Marginarte, proyecto finalista en concurso de emprendimiento social

La 4a edición del Concurso de Emprendimiento y Economía Social del Ayuntamiento de Sant Cugat ya tiene ocho proyectos de iniciativa empresarial participantes. Ahora, estas iniciativas entran en un proceso de acompañamiento y asesoramiento con expertos de la economía social que los ayudará a dar forma a su idea. Una vez finalice este periodo, previsto a noviembre, los participantes presentarán el proyecto al tribunal del concurso, que seleccionará cuatro equipos ganadores. El premio son 5.000 euros para poner en marcha la iniciativa y una estancia gratuita de seis meses al centro de emprendimiento BeBusiness. En esta cuarta edición, el concurso se ha abierto a cualquier iniciativa empresarial que presentara un proyecto con impacto social y a empresas ya constituidas. En total, se han presentado 18 candidaturas y el comité de selección se ha encargado de elegir las ocho mejores entre las que se encuentra el proyecto Marginarte. El objetivo del proyecto MARGINARTE es dignificar, promover, estudiar y divulgar “el arte marginal”.

Interview with elCugatenc local paper

The newspaper elCugatenc has published an article in which I talk about the Marginarte project. Here is a fragment of the interview in Catalan:

Art marginal, art outsider. Art no domesticat ni sotmès a normes professionals o acadèmiques. Obres artístiques que no tinguin un espai en galeries o museus d’art. Confeccionades per artistes que no els anomenen artistes pel fet de tenir discapacitats físiques o mentals que els fan ser diferents de la resta o per no tenir una instrucció acadèmica formal.

Aquest és el perfil de persones que busca el projecte anomenat Marginarte. Una associació formada per John Roberto, Patricia Etcheverry i Maria Isabel Rubinat, que té com a objectiu potenciar i dignificar l’art marginal mitjançant la promoció i divulgació de les obres d’artistes en risc d’exclusió i vulnerabilitat social. “Volem promoure l’art marginal, l’art que realitzen persones que per circumstàncies socials o personals no s’han pogut dedicar de la manera convencional a l’art, a través dels estudis”, definia en John.

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Presentation at the Digidoc-UPF Group

Summary of the paper I gave at the Digidoc Research Seminar that took place on Wednesday, June 13, 2018 at the Communication Campus of the Universitat Pompeu Fabra, entitled Ontologies for e-Learning.

Según el modelo del Aprendizaje Rizomático, el currículo no está predefinido por los expertos, sino que se negocia, en tiempo real, con quienes participan en el proceso de aprendizaje. En esta presentación describo cómo aplicar las ontologías computacionales para la generación automática de currículos en tiempo real.

El objetivo de la presentación ha sido realizar una propuesta para implementar la teoría rizomática del aprendizaje. Dicha implementación se realizaría representando el conocimiento del dominio, del alumno y de la dinámica social mediante ontologías computacionales. En la actualidad, podemos encontrar en la bibliografía científica múltiples alternativas para representar el conocimiento del dominio en objetos de aprendizaje y el conocimiento del alumno, principalmente su estilo de aprendizaje, en un perfil de alumno.

No obstante, existe un vacío importante en cuanto a la posibilidad de incorporar el conocimiento social en un modelo pedagógico. Desde el punto de vista tecnológico, el análisis de grandes datos sociales constituye una alternativa viable para incorporar dicho conocimiento. El acceso a las plataformas para la visualización de datos y las APIs públicas facilita actualizar, en tiempo real, cualquier currículo en respuesta a las cambiantes condiciones ambientales.

Computational ontologies for accessing, controlling, and dissemination of knowledge in the cultural heritage sector

⦁ Roberto, J. (2021). Computational ontologies for accessing, controlling, and disseminating knowledge in the cultural heritage sector: a case study. In Shane Hawkins (Ed.). Access and Control in Digital Humanities (pp. 61-77). New York: Routledge, ISBN 9780367201012.

Access, Control, and Dissemination in Digital Humanities.

While DH is seen by some as especially interdisciplinary or more conducive to group work, linked data, and open research, including both access to results and participation in research itself, the very nature of its connectedness creates challenges for researchers who wish to assert control of data, have some role in how data is used or how work is acknowledged, and how it is attributed and recorded. Researchers involved in any substantial DH project must confront similar questions: who should be allowed to make reproductions of artifacts, which ones, how many, how often, of what quality and at what cost, what are the rights of possession and reproduction, including access, copyright, intellectual property rights or digital rights management. Given the potential of open and accessible data, it is sometimes suggested that DH might be a much-needed bridge between ivory tower institutions and the general public. The promise of DH in this regard, however, still remains in many ways unfulfilled, raising the question of who DH is for, if not solely for bodies of like-minded academics.

Contributors to this volume have varied experiences with applications for digital technology in the classroom, in museums and archives, and with the general public and they present answers to these problems from a variety of perspectives. Digital Humanities is not a homogeneous enterprise, and we find that DH functions differently in different fields across the humanities and is put to different ends with varying results. As a result, one may already (fore)see DH moving in distinct directions in individual academic fields, but whether this splintering will have a positive effect or is an indication that disciplines are retreating to their respective silos, remains to be seen. We need to understand better how such differences are communicated among various fields, and how those results are adopted, not to mention evaluated, and by whom. This volume addresses these issues with concrete examples from researchers in the field.

