Nido de cóndores

Ocho investigadores se encaminan a la cima del Aconcagua a reparar la antena GPS más alta de Mundo “ACON". Se encuentran a 4.300 metros sobre el nivel del mar y siguen ascendiendo. La dificultad climática se hace sentir cada vez más, pero el grupo logra reagruparse en Nido de Cóndores. La aclimatación a la altura, el viento blanco casi permanente y las bajas temperaturas generan la planificación de alternativas ante cualquier imprevisto para evitar accidentes. En este episodio se evidencia el costado humano de todo el equipo, la solidaridad en la convivencia del campamento de montaña, el trabajo conjunto, la pasión por lograr el objetivo. Además, los resultados médicos de cada uno de los integrantes definirán quién sigue camino o deberá descender para evitar accidentes.

Científicos en el Aconcagua

La expedición llega a su etapa definitiva, restan los últimos días para cumplir con la tarea. Comienza la parte más dura hasta los 6 mil 962 metros de altura. Es un ascenso complicado y la montaña impone sus propias leyes. Se verá la travesía hasta la llegada y la instalación, con todas las dificultades que se interpondrán en la escalada. De conseguir este objetivo Argentina seguirá siendo el primer país en el mundo en realizar este tipo de estudios y mediciones sin antecedentes en otros picos del planeta. Ya de regreso, explicarán los avances en cada disciplina y qué se prevé para el futuro.

La interoperabilidad entre sistemas de organización del conocimiento : Un nuevo desafío

La interoperabilidad entre distintos sistemas de organización del conocimiento (SOC) ha cobrado gran importancia en los últimos tiempos, con el propósito de facilitar la búsqueda simultánea en varias bases de datos o fusionar distintas bases de datos en una sola. Las nuevas normas para el diseño y desarrollo de SOC, la estadounidense Z39.19:2005 y la británica BS 8723-4:2007, incluyen recomendaciones detalladas para la interoperabilidad. También se encuentra en preparación una nueva norma ISO 25964-1 sobre tesauros e interoperabilidad que se agregará a las anteriores. La tecnología disponible proporciona herramientas para este fin, como son los formatos y requisitos funcionales de autoridades y las herramientas de la Web Semántica RDF/OWL, SKOS Core y XML. Actualmente es difícil diseñar y desarrollar nuevos SOC debido a los problemas económicos, de modo que la interoperabilidad hace posible aprovechar los SOC existentes. En este trabajo se revisan los conceptos, modelos y métodos recomendados por las normas, así como numerosas experiencias de interoperabilidad entre SOC que han sido documentadas.

Emociones y afectos en los procesos de acoso vertical y horizontal : Expectativas hacia la organización

La temática de la violencia laboral, y en especial la del acoso, ha logrado una alta visibilización en el escenario socio-laboral local, a partir de intervenciones efectuadas por los distintos actores del trabajo. Así, muchas instituciones inteligentes han decidido enfrentar la realidad de los hechos y realizar distintos tipos de acciones para paliarla y resolverla, viendo en su cronificación un claro signo de inequidad laboral y de baja estima organizacional. Complementariamente a la indagación sobre los efectos subjetivos e intersubjetivos que determinan la violencia como práctica y significación para los distintos grupos de trabajadores, se hace necesario relevar la emergencia de procesos de acoso a partir de los denominados incidentes críticos. Por otra parte, los estudios contemporáneos revelan la importancia de los procesos de mediación en organizaciones con situaciones de riesgo psicosocial (Barón Duque, 2003), como una vía efectiva para alcanzar una mayor equidad interna. Tal equidad, sin embargo, no podría ser alcanzada sin una efectiva indagación en torno a los componentes afectivo - emocionales en juego y sus respectivas lógicas psico - organizacionales (Ferrari et. al; 2011 a; 2011b). La ponencia forma parte de nuestro estudio relativo a los comportamientos de hostigamiento en tanto emergentes de estilos desarrollados en el ámbito laboral, y relativos al poder, a la comunicación, a la afiliación y a la orientación a resultados, que configuran subsistemas de acoso individual o grupal. Esta presentación se enmarca en la conclusión del Proyecto UBACyT P015 'Riesgos psicosociales de los trabajadores. Efectos subjetivos e intersubjetivos de la precarización laboral' 2008 - 2010, y da cuenta del inicio del Proyecto UBACyT 'Poder, afiliación y efectividad en contextos de violencia laboral', correspondiente al ciclo 2011 - 2014. En el mismo se indaga la acción del subsistema acosador, explorando cómo la presencia de mecanismos subjetivos, psicosociales y organizacionales interrumpe y morigera las prácticas de hostigamiento y / o fortalece y apoya a los posibles blancos de acción acosadora. Para este caso, presentamos algunos hallazgos relativos a los procesos afectivos y los posicionamientos subjetivos en situaciones de hostigamiento, dentro de organizaciones laborales afectadas por la problemática. Las así llamadas tipificaciones o cristalizaciones afectivas se exponen como vinculadas a la forma vertical - horizontal del hostigamiento, caracterizando finalmente los sentimientos relativos a la organización y a las terceridades simbólicas. La metodología utilizada es cualitativa. Implica una genealogía emocional descripta a partir de la casuística proveniente del trabajo de intervención realizado por la Cátedra I de Psicología del Trabajo de la Facultad de Psicología, perteneciente a la Universidad de Buenos Aires. Los datos provienen de las dos ramas del proyecto de investigación ya mencionado, ellas son: el Programa de intervención en organizaciones y el Programa de atención a la víctima de mobbing. La casuística de los mismos alcanzó cerca de 300 consultas que implicaron el desarrollo de una secuencia de entrevistas con los actores de la situación presentada. Se ha trabajado sistematizando el contenido clínico y lingüístico - semántico con técnicas de análisis del discurso para reconstruir las categorías subyacentes a la trama relacional descripta en las mismas

