Automatic definition of engineer archetypes: A text mining approach

With the rapid and continuous advancements in technology, as well as the constantly evolving competences required in the field of engineering, there is a critical need for the harmonization and unification of engineering professional figures or archetypes. The current limitations in tymely defining and updating engineers' archetypes are attributed to the absence of a structured and automated approach for processing educational and occupational data sources that evolve over time. This study aims to enhance the definition of professional figures in engineering by automating archetype definitions through text mining and adopting a more objective and structured methodology based on topic modeling. This will expand the use of archetypes as a common language, bridging the gap between educational and occupational frameworks by providing a unified and up-to-date engineering professional figure tailored to a specific period, specialization type, and level. We validate the automatically defined industrial engineer archetype against our previously manually defined profile

Propuesta de aplicación de nuevos enfoques de análisis de competencias y perfiles profesionales digitales

El objetivo principal de esta tesis es proponer un nuevo enfoque para el análisis de competencias y perfiles profesionales en el ámbito de las tecnologías de la Información y las Comunicaciones (TIC). La revisión de los métodos de investigación de las contribuciones existentes en el área revela limitaciones y oportunidades de mejora de los resultados del análisis de perfile TIC. Los principales problemas detectados que provocan baja precisión y representatividad en los resultados de análisis de perfiles profesionales son: a) ausencia de terminología y conceptos homogéneos y bien definidos vinculados a modelos o marcos competenciales estándar o ampliamente aceptados, b) limitaciones en la variedad de las fuentes de información y de tamaño y representatividad de los conjuntos de datos para el análisis, c) limitaciones en el diseño y la eficiencia de la recogida de datos, excesivamente basada en métodos manuales y d) análisis excesivamente básico de los datos recogidos con cuestionarios. Por suerte, especialmente en la Unión Europea, el marco de referencia laboral europea ESCO y el estándar EN16234 permiten contar con una terminología homogénea y bien definida en cuanto a competencias, habilidades, conocimientos y actitudes para perfiles profesionales TIC. El modelo Skills Match resultante de un proyecto europeo ofrece una sólida referencia para soft skills. La herramienta OVATE de CEDEFOP permite el análisis de millones de ofertas de trabajo en línea con terminología ESCO y la replicación de la base de datos de ESCO permite consultas sofisticadas de la información de esta clasificación para los perfiles TIC. La aplicación de estas opciones y de otras mejoras metodológicas ha permitido confirmar la mejora de los análisis presentados en tres publicaciones de impacto, con mayor representatividad y tamaño de los datos, una estrecha vinculación a los modelos de referencia existentes y una generación de resultados más sofisticados en forma de marcos competenciales. Gracias a esta confirmación se abre una línea de trabajo para ampliar el alcance y la solidez de los estudios de los perfiles profesionales TIC

Role of Semantic web in the changing context of Enterprise Collaboration

In order to compete with the global giants, enterprises are concentrating on their core competencies and collaborating with organizations that compliment their skills and core activities. The current trend is to develop temporary alliances of independent enterprises, in which companies can come together to share skills, core competencies and resources. However, knowledge sharing and communication among multidiscipline companies is a complex and challenging problem. In a collaborative environment, the meaning of knowledge is drastically affected by the context in which it is viewed and interpreted; thus necessitating the treatment of structure as well as semantics of the data stored in enterprise repositories. Keeping the present market and technological scenario in mind, this research aims to propose tools and techniques that can enable companies to assimilate distributed information resources and achieve their business goals

Generating rules from data mining for collaboration moderator services

A Moderator is a knowledge based system that supports collaborative working by raising awareness of the priorities and requirements of other team members. However, the amount of advice a Moderator can provide is limited by the knowledge it contains on team members. The use of data mining techniques can contribute towards automating the process of knowledge acquisition for a Moderator and enable hidden data patterns and relationships to be discovered to facilitate the moderation process. A novel approach is presented, consisting of a knowledge discovery framework which provides a semi-automatic methodology to generate rules by inserting relationships discovered as a result of data mining into a generic template. To demonstrate the knowledge discovery framework methodology an application case is described. The application case acquires knowledge for a Moderator to make project partners aware of how to best formulate a proposal for a European research project by data mining summaries of successful past projects. Findings from the application case are presented

The future of Cybersecurity in Italy: Strategic focus area

This volume has been created as a continuation of the previous one, with the aim of outlining a set of focus areas and actions that the Italian Nation research community considers essential. The book touches many aspects of cyber security, ranging from the definition of the infrastructure and controls needed to organize cyberdefence to the actions and technologies to be developed to be better protected, from the identification of the main technologies to be defended to the proposal of a set of horizontal actions for training, awareness raising, and risk management

Big Data Analytics National Educational System Monitoring and Decision Making

This paper reviews the applications of big data in supporting monitoring and decision making in the National Educational System. It describes different types of monitoring methodologies and explores the opportunities, challenges and benefits of incorporating big data applications in order to study the National Educational System. This approach allows to analyze schools as entities, which included in a local context with specific social, economic, and cultural development features. In addition, the paper attempts to identify the prerequisites that support the implementation of data analysis in the national educational system. This review reveals that there are several opportunities for using big data (structured and unstructured information) in the educational system, in order to improve strategic multidimensional knowledge for decision making and developing educational policies; however, there are still many issues and challenges that need to be addressed so as to achieve a better use of this technology

Application of Text Analytics in Public Service Co-Creation: Literature Review and Research Framework

The public sector faces several challenges, such as a number of external and internal demands for change, citizens' dissatisfaction and frustration with public sector organizations, that need to be addressed. An alternative to the traditional top-down development of public services is co-creation of public services. Co-creation promotes collaboration between stakeholders with the aim to create better public services and achieve public values. At the same time, data analytics has been fuelled by the availability of immense amounts of textual data. Whilst both co-creation and TA have been used in the private sector, we study existing works on the application of Text Analytics (TA) techniques on text data to support public service co-creation. We systematically review 75 of the 979 papers that focus directly or indirectly on the application of TA in the context of public service development. In our review, we analyze the TA techniques, the public service they support, public value outcomes, and the co-creation phase they are used in. Our findings indicate that the TA implementation for co-creation is still in its early stages and thus still limited. Our research framework promotes the concept and stimulates the strengthening of the role of Text Analytics techniques to support public sector organisations and their use of co-creation process. From policy-makers' and public administration managers' standpoints, our findings and the proposed research framework can be used as a guideline in developing a strategy for the designing co-created and user-centred public services