Computational ontologies for accessing, controlling, and dissemination of knowledge in the cultural heritage sector

Cultural heritage is rich in associations. Museum artworks contain semantically rich information that configures a semantic network: a collection of items has features and are related to another collection of items. For example, “The Physical Impossibility of Death in the Mind of Someone Living” is a piece of Conceptual Art created by Damien Hirst, a leading member of the “Young British Artists” (YBAs). YBAs are influenced by Minimalism and Conceptual Art. This piece of art is related to Charles Saatchi (collector), Steven A. Cohen (owner) and the “shark” (artwork) of Eddie Saunders. This “semantic network” is not limited to a single collection but also spans over other related collections in different museums. Nowadays, most of this information about art collections is often embedded within databases or within highly textual documents. This is a problem because it is difficult to extract, re-use, interpret, correlate or compare the relevant information expressed implicitly in semi-structured and unstructured resources. Motivated by the above observation, researchers in Digital Humanities are working with computational ontologies to extract the implicit knowledge embedded in textual resources and to make heterogeneous museum collections semantically interoperable.

In general, an ontology is a form of knowledge conceptualization that makes this knowledge publicly available and reusable. From a technological point of view, a computational ontology is a collection of statements written in a formal language. Its purpose is to establish the relations between different concepts and specify logical rules for reasoning about them. Common components of ontologies include concepts (e.g. “Abstract Expressionism”), properties (e.g. “Abstract Expressionism is not focused on figures or imagery”) and relations (e.g. “Action Painting is an instance of the metaclass Abstract Expressionism”). Ontologies offer enhanced representation capabilities and they can also support reasoning operations that are at least partially similar to human reasoning. Through the use of a reasoner, it is possible to derive new facts from the existing ontologies. Reasoner is a software that works by inferring logical consequences from a set of explicitly asserted facts or axioms. Thus, ontologies allow us to make explicit domain assumptions: e.g. “Abstract Expressionism has many stylistic similarities to the Russian artists of the early 20th century”.

In this chapter, we explore how computational ontologies make feasible the process of accessing, controlling, and dissemination of knowledge feasible in the cultural heritage sector. This chapter is divided into three major sections. The first section explains what an ontology is and how to extract ontologies from unstructured texts. Specifically, we analyze the extraction and population of ontologies by applying natural language analysis techniques to texts. The second section presents current research in ontology learning applied to the cultural heritage sector. We show concrete examples of available ontologies for museums, ontologies that have been developed for describing museum artefacts and objects, quantitative analyzes of the art market using ontologies, web ontologies for modelling art collections and new methods to provide personalized tour recommendation for museum visits. In the last section, we will put special attention on the Europeana ontology, which is the EU digital platform for cultural heritage.

Participación en libro sobre aprendizaje de lenguas

Cross-Cultural Perspectives on Technology-Enhanced Language Learning

Descargar fragmento del libro

Dara Tafazoli (University of Córdoba, Spain), M. Elena Gomez Parra (University of Córdoba, Spain) and Cristina A. Huertas-Abril (University of Córdoba, Spain)
Release Date: June, 2018|Copyright: © 2018 |Pages: 403
ISBN13: 9781522554639|ISBN10: 1522554637|EISBN13: 9781522554646|DOI: 10.4018/978-1-5225-5463-9


Technology-Enhanced Language Learning (TELL) is an attempt to apply different technology-based tools and programs in language classrooms in order to enhance their learning; it also assists language teachers to improve their teaching. Vis-à-vis traditional learning and teaching, TELL meets the 21st century learners and teachers’ needs, which plays a vital role in educational systems of all of the countries around the world.

There is a significant amount of research that attempts to evaluate TELL and its programs from a variety of aspects. Almost all of the related literature on the TELL/CALL is within a specific culture and society, and there is a lack of cross-cultural study on the TELL/CALL-related issues. There is an argument that educational improvement can be obtained through methods gather from comparative education research study (Stigler & Hiebert, 1999). Cross-cultural study is a kind of comparative study which looks at two or more different societies and cultures. Cross-cultural research has been incredibly valuable for research purposes.. Another perspective which emphasizes the importance of cross-cultural study is the compatibility of the product with the two different societies and culture. The editors believe that copying and applying the findings of other societies, communities, and cultures is not merely end in the same result in another context. Although there are different studies which signify the applicability and usefulness of TELL/CALL in some countries, it does not prove the fact that it should provides the similar consequences for other cultures.

Disponible el corpus Hopinion

Puesto a disposición el corpus de opiniones en castellano Hopinion. Hopinion contiene 17934 opiniones (2.388.848 palabras), básicamente sobre hoteles, provenientes de la web de TripAdvisor.

Más información aquí

Descargar Hopinion aquí

Para citar este recuso:
Roberto, John A., M. Antònia Martí, Maria Salomó (2012). ‘Análisis de la riqueza léxica en el contexto de la clasificación de atributos demográficos latentes’. Procesamiento del Lenguaje Natural, Vol. 48: 97-104.