La interoperabilidad entre sistemas de organización del conocimiento : Un nuevo desafío

La interoperabilidad entre distintos sistemas de organización del conocimiento (SOC) ha cobrado gran importancia en los últimos tiempos, con el propósito de facilitar la búsqueda simultánea en varias bases de datos o fusionar distintas bases de datos en una sola. Las nuevas normas para el diseño y desarrollo de SOC, la estadounidense Z39.19:2005 y la británica BS 8723-4:2007, incluyen recomendaciones detalladas para la interoperabilidad. También se encuentra en preparación una nueva norma ISO 25964-1 sobre tesauros e interoperabilidad que se agregará a las anteriores. La tecnología disponible proporciona herramientas para este fin, como son los formatos y requisitos funcionales de autoridades y las herramientas de la Web Semántica RDF/OWL, SKOS Core y XML. Actualmente es difícil diseñar y desarrollar nuevos SOC debido a los problemas económicos, de modo que la interoperabilidad hace posible aprovechar los SOC existentes. En este trabajo se revisan los conceptos, modelos y métodos recomendados por las normas, así como numerosas experiencias de interoperabilidad entre SOC que han sido documentadas.

Emociones y afectos en los procesos de acoso vertical y horizontal : Expectativas hacia la organización

La temática de la violencia laboral, y en especial la del acoso, ha logrado una alta visibilización en el escenario socio-laboral local, a partir de intervenciones efectuadas por los distintos actores del trabajo. Así, muchas instituciones inteligentes han decidido enfrentar la realidad de los hechos y realizar distintos tipos de acciones para paliarla y resolverla, viendo en su cronificación un claro signo de inequidad laboral y de baja estima organizacional. Complementariamente a la indagación sobre los efectos subjetivos e intersubjetivos que determinan la violencia como práctica y significación para los distintos grupos de trabajadores, se hace necesario relevar la emergencia de procesos de acoso a partir de los denominados incidentes críticos. Por otra parte, los estudios contemporáneos revelan la importancia de los procesos de mediación en organizaciones con situaciones de riesgo psicosocial (Barón Duque, 2003), como una vía efectiva para alcanzar una mayor equidad interna. Tal equidad, sin embargo, no podría ser alcanzada sin una efectiva indagación en torno a los componentes afectivo - emocionales en juego y sus respectivas lógicas psico - organizacionales (Ferrari et. al; 2011 a; 2011b). La ponencia forma parte de nuestro estudio relativo a los comportamientos de hostigamiento en tanto emergentes de estilos desarrollados en el ámbito laboral, y relativos al poder, a la comunicación, a la afiliación y a la orientación a resultados, que configuran subsistemas de acoso individual o grupal. Esta presentación se enmarca en la conclusión del Proyecto UBACyT P015 'Riesgos psicosociales de los trabajadores. Efectos subjetivos e intersubjetivos de la precarización laboral' 2008 - 2010, y da cuenta del inicio del Proyecto UBACyT 'Poder, afiliación y efectividad en contextos de violencia laboral', correspondiente al ciclo 2011 - 2014. En el mismo se indaga la acción del subsistema acosador, explorando cómo la presencia de mecanismos subjetivos, psicosociales y organizacionales interrumpe y morigera las prácticas de hostigamiento y / o fortalece y apoya a los posibles blancos de acción acosadora. Para este caso, presentamos algunos hallazgos relativos a los procesos afectivos y los posicionamientos subjetivos en situaciones de hostigamiento, dentro de organizaciones laborales afectadas por la problemática. Las así llamadas tipificaciones o cristalizaciones afectivas se exponen como vinculadas a la forma vertical - horizontal del hostigamiento, caracterizando finalmente los sentimientos relativos a la organización y a las terceridades simbólicas. La metodología utilizada es cualitativa. Implica una genealogía emocional descripta a partir de la casuística proveniente del trabajo de intervención realizado por la Cátedra I de Psicología del Trabajo de la Facultad de Psicología, perteneciente a la Universidad de Buenos Aires. Los datos provienen de las dos ramas del proyecto de investigación ya mencionado, ellas son: el Programa de intervención en organizaciones y el Programa de atención a la víctima de mobbing. La casuística de los mismos alcanzó cerca de 300 consultas que implicaron el desarrollo de una secuencia de entrevistas con los actores de la situación presentada. Se ha trabajado sistematizando el contenido clínico y lingüístico - semántico con técnicas de análisis del discurso para reconstruir las categorías subyacentes a la trama relacional descripta en las mismas

