Enriching ontological user profiles with tagging history for multi-domain recommendations

Many advanced recommendation frameworks employ ontologies of various complexities to model individuals and items, providing a mechanism for the expression of user interests and the representation of item attributes. As a result, complex matching techniques can be applied to support individuals in the discovery of items according to explicit and implicit user preferences. Recently, the rapid adoption of Web2.0, and the proliferation of social networking sites, has resulted in more and more users providing an increasing amount of information about themselves that could be exploited for recommendation purposes. However, the unification of personal information with ontologies using the contemporary knowledge representation methods often associated with Web2.0 applications, such as community tagging, is a non-trivial task. In this paper, we propose a method for the unification of tags with ontologies by grounding tags to a shared representation in the form of Wordnet and Wikipedia. We incorporate individuals' tagging history into their ontological profiles by matching tags with ontology concepts. This approach is preliminary evaluated by extending an existing news recommendation system with user tagging histories harvested from popular social networking sites

CORE: a tool for collaborative ontology reuse and evaluation

Ontology evaluation can be defined as assessing the quality and the adequacy of an ontology for being used in a specific context, for a specific goal. In this work, a tool for Collaborative Ontology Reuse and Evaluation (CORE) is presented. The system receives an informal description of a semantic domain and determines which ontologies, from an ontology repository, are the most appropriate to describe the given domain. For this task, the environment is divided into three main modules. The first component receives the problem description represented as a set of terms and allows the user to refine and enlarge it using WordNet. The second module applies multiple automatic criteria to evaluate the ontologies of the repository and determine which ones fit best the problem description. A ranked list of ontologies is returned for each criterion, and the lists are combined by means of rank fusion techniques that combine the selected criteria. A third component of the system uses manual user evaluations of the ontologies in order to incorporate a human, collaborative assessment of the quality of ontologies

Exploiting Open Data to analyze discussion and controversy in online citizen participation

In this paper we propose a computational approach that applies data mining techniques to analyze the citizen participation recorded in an online digital platform. Differently to previous work, the approach exploits external knowledge extracted from Open Government Data for processing the citizens’ proposals and debates of the platform, enabling to characterize targeted issues and problems, and analyze the levels of discussion, sup-port and controversy raised by the proposals. As a result of our analysis, we derive a number of insights and conclusions of interest and value for both citizens and government stakeholders in decision and policy making tasks. Among others, we show that proposals targeting issues that affect large majorities tend to be supported by citizens and ultimately implemented by the city council, but leave aside other very important issues affecting minority groups. Our study reveals that most controversial, likely relevant, problems do not always receive sufficient attention in e-participation. Moreover, it identifies several types of controversy, related to ideological and socioeconomic factors and political attitude

The added value of implementing the Planet Game scenario with Collage and Gridcole

This paper discusses the suitability and the added value of Collage and Gridcole when contrasted with other solutions participating in the ICALT 2006 workshop titled “Comparing educational modelling languages on a case study.” In this workshop each proposed solution was challenged to implement a Computer-Supported Collaborative Learning situation (CSCL) posed by the workshop’s organizers. Collage is a pattern-based authoring tool for the creation of CSCL scripts compliant with IMS Learning Design (IMS LD). These IMS LD scripts can be enacted by the Gridcole tailorable CSCL system. The analysis presented in the paper is organized as a case study which considers the data recorded in the workshop discussion as well the information reported in the workshop contributions. The results of this analysis show how Collage and Gridcole succeed in implementing the scenario and also point out some significant advantages in terms of design reusability and generality, user-friendliness, and enactment flexibility

Tutela del estado en la satisfaccion del derecho al agua potable

73 p.Existe actualmente un reconocimiento internacional del derecho humano al agua. No obstante aquello, aún son muchas las tareas pendientes para que dicho reconocimiento alcance la eficacia natural que se espera de todo cuerpo normativo. Como consecuencia de esa ineficacia del Derecho Internacional, es que se hace necesario, analizar si realmente existe una obligación para el Estado de Chile, de garantizar un derecho básico que debiera poseer todo ser humano. Es por ello que la presente investigación, indaga en los lineamientos económicos que ha querido establecer el constituyente de 1980 y más específicamente la legislación sanitaria, la cual es, en definitiva, la encargada del funcionamiento, regulación y fomento, de un elemento vital para el ser humano. El agua potable

Enabling the orchestration of IoT slices through edge and cloud microservice platforms

This article addresses one of the main challenges related to the practical deployment of Internet of Things (IoT) solutions: the coordinated operation of entities at different infrastructures to support the automated orchestration of end-to-end Internet of Things services. This idea is referred to as "Internet of Things slicing" and is based on the network slicing concept already defined for the Fifth Generation (5G) of mobile networks. In this context, we present the architectural design of a slice orchestrator addressing the aforementioned challenge, based on well-known standard technologies and protocols. The proposed solution is able to integrate existing technologies, like cloud computing, with other more recent technologies like edge computing and network slicing. In addition, a functional prototype of the proposed orchestrator has been implemented, using open-source software and microservice platforms. As a first step to prove the practical feasibility of our solution, the implementation of the orchestrator considers cloud and edge domains. The validation results obtained from the prototype prove the feasibility of the solution from a functional perspective, verifying its capacity to deploy Internet of Things related functions even on resource constrained platforms. This approach enables new application models where these Internet of Things related functions can be onboarded on small unmanned aerial vehicles, offering a flexible and cost-effective solution to deploy these functions at the network edge. In addition, this proposal can also be used on commercial cloud platforms, like the Google Compute Engine, showing that it can take advantage of the benefits of edge and cloud computing respectivelyThe work of Ivan Vidal and Francisco Valera was partially supported by the European H2020 5GinFIRE project (grant agreement 732497), and by the 5GCity project (TEC2016-76795-C6-3-R) funded by the Spanish Ministry of Economy and Competitiveness

