the TPC. A speed-controlling GO signal multiplies DV output. The PPC integrates the (DV)·(GO) product and generates an outflow command to the arm. Integration at the PPC continues at a rate dependent on GO signal size until the DV reaches zero, at which time the PPC equals the TPC. The AVITE model explains how self-consistent TPC and PPC coordinates are autonomously generated and learned. Learning of AVITE parameters is regulated by activation of a self-regulating Endogenous Random Generator (ERG) of training vectors. Each vector is integrated at the PPC, giving rise to a movement command. The generation of each vector induces a complementary postural phase during which ERG output stops and learning occurs. Then a new vector is generated and the cycle is repeated. This cyclic, biphasic behavior is controlled by a specialized gated dipole circuit. ERG output autonomously stops in such a way that, across trials, a broad sample of workspace target positions is generated. When the ERG shuts off, a modulator gate opens, copying the PPC into the TPC. Learning of a transformation from TPC to PPC occurs using the DV as an error signal that is zeroed due to learning. This learning scheme is called a Vector Associative Map, or VAM. The VAM model is a general-purpose device for autonomous real-time error-based learning and performance of associative maps. The DV stage serves the dual function of reading out new TPCs during performance and reading in new adaptive weights during learning, without a disruption of real-time operation. YAMs thus provide an on-line unsupervised alternative to the off-line properties of supervised error-correction learning algorithms. YAMs and VAM cascades for learning motor-to-motor and spatial-to-motor maps are described. YAM models and Adaptive Resonance Theory (ART) models exhibit complementary matching, learning, and performance properties that together provide a foundation for designing a total sensory-cognitive and cognitive-motor autonomous system.

Fuzzy ARTMAP: A Neural Network Architecture for Incremental Supervised Learning of Analog Multidimensional Maps

A new neural network architecture is introduced for incremental supervised learning of recognition categories and multidimensional maps in response to arbitrary sequences of analog or binary input vectors. The architecture, called Fuzzy ARTMAP, achieves a synthesis of fuzzy logic and Adaptive Resonance Theory (ART) neural networks by exploiting a close formal similarity between the computations of fuzzy subsethood and ART category choice, resonance, and learning. Fuzzy ARTMAP also realizes a new Minimax Learning Rule that conjointly minimizes predictive error and maximizes code compression, or generalization. This is achieved by a match tracking process that increases the ART vigilance parameter by the minimum amount needed to correct a predictive error. As a result, the system automatically learns a minimal number of recognition categories, or "hidden units", to met accuracy criteria. Category proliferation is prevented by normalizing input vectors at a preprocessing stage. A normalization procedure called complement coding leads to a symmetric theory in which the MIN operator (Λ) and the MAX operator (v) of fuzzy logic play complementary roles. Complement coding uses on-cells and off-cells to represent the input pattern, and preserves individual feature amplitudes while normalizing the total on-cell/off-cell vector. Learning is stable because all adaptive weights can only decrease in time. Decreasing weights correspond to increasing sizes of category "boxes". Smaller vigilance values lead to larger category boxes. Improved prediction is achieved by training the system several times using different orderings of the input set. This voting strategy can also be used to assign probability estimates to competing predictions given small, noisy, or incomplete training sets. Four classes of simulations illustrate Fuzzy ARTMAP performance as compared to benchmark back propagation and genetic algorithm systems. These simulations include (i) finding points inside vs. outside a circle; (ii) learning to tell two spirals apart; (iii) incremental approximation of a piecewise continuous function; and (iv) a letter recognition database. The Fuzzy ARTMAP system is also compared to Salzberg's NGE system and to Simpson's FMMC system.