Emociones y afectos en los procesos de acoso vertical y horizontal : Expectativas hacia la organización

La temática de la violencia laboral, y en especial la del acoso, ha logrado una alta visibilización en el escenario socio-laboral local, a partir de intervenciones efectuadas por los distintos actores del trabajo. Así, muchas instituciones inteligentes han decidido enfrentar la realidad de los hechos y realizar distintos tipos de acciones para paliarla y resolverla, viendo en su cronificación un claro signo de inequidad laboral y de baja estima organizacional. Complementariamente a la indagación sobre los efectos subjetivos e intersubjetivos que determinan la violencia como práctica y significación para los distintos grupos de trabajadores, se hace necesario relevar la emergencia de procesos de acoso a partir de los denominados incidentes críticos. Por otra parte, los estudios contemporáneos revelan la importancia de los procesos de mediación en organizaciones con situaciones de riesgo psicosocial (Barón Duque, 2003), como una vía efectiva para alcanzar una mayor equidad interna. Tal equidad, sin embargo, no podría ser alcanzada sin una efectiva indagación en torno a los componentes afectivo - emocionales en juego y sus respectivas lógicas psico - organizacionales (Ferrari et. al; 2011 a; 2011b). La ponencia forma parte de nuestro estudio relativo a los comportamientos de hostigamiento en tanto emergentes de estilos desarrollados en el ámbito laboral, y relativos al poder, a la comunicación, a la afiliación y a la orientación a resultados, que configuran subsistemas de acoso individual o grupal. Esta presentación se enmarca en la conclusión del Proyecto UBACyT P015 'Riesgos psicosociales de los trabajadores. Efectos subjetivos e intersubjetivos de la precarización laboral' 2008 - 2010, y da cuenta del inicio del Proyecto UBACyT 'Poder, afiliación y efectividad en contextos de violencia laboral', correspondiente al ciclo 2011 - 2014. En el mismo se indaga la acción del subsistema acosador, explorando cómo la presencia de mecanismos subjetivos, psicosociales y organizacionales interrumpe y morigera las prácticas de hostigamiento y / o fortalece y apoya a los posibles blancos de acción acosadora. Para este caso, presentamos algunos hallazgos relativos a los procesos afectivos y los posicionamientos subjetivos en situaciones de hostigamiento, dentro de organizaciones laborales afectadas por la problemática. Las así llamadas tipificaciones o cristalizaciones afectivas se exponen como vinculadas a la forma vertical - horizontal del hostigamiento, caracterizando finalmente los sentimientos relativos a la organización y a las terceridades simbólicas. La metodología utilizada es cualitativa. Implica una genealogía emocional descripta a partir de la casuística proveniente del trabajo de intervención realizado por la Cátedra I de Psicología del Trabajo de la Facultad de Psicología, perteneciente a la Universidad de Buenos Aires. Los datos provienen de las dos ramas del proyecto de investigación ya mencionado, ellas son: el Programa de intervención en organizaciones y el Programa de atención a la víctima de mobbing. La casuística de los mismos alcanzó cerca de 300 consultas que implicaron el desarrollo de una secuencia de entrevistas con los actores de la situación presentada. Se ha trabajado sistematizando el contenido clínico y lingüístico - semántico con técnicas de análisis del discurso para reconstruir las categorías subyacentes a la trama relacional descripta en las mismas

La interoperabilidad entre sistemas de organización del conocimiento : Un nuevo desafío

La interoperabilidad entre distintos sistemas de organización del conocimiento (SOC) ha cobrado gran importancia en los últimos tiempos, con el propósito de facilitar la búsqueda simultánea en varias bases de datos o fusionar distintas bases de datos en una sola. Las nuevas normas para el diseño y desarrollo de SOC, la estadounidense Z39.19:2005 y la británica BS 8723-4:2007, incluyen recomendaciones detalladas para la interoperabilidad. También se encuentra en preparación una nueva norma ISO 25964-1 sobre tesauros e interoperabilidad que se agregará a las anteriores. La tecnología disponible proporciona herramientas para este fin, como son los formatos y requisitos funcionales de autoridades y las herramientas de la Web Semántica RDF/OWL, SKOS Core y XML. Actualmente es difícil diseñar y desarrollar nuevos SOC debido a los problemas económicos, de modo que la interoperabilidad hace posible aprovechar los SOC existentes. En este trabajo se revisan los conceptos, modelos y métodos recomendados por las normas, así como numerosas experiencias de interoperabilidad entre SOC que han sido documentadas.

