Fénix: a flexible information exchange data model for natural language processing

In this paper we describe Fénix, a data model for exchanging information between Natural Language Processing applications. The format proposed is intended to be flexible enough to cover both current and future data structures employed in the field of Computational Linguistics. The Fénix architecture is divided into four separate layers: conceptual, logical, persistence and physical. This division provides a simple interface to abstract the users from low-level implementation details, such as programming languages and data storage employed, allowing them to focus in the concepts and processes to be modelled. The Fénix architecture is accompanied by a set of programming libraries to facilitate the access and manipulation of the structures created in this framework. We will also show how this architecture has been already successfully applied in different research projects.

Aprender a emprender: claves para el desarrollo de competencias en el emprendedor

El presente capítulo de libro explica las competencias necesarias para un emprendedor y cómo éstas se han trabajado en un Máster de Desarrollo del Talento Directivo.

Emprendiendo en la Red. El caso CMUA

El presente capítulo expone el ejemplo de un caso de emprendimiento a partir de los cursos Community Manager de la Universidad de Alicante.

Relationships with citizens in public management: a study at the largest Spanish Town Halls

This paper provides an analysis of the relationships existing between citizen participation and satisfaction levels within the framework of Spanish local administrations, additionally paying attention to the links between organisational size and the said participation and satisfaction levels. The results of a survey questionnaire answered by 388 Human Resources (HR) managers from the largest Spanish Town Halls were examined for these purposes. A claim is made both to increase the degree of citizen participation in public decision-making and to ensure the delivery of efficient and effective public services that can really meet citizens’ needs in Spanish town Halls.

Aspectos jurídicos y legales en la creación de empresas

En este capítulo se explican las principales formas societarias y las complejidades legales de la creación de una nueva empresa.

Análisis y modelización de la actividad pesquera. La flota española en las aguas internacionales de la plataforma patagónica

Esta tesis está enfocada en el programa de observadores científicos en aguas del Atlántico Sudoccidental que el Instituto Español de Oceanografía (IEO) mantiene desde el año 1989 hasta la actualidad. Dicha base de datos ya ha sido empleada previamente por otros autores para estudiar los recursos pesqueros presentes, tanto en las aguas internacionales de la plataforma patagónica, más allá de las 200 millas náuticas de la costa argentina, como en la zona de pesca actualmente incluida dentro de la jurisdicción de las islas Falkland/Malvinas. Aquí nos centramos en el estudio de la actividad pesquera española que faena en la zona de aguas internacionales conocida como “División 46” y de los recursos a los que se dirige. Varios factores justifican la necesidad de esta tesis: (1) La necesidad de desarrollar una descripción detallada de la base de datos, no realizada hasta el momento. (2) Valorar la representatividad espacial del programa de observadores. (3) Establecer una serie de análisis espacio-temporales que describan la actividad pesquera de la flota española en estas aguas, (4) Desarrollar un completo y detallado análisis espacio-temporal de la distribución y abundancia de los recursos pesqueros a los que se dirige la flota. Por otra parte, las limitaciones propias de un programa de observadores científicos en buques pesqueros nos llevan, por necesidad, a explorar soluciones metodológicas que permitan un análisis fiable del esfuerzo pesquero y de la abundancia de los recursos. A este respecto, la disponibilidad de nueva información relacionada con las características físicas del área de estudio obtenida a raíz de las campañas oceanográficas realizadas en las aguas internacionales de la plataforma patagónica por el IEO y la Secretaría General del Mar (SGM) entre los años 2007 y 2011 y la disponibilidad de datos procedentes del Sistema de Localización de Buques de la SGM entre el periodo 2001 y 2007, nos ha permitido avanzar en el conocimiento de la actividad pesquera española en esta región. Como resultados principales, hemos definido algunas características fundamentales que determinan el marco de estudio de esta base de datos, hemos explorado diversas aproximaciones metodológicas que permitan un análisis de la representatividad de un programa de observadores en aguas internacionales, hemos desarrollado una descripción espacio-temporal de la estrategia de pesca en esta aguas y, a raíz del conocimiento adquirido, hemos realizado un análisis de los factores que afectan a la distribución de M. hubbsi y al esfuerzo de pesca invertido en su captura.

COMPENDIUM: a text summarisation tool for generating summaries of multiple purposes, domains, and genres

In this paper, we present a Text Summarisation tool, compendium, capable of generating the most common types of summaries. Regarding the input, single- and multi-document summaries can be produced; as the output, the summaries can be extractive or abstractive-oriented; and finally, concerning their purpose, the summaries can be generic, query-focused, or sentiment-based. The proposed architecture for compendium is divided in various stages, making a distinction between core and additional stages. The former constitute the backbone of the tool and are common for the generation of any type of summary, whereas the latter are used for enhancing the capabilities of the tool. The main contributions of compendium with respect to the state-of-the-art summarisation systems are that (i) it specifically deals with the problem of redundancy, by means of textual entailment; (ii) it combines statistical and cognitive-based techniques for determining relevant content; and (iii) it proposes an abstractive-oriented approach for facing the challenge of abstractive summarisation. The evaluation performed in different domains and textual genres, comprising traditional texts, as well as texts extracted from the Web 2.0, shows that compendium is very competitive and appropriate to be used as a tool for generating summaries.

