https://hdl.handle.net/2072/228904 2026-04-10T12:16:23Z https://hdl.handle.net/2072/353642 A massive data processing approach for effective trustworthiness in online learning groups Miguel Moneo, Jorge; Caballé Llobet, Santi; Xhafa, Fatos; Prieto Blázquez, Josep This paper proposes a trustworthiness-based approach for the design of secure learning activities in online learning groups. Although computer-supported collaborative learning has been widely adopted in many educational institutions over the last decade, there exist still drawbacks that limit its potential. Among these limitations, we investigate on information security vulnerabilities in learning activities, which may be developed in online collaborative learning contexts. Although security advanced methodologies and technologies are deployed in learning management systems, many security vulnerabilities are still not satisfactorily solved. To overcome these deficiencies, we first propose the guidelines of a holistic security model in online collaborative learning through an effective trustworthiness approach. However, as learners' trustworthiness analysis involves large amount of data generated along learning activities, processing this information is computationally costly, especially if required in real time. As the main contribution of this paper, we eventually propose a parallel processing approach, which can considerably decrease the time of data processing, thus allowing for building relevant trustworthiness models to support learning activities even in real time. https://hdl.handle.net/2072/352199 Se busca geobibliotecario: los datos geográficos entran en la biblioteca Granell Canut, Carlos; Aguilar Moreno, Estefanía The increased proliferation and accessibility of geographic data are changing the landscape of services based on geographic information. From the analysis of recent job offers posted in American university libraries, we discuss what could be the role of the information professional in this new context, with respect to the management and dissemination of geographic data collections, looking for synergies for mutual benefit between academic libraries and their information professionals and the geographic data community that uses geographic information systems (GIS). In fact, this activity would be one more among the data curation or data sets preservation tasks needed currently in many disciplines.; La mayor proliferación y accesibilidad de los datos geográficos están cambiando el panorama de servicios basados en información geográfica. A partir del análisis de recientes ofertas de trabajo en bibliotecas universitarias americanas se analiza cuál podría ser el rol del profesional de la información en este nuevo contexto, en cuanto a la gestión y difusión de las colecciones de datos geográficos, identificando sinergias para beneficio mutuo entre las bibliotecas universitarias con sus profesionales de la información y la comunidad que usa datos geográficos y sistemas de información geográfica (SIG). De hecho esta actividad sería una más, un caso particular, de las de curación de datos que se reclama para muchas disciplinas. https://hdl.handle.net/2072/348897 Combining simulation with a GRASP metaheuristic for solving the permutation flow-shop problem with stochastic processing times Ferone, Daniele; Gruler, Aljoscha; Festa, Paola; Juan Pérez, Ángel Alejandro Greedy Randomized Adaptive Search Procedures (GRASP) are among the most popular metaheuristics for the solution of combinatorial optimization problems. While GRASP is a relatively simple and efficient framework to deal with deterministic problem settings, many real-life applications experience a high level of uncertainty concerning their input variables or even their optimization constraints. When properly combined with the right metaheuristic, simulation (in any of its variants) can be an effective way to cope with this uncertainty. In this paper, we present a simheuristic algorithm that integrates Monte Carlo simulation into a GRASP framework to solve the permutation flow shop problem (PFSP) with random processing times. The PFSP is a well-known problem in the supply chain management literature, but most of the existing work considers that processing times of tasks in machines are deterministic and known in advance, which in some real-life applications (e.g., project management) is an unrealistic assumption. https://hdl.handle.net/2072/319122 JSONDiscoverer: Visualizing the schema lurking behind JSON documents Cánovas Izquierdo, Javier Luis; Cabot Sagrera, Jordi The so-called API economy is pushing more and more companies to provide open Web APIs to access their data, typically using the JavaScript Object Notation (JSON) as interchange data format. While JSON has been designed to be easy to read and parse, their structure is implicit. This poses a serious problem when consuming and integrating Web APIs from different sources since it forces us to manually analyze each individual API in detail. This paper presents JSONDiscoverer, a tool that alleviates this problem by discovering (and visualizing) the implicit schema of JSON documents as well as possible composition links among JSON-based Web APIs.