(Table 1) Movement parameters of nine adult female snowy owls (Bubo scandiacus) tracked during the winter period 07/08 and 08/09 around Hudson Strait, Canada

Top predators of the arctic tundra are facing a long period of very low prey availability during winter and subsidies from other ecosystems such as the marine environment may help to support their populations. Satellite tracking of snowy owls, a top predator of the tundra, revealed that most adult females breeding in the Canadian Arctic overwinter at high latitudes in the eastern Arctic and spend several weeks (up to 101 d) on the sea-ice between December and April. Analysis of high-resolution satellite images of sea-ice indicated that owls were primarily gathering around open water patches in the ice, which are commonly used by wintering seabirds, a potential prey. Such extensive use of sea-ice by a tundra predator considered a small mammal specialist was unexpected, and suggests that marine resources subsidize snowy owl populations in winter. As sea-ice regimes in winter are expected to change over the next decades due to climate warming, this may affect the wintering strategy of this top predator and ultimately the functioning of the tundra ecosystem.

Salas de Ordeño (2ª parte). Tipos de Instalaciones (I)

En esta segunda entrega de “Salas de Ordeño” vamos a exponer los distintos tipos de instalaciones de ordeño mecánico que nos podemos encontrar en el mercado, explicando sus características así como sus principales ventajas e inconvenientes. Dado que no queremos que esta exposición sea telegráfica, necesariamente tiene que dividirse en varias partes. En esta primera parte haremos una relación inicial de todos los tipos de instalaciones para, seguidamente abordar las de ordeño en plaza y los dos primeros tipos de instalaciones para ordeño en sala: la sala “FLAT-BARN” y la sala “TÁNDEM”. Somos conscientes de que el ordeño en plaza es cada vez menos frecuente en nuestro país, conforme van despareciendo las explotaciones de menor tamaño y que, por razones climáticas, no es necesario encerrar a las vacas en el establo de forma permanente durante el invierno. No obstante, nos referiremos al ordeño en plaza con cierta brevedad pues pueden seguir siendo, junto con la sala “flat-barn”, una opción interesante en países en desarrollo como primer paso para pasar del ordeño manual al mecánico o de la estabulación fija a la estabulación libre; tal y como sucedió en España hace 30-40 años

Towards Understanding Reasoning Complexity in Practice

Although the computational complexity of the logic underlying the standard OWL 2 for the Web Ontology Language (OWL) appears discouraging for real applications, several contributions have shown that reasoning with OWL ontologies is feasible in practice. It turns out that reasoning in practice is often far less complex than is suggested by the established theoretical complexity bound, which reflects the worstcase scenario. State-of-the reasoners like FACT++, HERMIT, PELLET and RACER have demonstrated that, even with fairly expressive fragments of OWL 2, acceptable performances can be achieved. However, it is still not well understood why reasoning is feasible in practice and it is rather unclear how to study this problem. In this paper, we suggest first steps that in our opinion could lead to a better understanding of practical complexity. We also provide and discuss some initial empirical results with HERMIT on prominent ontologies

OntoTag - A Linguistic and Ontological Annotation Model Suitable for the Semantic Web

