El mundo lúdico en la literatura de Rabelais: la obra Gargantua y el repertorio de juegos del capítulo XXII de la edición 1542

En el presente estudio de tesis doctoral analizamos un texto literario francés del siglo XVI en el que aparecen 217 juegos. Como valor añadido se trata de parte de un texto reconocido mundialmente por la Literatura Universal como es el Gargantua de François Rabelais. A tenor de la conocida y famosa definición de Gimnasia establecida por Francisco de Amorós y Ondeano allá por 1830 en su Manuel d'éducation physique, gymnastique et morale, uno de los objetos de estudio en nuestra ciencia es la relación de nuestros movimientos con nuestras costumbres. Para ello indudablemente debemos recurrir a todo tipo de fuentes, escritas, orales o de otro tipo, para analizarlas. “La gimnasia es la ciencia razonada de nuestros movimientos, de sus relaciones con nuestros sentidos, nuestra inteligencia, nuestros sentimientos, nuestras costumbres y el desarrollo de todas nuestras facultades...” Costumbres, tradición e historia, en definitiva, que se contrasta con los medios utilizados en su análisis, herramientas TIC como son librerías digitales, buscadores de textos y palabras. A través del análisis de textos de diversa índole hemos ido obteniendo datos sobre los juegos. Estas fuentes han sido novelas, diccionarios, enciclopedias y ensayos desde el siglo XIV hasta obras contemporáneas. Se ha realizado un análisis estadístico de estas fuentes lo que ha dado a este estudio otro valor añadido desde un punto de vista metodológico. El resultado del estudio se ha plasmado en una colección de fichas creadas a partir de un estudio comparativo de diferentes fichas de juegos de autores de relevancia. ABSTRACT Gymnastics is the reasoned science of our movements, of its relations with our senses, our intelligence, our feelings, our customs and the development of all our faculties… In accordance with the all known famous definition of Gymnastics that established Don Francisco de Amorós and Ondeano in 1830 in his Manuel d'éducation physique, gymnastique et morale, one of the objects of study in our science is the relation of our movements with our customs. For it doubtlessly we must resort to all type of sources, written, oral or of another type, to analyze them. In the present doctoral thesis study we analyzed a French literary text of the XVI th century in which they appear 217 games. As added value treats world-wide from a recognized text by Universal Literature as it is the Gargantua of François Rabelais. Customs, tradition and history, really, that are resisted with means used in its analysis, TIC tools as they are digital libraries and tools to seek texts and words. Through text analysis of diverse nature we have been collecting data on the games. These sources have been novels, dictionaries, encyclopedias and tests from century XIV to contemporary works. A statistical analysis of these sources has been made which has given to this study another value added from a methodological point of view. The result of the study has been resumed in index cards created from a comparative cards study from different relevant authors.

Diseño de una herramienta para la aplicación de técnicas de minería de textos

El objetivo del presente trabajo es el estudio, diseño e implementación de una herramienta software, con interfaz gráfica de usuario, que permita aplicar diversas técnicas de análisis de textos de forma simple. Las técnicas de análisis, que serán implementadas en la herramienta, extraerán información de textos escritos en un lenguaje humano, es decir un lenguaje no artificial, y se le presentará al usuario. La herramienta permite la obtención de tres tipos de información: categorías a las que pertenece un texto, dentro de un conjunto de categorías predeterminadas; grupos de textos que son similares entre sí; y la polaridad de opinión expresada en un texto hacia el tema u objeto del que trata, que puede ser neutra, positiva o negativa.---ABSTRACT---The aim of this work is to study, design and implement a software tool, with graphical user interface, which will enable a user to easily apply various text analysis techniques. The techniques implemented in the tool will extract information from texts written in natural language, i.e. a non artificial language, and will present it to the user. The tool will extract three different types of information about a given set of texts: their categories (from a predefined set of categories), groups of similar texts, the polarity of the attitude expressed in the texts towards their topic.

Using Cross-Lingual Explicit Semantic Analysis for Improving Ontology Translation

Semantic Web aims to allow machines to make inferences using the explicit conceptualisations contained in ontologies. By pointing to ontologies, Semantic Web-based applications are able to inter-operate and share common information easily. Nevertheless, multilingual semantic applications are still rare, owing to the fact that most online ontologies are monolingual in English. In order to solve this issue, techniques for ontology localisation and translation are needed. However, traditional machine translation is difficult to apply to ontologies, owing to the fact that ontology labels tend to be quite short in length and linguistically different from the free text paradigm. In this paper, we propose an approach to enhance machine translation of ontologies based on exploiting the well-structured concept descriptions contained in the ontology. In particular, our approach leverages the semantics contained in the ontology by using Cross Lingual Explicit Semantic Analysis (CLESA) for context-based disambiguation in phrase-based Statistical Machine Translation (SMT). The presented work is novel in the sense that application of CLESA in SMT has not been performed earlier to the best of our knowledge.

Analysis of the suitability of existing medical ontologies for building a scalable semantic interoperability solution supporting multi-site collaboration in oncology

Semantic interoperability is essential to facilitate efficient collaboration in heterogeneous multi-site healthcare environments. The deployment of a semantic interoperability solution has the potential to enable a wide range of informatics supported applications in clinical care and research both within as ingle healthcare organization and in a network of organizations. At the same time, building and deploying a semantic interoperability solution may require significant effort to carryout data transformation and to harmonize the semantics of the information in the different systems. Our approach to semantic interoperability leverages existing healthcare standards and ontologies, focusing first on specific clinical domains and key applications, and gradually expanding the solution when needed. An important objective of this work is to create a semantic link between clinical research and care environments to enable applications such as streamlining the execution of multi-centric clinical trials, including the identification of eligible patients for the trials. This paper presents an analysis of the suitability of several widely-used medical ontologies in the clinical domain: SNOMED-CT, LOINC, MedDRA, to capture the semantics of the clinical trial eligibility criteria, of the clinical trial data (e.g., Clinical Report Forms), and of the corresponding patient record data that would enable the automatic identification of eligible patients. Next to the coverage provided by the ontologies we evaluate and compare the sizes of the sets of relevant concepts and their relative frequency to estimate the cost of data transformation, of building the necessary semantic mappings, and of extending the solution to new domains. This analysis shows that our approach is both feasible and scalable.