Antitumor and antiangiogenic potential of solomonamide synthesis intermediates

Es comunicación (formato panel) a congreso internacionalIn this work we developed a new synthetic strategy towards the solomonamides. a novel class of cyclopeptides of marine origin. The described synthetic approach utilized an olefin metathesis reaction to form the [15]-membered ring contained in these natural products. During the synthetic process, a diverse set of analogues was generated and we evaluated their potential antitumor activity in vitro. For this purpose we performed in vitro proliferation assays, determining the IC50 values of the compounds in a panel of tumor cell lines. In addition, we evaluated the possible antiangiogenic effects of these solomonamide analogues by using in vitro endothelial cell differentiation assays. Our results showed that the potential antitumor and antiangiogenic activity of the studied analogues depended on their chemical structure, suggesting that the presence of specific functional groups could be responsible of their biological activity. Further studies are needed to understand the basis of the observed activities in endothelial and tumor cells.Our experimental work is supported by grants BIO2014-56092-R (MINECO and FEDER) and P12-CTS-1507 (Andalusian Government and FEDER) and funds from group BIO-267 (Andalusian Government). The "CIBER de Enfermedades Raras" is an initiative from the ISCIII (Spain). This communicaction has the support of a travel grant "Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Adhesion Enhancement on a Duplex DLC HiPIMS Positive Pulse Coating Performed by Active Screen Plasma Nitriding Pretreatment on 316L Stainless Steel Substrate

Diamond-like carbon (DLC) coatings have been the object of research interest due to properties such as excellent wear resistance, low coefficient of friction, high hardness, high elastic modulus, and biocompatibility. Despite this, DLC has poor adhesion properties, which makes it challenging to use in industrial applications. The application of DLC using the high-power pulse magnetron sputtering (HiPIMS) technique with positive pulses has been studied. Seeking greater DLC coating adherence, the application of a nitriding pretreatment prior to the DLC coating has been studied to improve its adhesion to AISI316L stainless steel soft metal substrates, employing active screen plasma nitriding (ASPN). The influence of the different pretreatment temperatures to reach the maximum levels of adhesion has been analyzed. Scratch methods have been employed to assess adhesion. The elemental composition, morphology, and roughness of the samples have been studied, as well as the behavior of resistance to wear and friction. The results show an improvement in DCL adhesion. Critical loads (LC3) increase at higher pretreatment temperatures, from 48 N for the DLC to 82 N for the ASPN + DLC. Pretreatment has also been shown to be effective in maintaining excellent dry wear resistance properties and a low coefficient of friction.This research was supported by the Government of Navarra grants for hiring doctoral students (Iñigo G´omez) by companies and research and knowledge dissemination organizations: industrial doctorates 2019–2021, grant no. 0011-1408-2018-000000 and CDTI Ministerio de Ciencia e Innovaci´on of Spain through the project CERVERA (CER2019-1003)

Improved Adhesion of the DLC Coating Using HiPIMS with Positive Pulses and Plasma Immersion Pretreatment

Diamond-like carbon (DLC) coatings are used due to their extraordinary tribomechanical properties, great hardness, high elastic modulus, high wear resistance, low friction coefficient and chemical inertness, which provide them with biocompatibility. Compared to other physical vapor deposition (PVD) coatings of transition nitrides and carbonitrides, DLC has limited adhesion, so it is necessary to develop new techniques to overcome this limitation. This work reports the results of scratch testing for the measurement of adhesion and of tests for wear resistance and nanoindentation in AISI 316L stainless steel coated with a WC:C coating, produced using novel high-power impulse magnetron sputtering (HiPIMS) technology with positive pulses. In addition, the use of a preceding surface modification technique, specifically plasma immersion ion implantation (PIII), was studied with the aim of optimizing the adhesion of the coating. The results show how the coating improved the tribomechanical properties through the use of positive pulse HiPIMS compared to conventional HiPIMS, with an adhesion result that reached critical load values of 48.5 N and a wear coefficient of 3.96 × 10−7 mm3/n

Analysing the Effect of Recommendation Algorithms on the Spread of Misinformation

Recommendation algorithms (RAs) have been pointed out as one of the major culprits of misinformation spreading in the digital sphere.1 However, it is still unclear how these algorithms propagate misinformation, e.g., which particular recommendation approaches are more prone to suggest misinforming items, or which internal parameters of the algorithms could be influencing more on their misinformation propagation capacity. Motivated by this fact, in this work, we present an analysis of the effect of some of the most popular recommendation algorithms on the spread of misinformation on Twitter (X). A set of guidelines on how to adapt these algorithms is provided based on such analysis and a comprehensive review of the research literature. 1 - Please note that amplifying, spreading and propagating are indistinctly used in this paper to refer to the amplifying effect that recommendation algorithms may have on misinformation when recommending or suggesting items to users.</sup