OntoTag - A Linguistic and Ontological Annotation Model Suitable for the Semantic Web 1. INTRODUCTION. LINGUISTIC TOOLS AND ANNOTATIONS: THEIR LIGHTS AND SHADOWS Computational Linguistics is already a consolidated research area. It builds upon the results of other two major ones, namely Linguistics and Computer Science and Engineering, and it aims at developing computational models of human language (or natural language, as it is termed in this area). Possibly, its most well-known applications are the different tools developed so far for processing human language, such as machine translation systems and speech recognizers or dictation programs. These tools for processing human language are commonly referred to as linguistic tools. Apart from the examples mentioned above, there are also other types of linguistic tools that perhaps are not so well-known, but on which most of the other applications of Computational Linguistics are built. These other types of linguistic tools comprise POS taggers, natural language parsers and semantic taggers, amongst others. All of them can be termed linguistic annotation tools. Linguistic annotation tools are important assets. In fact, POS and semantic taggers (and, to a lesser extent, also natural language parsers) have become critical resources for the computer applications that process natural language. Hence, any computer application that has to analyse a text automatically and ‘intelligently’ will include at least a module for POS tagging. The more an application needs to ‘understand’ the meaning of the text it processes, the more linguistic tools and/or modules it will incorporate and integrate. However, linguistic annotation tools have still some limitations, which can be summarised as follows: 1. Normally, they perform annotations only at a certain linguistic level (that is, Morphology, Syntax, Semantics, etc.). 2. They usually introduce a certain rate of errors and ambiguities when tagging. This error rate ranges from 10 percent up to 50 percent of the units annotated for unrestricted, general texts. 3. Their annotations are most frequently formulated in terms of an annotation schema designed and implemented ad hoc. A priori, it seems that the interoperation and the integration of several linguistic tools into an appropriate software architecture could most likely solve the limitations stated in (1). Besides, integrating several linguistic annotation tools and making them interoperate could also minimise the limitation stated in (2). Nevertheless, in the latter case, all these tools should produce annotations for a common level, which would have to be combined in order to correct their corresponding errors and inaccuracies. Yet, the limitation stated in (3) prevents both types of integration and interoperation from being easily achieved. In addition, most high-level annotation tools rely on other lower-level annotation tools and their outputs to generate their own ones. For example, sense-tagging tools (operating at the semantic level) often use POS taggers (operating at a lower level, i.e., the morphosyntactic) to identify the grammatical category of the word or lexical unit they are annotating. Accordingly, if a faulty or inaccurate low-level annotation tool is to be used by other higher-level one in its process, the errors and inaccuracies of the former should be minimised in advance. Otherwise, these errors and inaccuracies would be transferred to (and even magnified in) the annotations of the high-level annotation tool. Therefore, it would be quite useful to find a way to (i) correct or, at least, reduce the errors and the inaccuracies of lower-level linguistic tools; (ii) unify the annotation schemas of different linguistic annotation tools or, more generally speaking, make these tools (as well as their annotations) interoperate. Clearly, solving (i) and (ii) should ease the automatic annotation of web pages by means of linguistic tools, and their transformation into Semantic Web pages (Berners-Lee, Hendler and Lassila, 2001). Yet, as stated above, (ii) is a type of interoperability problem. There again, ontologies (Gruber, 1993; Borst, 1997) have been successfully applied thus far to solve several interoperability problems. Hence, ontologies should help solve also the problems and limitations of linguistic annotation tools aforementioned. Thus, to summarise, the main aim of the present work was to combine somehow these separated approaches, mechanisms and tools for annotation from Linguistics and Ontological Engineering (and the Semantic Web) in a sort of hybrid (linguistic and ontological) annotation model, suitable for both areas. This hybrid (semantic) annotation model should (a) benefit from the advances, models, techniques, mechanisms and tools of these two areas; (b) minimise (and even solve, when possible) some of the problems found in each of them; and (c) be suitable for the Semantic Web. The concrete goals that helped attain this aim are presented in the following section. 2. GOALS OF THE PRESENT WORK As mentioned above, the main goal of this work was to specify a hybrid (that is, linguistically-motivated and ontology-based) model of annotation suitable for the Semantic Web (i.e. it had to produce a semantic annotation of web page contents). This entailed that the tags included in the annotations of the model had to (1) represent linguistic concepts (or linguistic categories, as they are termed in ISO/DCR (2008)), in order for this model to be linguistically-motivated; (2) be ontological terms (i.e., use an ontological vocabulary), in order for the model to be ontology-based; and (3) be structured (linked) as a collection of ontology-based triples, as in the usual Semantic Web languages (namely RDF(S) and OWL), in order for the model to be considered suitable for the Semantic Web. Besides, to be useful for the Semantic Web, this model should provide a way to automate the annotation of web pages. As for the present work, this requirement involved reusing the linguistic annotation tools purchased by the OEG research group (http://www.oeg-upm.net), but solving beforehand (or, at least, minimising) some of their limitations. Therefore, this model had to minimise these limitations by means of the integration of several linguistic annotation tools into a common architecture. Since this integration required the interoperation of tools and their annotations, ontologies were proposed as the main technological component to make them effectively interoperate. From the very beginning, it seemed that the formalisation of the elements and the knowledge underlying linguistic annotations within an appropriate set of ontologies would be a great step forward towards the formulation of such a model (henceforth referred to as OntoTag). Obviously, first, to combine the results of the linguistic annotation tools that operated at the same level, their annotation schemas had to be unified (or, preferably, standardised) in advance. This entailed the unification (id. standardisation) of their tags (both their representation and their meaning), and their format or syntax. Second, to merge the results of the linguistic annotation tools operating at different levels, their respective annotation schemas had to be (a) made interoperable and (b) integrated. And third, in order for the resulting annotations to suit the Semantic Web, they had to be specified by means of an ontology-based vocabulary, and structured by means of ontology-based triples, as hinted above. Therefore, a new annotation scheme had to be devised, based both on ontologies and on this type of triples, which allowed for the combination and the integration of the annotations of any set of linguistic annotation tools. This annotation scheme was considered a fundamental part of the model proposed here, and its development was, accordingly, another major objective of the present work. All these goals, aims and objectives could be re-stated more clearly as follows: Goal 1: Development of a set of ontologies for the formalisation of the linguistic knowledge relating linguistic annotation. Sub-goal 1.1: Ontological formalisation of the EAGLES (1996a; 1996b) de facto standards for morphosyntactic and syntactic annotation, in a way that helps respect the triple structure recommended for annotations in these works (which is isomorphic to the triple structures used in the context of the Semantic Web). Sub-goal 1.2: Incorporation into this preliminary ontological