Knowledge Management for Informally Structured Domains: Challenges and Proposals

Eliciting requirements of products or solutions in informally structured domains is a highly creative and complex activity due to the inherent characteristics of these domains, such as the great quantities of tacit knowledge used by domain specialists, the dynamic interaction between domain specialists and their environment in order to solve problems, the necessity of these solutions of products to be developed by teams of specialists and the asymmetry of knowledge between domain specialists and requirements engineers. The knowledge management discipline promotes an integrated approach in order to face these challenges; therefore, a strategy for addressing requirements elicitation that incorporates techniques and methods of this discipline has been proposed as a serious approach to deal with those challenges. The valuable results of the application of the strategy in real cases prove empirical insights about its utility

Determinación de factores influyentes sobre una respuesta en un dominio poco estructurado

This report focuses on results obtained from a classification technique applied to time series data in a medical ill-structured The statistical analysis and classification --in ill-structured-- of such data are often inadequate because of the intrinsic characteristics of those domains. The database in this analysis contains information relative to patients with major depressive disorders or esquizofrenia; as a consequence, a high quantity of database variables contain data corresponding to measures taken in different instant of time, making curves. For this reason we are motivated about how we can establish a useful classification technique of curves in a medical ill-structured domain.Postprint (published version

Toward Optimization of Medical Therapies with a Little Help from Knowledge Management

This chapter emphasizes the importance of identifying and managing knowledge from Informally Structured Domains, especially in the medical field, where very short and repeated serial measurements are often present. This information is made up of attributes of both patients and their treatments that influence their state of health and usually includes measurements of various parameters taken at different times during the duration of treatment and usually after the application of the therapeutic resource. The chapter communicates the use of the KDSM methodology through a case study and the importance of paying attention to the characteristics of the domain to perform appropriate knowledge management in the domain

Applying clustering based on rules on WHO-DAS II for knowledge discovery on functional disabilities

The senior citizens represent a fast growing proportion of the population in Europe and other developed areas. This increases the proportion of persons with disability and reducing quality of life. The concept of disability itself is not always precise and quantifiable. To improve agreement on the concept of disability, the World Health Organization (WHO) developed a clinical test WHO Disability Assessment Schedule, (WHO-DASII) that is understood to include physical, mental, and social well-being, as a generic measure of functioning. From the medical point of view, the purpose of this work is to extract knowledge on the performance of the test WHO-DASII on the basis of a sample of neurological patients from an Italian hospital. This Knowledge Discovery problem has been faced by using clustering based on rules, a technique stablished on 1994 by Gibert which combines some Inductive Learning (from AI) methods with Statistics to extract knowledge on ill-structured domains (that is complex domains where consensus is not achieved, like is the case). So, in this paper, the results of applying this technique to the WHO-DASII results is presented.Postprint (published version

An Interesting Adventure accompanied by CMCg.I model.

<p>This book explores the challenges facing individuals and societies in an ever-evolving world influenced by science, technology, nature and society. Emphasising the central role of innovation, particularly in the cognitive era, the book explores the use of cognitive and innovative solutions to address complex problems. It highlights the importance of capitalising on knowledge, especially tacit and highly specialised knowledge, distributed across collaborative networks. The intricate dynamics of a cognitive ecosystem, bridging physical and cyberspace, underline the need for effective communication between beneficiaries and solution providers. A critical focus is placed on the emergence of the cognitive solutions provider entity, comprising cognitive architects, cognitive analysts and information technology specialists. These specialists face the challenges of understanding beneficiaries' needs, eliciting and managing highly specialised knowledge, and delivering cognitive or innovative solutions. The book highlights the complex orchestration required for cognitive solutions, which necessitates a symbiotic relationship between solution providers and collaborative networks within the cognitive ecosystem. The book also examines the unique characteristics of informal structure domains within the Cognitive Ecosystem, highlighting the challenges in requirements analysis due to the abundance of tacit knowledge. It emphasises the importance of appropriate knowledge requirements for tailored solutions, challenging the notion that requirements analysis is exclusive to software engineering. The primary purpose of the book is to raise awareness about the acquisition of appropriate knowledge requirements, emphasising their crucial role in minimising the risk of failure in the acquisition of cognitive solutions. It advocates an open conceptual model for cognitive innovation that is aligned with the real needs of the beneficiaries. The book also addresses the dynamic nature of the Cognitive Era, emphasising the need for smart technologies and innovation processes. Finally, the book draws inspiration from years of experience in developing a conceptual model for cognitive innovation that has successfully identified appropriate knowledge requirements for implementing cognitive solutions. By sharing these experiences, the book aims to inspire future innovators in navigating the complexities of the Cognitive Era. The formalised support provided by the Conceptual Model is highlighted as a fundamental tool for systematic knowledge management, sharing and formalisation, enabling Cognitive Architects, Cognitive Analysts and Solution Providers to deliver impactful Cognitive Solutions.</p&gt

Ratio Intelligendi

Ratio Intelligendi o idea de la Inteligencia es una columna que trata temas dónde el autor identifica la participación de inteligencia humana o artificial como impulsoras de cambios, tranformadoras de situaciones o solucionadoras de necesidades o problemas. Lo anterior enmarcado por una revolución digital impulsada por el rápido desarrollo de las tecnologías de la información y las comunicaciones (TIs o TICs) dónde innovación es factor común

Inteligencia Artificial

Inteligencia Artificial aplicada en la simulación de procesos de negociación es el tema que llevó a, uno de mis ilustres alumnos, el joven Emmanuel Cortez Samaniego del programa de Ingeniería en Sistemas Computacionales de la UACJ a realizar: Politik-Tronn

Integración de grupos de trabajo con apoyo de C4.5

El perfil de una persona respecto a su desempeño al realizar diversas actividades en áreas diferentes, en lo individual o trabajando en equipo, es de suma importancia para un negocio u organización, ya que conociendo los perfiles de las personas se pueden integrar grupos de trabajo más eficientes. De las pruebas de perfilado de personalidad, la DISC es una de las más utilizadas por los departamentos de recursos humanos. Sin embargo, todos los test de perfilado son altamente subjetivos, por lo que con frecuencia un perfil puede ser indeterminado. En este artículo se comparte el resultado de utilizar el C4.5, un algoritmo de clasificación supervisada, como apoyo a los departamentos de recursos humanos y se determina, de acuerdo al test de personalidad DISC, la más adecuada integración

Cognitive Architecture: The Key to AI-Based Digital Transformation in Organizations

The objective of this paper is to present a framework of work for organizations to became cognitive systems through the KMoS-RE systematic knowledge management process. A summary of the application of the framework in a freight company is presented. Promising results provide evidence of the usefulness of the framework in the era of AI-based digital transformatio