formalisation of other existing standards and standard proposals relating the levels mentioned above, such as those currently under development within ISO/TC 37 (the ISO Technical Committee dealing with Terminology, which deals also with linguistic resources and annotations). Sub-goal 1.3: Generalisation and extension of the recommendations in EAGLES (1996a; 1996b) and ISO/TC 37 to the semantic level, for which no ISO/TC 37 standards have been developed yet. Sub-goal 1.4: Ontological formalisation of the generalisations and/or extensions obtained in the previous sub-goal as generalisations and/or extensions of the corresponding ontology (or ontologies). Sub-goal 1.5: Ontological formalisation of the knowledge required to link, combine and unite the knowledge represented in the previously developed ontology (or ontologies). Goal 2: Development of OntoTag’s annotation scheme, a standard-based abstract scheme for the hybrid (linguistically-motivated and ontological-based) annotation of texts. Sub-goal 2.1: Development of the standard-based morphosyntactic annotation level of OntoTag’s scheme. This level should include, and possibly extend, the recommendations of EAGLES (1996a) and also the recommendations included in the ISO/MAF (2008) standard draft. Sub-goal 2.2: Development of the standard-based syntactic annotation level of the hybrid abstract scheme. This level should include, and possibly extend, the recommendations of EAGLES (1996b) and the ISO/SynAF (2010) standard draft. Sub-goal 2.3: Development of the standard-based semantic annotation level of OntoTag’s (abstract) scheme. Sub-goal 2.4: Development of the mechanisms for a convenient integration of the three annotation levels already mentioned. These mechanisms should take into account the recommendations included in the ISO/LAF (2009) standard draft. Goal 3: Design of OntoTag’s (abstract) annotation architecture, an abstract architecture for the hybrid (semantic) annotation of texts (i) that facilitates the integration and interoperation of different linguistic annotation tools, and (ii) whose results comply with OntoTag’s annotation scheme. Sub-goal 3.1: Specification of the decanting processes that allow for the classification and separation, according to their corresponding levels, of the results of the linguistic tools annotating at several different levels. Sub-goal 3.2: Specification of the standardisation processes that allow (a) complying with the standardisation requirements of OntoTag’s annotation scheme, as well as (b) combining the results of those linguistic tools that share some level of annotation. Sub-goal 3.3: Specification of the merging processes that allow for the combination of the output annotations and the interoperation of those linguistic tools that share some level of annotation. Sub-goal 3.4: Specification of the merge processes that allow for the integration of the results and the interoperation of those tools performing their annotations at different levels. Goal 4: Generation of OntoTagger’s schema, a concrete instance of OntoTag’s abstract scheme for a concrete set of linguistic annotations. These linguistic annotations result from the tools and the resources available in the research group, namely • Bitext’s DataLexica (http://www.bitext.com/EN/datalexica.asp), • LACELL’s (POS) tagger (http://www.um.es/grupos/grupo-lacell/quees.php), • Connexor’s FDG (http://www.connexor.eu/technology/machinese/glossary/fdg/), and • EuroWordNet (Vossen et al., 1998). This schema should help evaluate OntoTag’s underlying hypotheses, stated below. Consequently, it should implement, at least, those levels of the abstract scheme dealing with the annotations of the set of tools considered in this implementation. This includes the morphosyntactic, the syntactic and the semantic levels. Goal 5: Implementation of OntoTagger’s configuration, a concrete instance of OntoTag’s abstract architecture for this set of linguistic tools and annotations. This configuration (1) had to use the schema generated in the previous goal; and (2) should help support or refute the hypotheses of this work as well (see the next section). Sub-goal 5.1: Implementation of the decanting processes that facilitate the classification and separation of the results of those linguistic resources that provide annotations at several different levels (on the one hand, LACELL’s tagger operates at the morphosyntactic level and, minimally, also at the semantic level; on the other hand, FDG operates at the morphosyntactic and the syntactic levels and, minimally, at the semantic level as well). Sub-goal 5.2: Implementation of the standardisation processes that allow (i) specifying the results of those linguistic tools that share some level of annotation according to the requirements of OntoTagger’s schema, as well as (ii) combining these shared level results. In particular, all the tools selected perform morphosyntactic annotations and they had to be conveniently combined by means of these processes. Sub-goal 5.3: Implementation of the merging processes that allow for the combination (and possibly the improvement) of the annotations and the interoperation of the tools that share some level of annotation (in particular, those relating the morphosyntactic level, as in the previous sub-goal). Sub-goal 5.4: Implementation of the merging processes that allow for the integration of the different standardised and combined annotations aforementioned, relating all the levels considered. Sub-goal 5.5: Improvement of the semantic level of this configuration by adding a named entity recognition, (sub-)classification and annotation subsystem, which also uses the named entities annotated to populate a domain ontology, in order to provide a concrete application of the present work in the two areas involved (the Semantic Web and Corpus Linguistics). 3. MAIN RESULTS: ASSESSMENT OF ONTOTAG’S UNDERLYING HYPOTHESES The model developed in the present thesis tries to shed some light on (i) whether linguistic annotation tools can effectively interoperate; (ii) whether their results can be combined and integrated; and, if they can, (iii) how they can, respectively, interoperate and be combined and integrated. Accordingly, several hypotheses had to be supported (or rejected) by the development of the OntoTag model and OntoTagger (its implementation). The hypotheses underlying OntoTag are surveyed below. Only one of the hypotheses (H.6) was rejected; the other five could be confirmed. H.1 The annotations of different levels (or layers) can be integrated into a sort of overall, comprehensive, multilayer and multilevel annotation, so that their elements can complement and refer to each other. • CONFIRMED by the development of: o OntoTag’s annotation scheme, o OntoTag’s annotation architecture, o OntoTagger’s (XML, RDF, OWL) annotation schemas, o OntoTagger’s configuration. H.2 Tool-dependent annotations can be mapped onto a sort of tool-independent annotations and, thus, can be standardised. • CONFIRMED by means of the standardisation phase incorporated into OntoTag and OntoTagger for the annotations yielded by the tools. H.3 Standardisation should ease: H.3.1: The interoperation of linguistic tools. H.3.2: The comparison, combination (at the same level and layer) and integration (at different levels or layers) of annotations. • H.3 was CONFIRMED by means of the development of OntoTagger’s ontology-based configuration: o Interoperation, comparison, combination and integration of the annotations of three different linguistic tools (Connexor’s FDG, Bitext’s DataLexica and LACELL’s tagger); o Integration of EuroWordNet-based, domain-ontology-based and named entity annotations at the semantic level. o Integration of morphosyntactic, syntactic and semantic annotations. H.4 Ontologies and Semantic Web technologies (can) play a crucial role in the standardisation of linguistic annotations, by providing consensual vocabularies and standardised formats for annotation (e.g., RDF triples). • CONFIRMED by means of the development of OntoTagger’s RDF-triple-based annotation schemas. H.5 The rate of errors introduced by a linguistic tool at a given level, when annotating, can be reduced automatically by contrasting and combining its results with the ones coming from other tools, operating at the same level. However, these other tools might be built following a different technological (stochastic vs. rule-based, for example) or theoretical (dependency vs. HPS-grammar-based, for instance) approach. • CONFIRMED by the results yielded by the evaluation of OntoTagger. H.6 Each linguistic level can be managed and annotated independently. • REJECTED: OntoTagger’s experiments and the dependencies observed among the morphosyntactic annotations, and between them and the syntactic annotations. In fact, Hypothesis H.6 was already rejected when OntoTag’s ontologies were developed. We observed then that several linguistic units stand on an interface between levels, belonging thereby to both of them (such as morphosyntactic units, which belong to both the morphological level and the syntactic level). Therefore, the annotations of these levels overlap and cannot be handled independently when merged into a unique multileveled annotation. 4. OTHER MAIN RESULTS AND CONTRIBUTIONS First, interoperability is a hot topic for both the linguistic annotation community and the whole Computer Science field. The specification (and implementation) of OntoTag’s architecture for the combination and integration of linguistic (annotation) tools and annotations by means of ontologies shows a way to make these different linguistic annotation tools and annotations interoperate in practice. Second, as mentioned above, the elements involved in linguistic annotation were formalised in a set (or network) of ontologies (OntoTag’s linguistic ontologies). • On the one hand, OntoTag’s network of ontologies consists of − The Linguistic Unit Ontology (LUO), which includes a mostly hierarchical formalisation of the different types of linguistic elements (i.e., units) identifiable in a written text; − The Linguistic Attribute Ontology (LAO), which includes also a mostly hierarchical formalisation of the different types of features that characterise the linguistic units included in the LUO; − The Linguistic Value Ontology (LVO), which includes the corresponding formalisation of the different values that the attributes in the LAO can take; − The OIO (OntoTag’s Integration Ontology), which  Includes the knowledge required to link, combine and unite the knowledge represented in the LUO, the LAO and the LVO;  Can be viewed as a knowledge representation ontology that describes the most elementary vocabulary used in the area of annotation. • On the other hand, OntoTag’s ontologies incorporate the knowledge included in the different standards and recommendations for linguistic annotation released so far, such as those developed within the EAGLES and the SIMPLE European projects or by the ISO/TC 37 committee: − As far as morphosyntactic annotations are concerned, OntoTag’s ontologies formalise the terms in the EAGLES (1996a) recommendations and their corresponding terms within the ISO Morphosyntactic Annotation Framework (ISO/MAF, 2008) standard; − As for syntactic annotations, OntoTag’s ontologies incorporate the terms in the EAGLES (1996b) recommendations and their corresponding terms within the ISO Syntactic Annotation Framework (ISO/SynAF, 2010) standard draft; − Regarding semantic annotations, OntoTag’s ontologies generalise and extend the recommendations in EAGLES (1996a; 1996b) and, since no stable standards or standard drafts have been released for semantic annotation by ISO/TC 37 yet, they incorporate the terms in SIMPLE (2000) instead; − The terms coming from all these recommendations and standards were supplemented by those within the ISO Data Category Registry (ISO/DCR, 2008) and also of the ISO Linguistic Annotation Framework (ISO/LAF, 2009) standard draft when developing OntoTag’s ontologies. Third, we showed that the combination of the results of tools annotating at the same level can yield better results (both in precision and in recall) than each tool separately. In particular, 1. OntoTagger clearly outperformed two of the tools integrated into its configuration, namely DataLexica and FDG in all the combination sub-phases in which they overlapped (i.e. POS tagging, lemma annotation and morphological feature annotation). As far as the remaining tool is concerned, i.e. LACELL’s tagger, it was also outperformed by OntoTagger in POS tagging and lemma annotation, and it did not behave better than OntoTagger in the morphological feature annotation layer. 2. As an immediate result, this implies that a) This type of combination architecture configurations can be applied in order to improve significantly the accuracy of linguistic annotations; and b) Concerning the morphosyntactic level, this could be regarded as a way of constructing more robust and more accurate POS tagging systems. Fourth, Semantic Web annotations are usually performed by humans or else by machine learning systems. Both of them leave much to be desired: the former, with respect to their annotation rate; the latter, with respect to their (average) precision and recall. In this work, we showed how linguistic tools can be wrapped in order to annotate automatically Semantic Web pages using ontologies. This entails their fast, robust and accurate semantic annotation. As a way of example, as mentioned in Sub-goal 5.5, we developed a particular OntoTagger module for the recognition, classification and labelling of named entities, according to the MUC and ACE tagsets (Chinchor, 1997; Doddington et al., 2004). These tagsets were further specified by means of a domain ontology, namely the Cinema Named Entities Ontology (CNEO). This module was applied to the automatic annotation of ten different web pages containing cinema reviews (that is, around 5000 words). In addition, the named entities annotated with this module were also labelled as instances (or individuals) of the classes included in the CNEO and, then, were used to populate this domain ontology. • The statistical results obtained from the evaluation of this particular module of OntoTagger can be summarised as follows. On the one hand, as far as recall (R) is concerned, (R.1) the lowest value was 76,40% (for file 7); (R.2) the highest value was 97, 50% (for file 3); and (R.3) the average value was 88,73%. On the other hand, as far as the precision rate (P) is concerned, (P.1) its minimum was 93,75% (for file 4); (R.2) its maximum was 100% (for files 1, 5, 7, 8, 9, and 10); and (R.3) its average value was 98,99%. • These results, which apply to the tasks of named entity annotation and ontology population, are extraordinary good for both of them. They can be explained on the basis of the high accuracy of the annotations provided by OntoTagger at the lower levels (mainly at the morphosyntactic level). However, they should be conveniently qualified, since they might be too domain- and/or language-dependent. It should be further experimented how our approach works in a different domain or a different language, such as French, English, or German. • In any case, the results of this application of Human Language Technologies to Ontology Population (and, accordingly, to Ontological Engineering) seem very promising and encouraging in order for these two areas to collaborate and complement each other in the area of semantic annotation. Fifth, as shown in the State of the Art of this work, there are different approaches and models for the semantic annotation of texts, but all of them focus on a particular view of the semantic level. Clearly, all these approaches and models should be integrated in order to bear a coherent and joint semantic annotation level. OntoTag shows how (i) these semantic annotation layers could be integrated together; and (ii) they could be integrated with the annotations associated to other annotation levels. Sixth, we identified some recommendations, best practices and lessons learned for annotation standardisation, interoperation and merge. They show how standardisation (via ontologies, in this case) enables the combination, integration and interoperation of different linguistic tools and their annotations into a multilayered (or multileveled) linguistic annotation, which is one of the hot topics in the area of Linguistic Annotation. And last but not least, OntoTag’s annotation scheme and OntoTagger’s annotation schemas show a way to formalise and annotate coherently and uniformly the different units and features associated to the different levels and layers of linguistic annotation. This is a great scientific step ahead towards the global standardisation of this area, which is the aim of ISO/TC 37 (in particular, Subcommittee 4, dealing with the standardisation of linguistic annotations and resources).

OPPL-Galaxy, a Galaxy tool for enhancing ontology exploitation as part of bioinformatics workflows

Biomedical ontologies are key elements for building up the Life Sciences Semantic Web. Reusing and building biomedical ontologies requires flexible and versatile tools to manipulate them efficiently, in particular for enriching their axiomatic content. The Ontology Pre Processor Language (OPPL) is an OWL-based language for automating the changes to be performed in an ontology. OPPL augments the ontologists’ toolbox by providing a more efficient, and less error-prone, mechanism for enriching a biomedical ontology than that obtained by a manual treatment. Results We present OPPL-Galaxy, a wrapper for using OPPL within Galaxy. The functionality delivered by OPPL (i.e. automated ontology manipulation) can be combined with the tools and workflows devised within the Galaxy framework, resulting in an enhancement of OPPL. Use cases are provided in order to demonstrate OPPL-Galaxy’s capability for enriching, modifying and querying biomedical ontologies. Conclusions Coupling OPPL-Galaxy with other bioinformatics tools of the Galaxy framework results in a system that is more than the sum of its parts. OPPL-Galaxy opens a new dimension of analyses and exploitation of biomedical ontologies, including automated reasoning, paving the way towards advanced biological data analyses.

The SSN ontology of the W3C semantic sensor network incubator group

The W3C Semantic Sensor Network Incubator group (the SSN-XG) produced an OWL 2 ontology to describe sensors and observations ? the SSN ontology, available at http://purl.oclc.org/NET/ssnx/ssn. The SSN ontology can describe sensors in terms of capabilities, measurement processes, observations and deployments. This article describes the SSN ontology. It further gives an example and describes the use of the ontology in recent research projects.