Evaluation of an integrated system for classification, assessment and comparison of services for long-term care in Europe: the eDESDE-LTC study

Background: The harmonization of European health systems brings with it a need for tools to allow the standardized collection of information about medical care. A common coding system and standards for the description of services are needed to allow local data to be incorporated into evidence-informed policy, and to permit equity and mobility to be assessed. The aim of this project has been to design such a classification and a related tool for the coding of services for Long Term Care (DESDE-LTC), based on the European Service Mapping Schedule (ESMS). Methods: The development of DESDE-LTC followed an iterative process using nominal groups in 6 European countries. 54 researchers and stakeholders in health and social services contributed to this process. In order to classify services, we use the minimal organization unit or “Basic Stable Input of Care” (BSIC), coded by its principal function or “Main Type of Care” (MTC). The evaluation of the tool included an analysis of feasibility, consistency, ontology, inter-rater reliability, Boolean Factor Analysis, and a preliminary impact analysis (screening, scoping and appraisal). Results: DESDE-LTC includes an alpha-numerical coding system, a glossary and an assessment instrument for mapping and counting LTC. It shows high feasibility, consistency, inter-rater reliability and face, content and construct validity. DESDE-LTC is ontologically consistent. It is regarded by experts as useful and relevant for evidence-informed decision making. Conclusion: DESDE-LTC contributes to establishing a common terminology, taxonomy and coding of LTC services in a European context, and a standard procedure for data collection and international comparison.

The role of statistical and semantic features in single-document extractive summarization

This paper reports on the further results of the ongoing research analyzing the impact of a range of commonly used statistical and semantic features in the context of extractive text summarization. The features experimented with include word frequency, inverse sentence and term frequencies, stopwords filtering, word senses, resolved anaphora and textual entailment. The obtained results demonstrate the relative importance of each feature and the limitations of the tools available. It has been shown that the inverse sentence frequency combined with the term frequency yields almost the same results as the latter combined with stopwords filtering that in its turn proved to be a highly competitive baseline. To improve the suboptimal results of anaphora resolution, the system was extended with the second anaphora resolution module. The present paper also describes the first attempts of the internal document data representation.

ICT in higher education: an experience with e-books

The present paper seeks to explain the diverse advantages of virtual books and also the main barriers that make it difficult their implementation in the classroom. A brief review of the literature on ICT, e-learning, distance education and e-books will be complemented with a case study about the preparation, development and implementation of an e-book. The paper could be helpful both for systems analysts and for teachers when they are developing and implementing e-books.

Towards the Design of a Textile Chemical Ontology

The main goal of this paper is to present the initial version of a Textile Chemical Ontology, to be used by textile professionals with the purpose of conceptualising and representing the banned and harmful chemical substances that are forbidden in this domain. After analysing different methodologies and determining that “Methontology” is the most appropriate for the purposes, this methodology is explored and applied to the domain. In this manner, an initial set of concepts are defined, together with their hierarchy and the relationships between them. This paper shows the benefits of using the ontology through a real use case in the context of Information Retrieval. The potentiality of the proposed ontology in this preliminary evaluation encourages extending the ontology with a higher number of concepts and relationships, and validating it within other Natural Language Processing applications.

Enrichment of the Phenotypic and Genotypic Data Warehouse analysis using Question Answering systems to facilitate the decision making process in cereal breeding programs

Currently there are an overwhelming number of scientific publications in Life Sciences, especially in Genetics and Biotechnology. This huge amount of information is structured in corporate Data Warehouses (DW) or in Biological Databases (e.g. UniProt, RCSB Protein Data Bank, CEREALAB or GenBank), whose main drawback is its cost of updating that makes it obsolete easily. However, these Databases are the main tool for enterprises when they want to update their internal information, for example when a plant breeder enterprise needs to enrich its genetic information (internal structured Database) with recently discovered genes related to specific phenotypic traits (external unstructured data) in order to choose the desired parentals for breeding programs. In this paper, we propose to complement the internal information with external data from the Web using Question Answering (QA) techniques. We go a step further by providing a complete framework for integrating unstructured and structured information by combining traditional Databases and DW architectures with QA systems. The great advantage of our framework is that decision makers can compare instantaneously internal data with external data from competitors, thereby allowing taking quick strategic decisions based on richer data.

Computational approaches to subjectivity and sentiment analysis: Present and envisaged methods and applications

Recent years have witnessed a surge of interest in computational methods for affect, ranging from opinion mining, to subjectivity detection, to sentiment and emotion analysis. This article presents a brief overview of the latest trends in the field and describes the manner in which the articles contained in the special issue contribute to the advancement of the area. Finally, we comment on the current challenges and envisaged developments of the subjectivity and sentiment analysis fields, as well as their application to other Natural Language Processing tasks and related domains.

Modeling construction time in Spanish building projects

The literature states that project duration is affected by various scope factors. Using 168 building projects carried out in Spain, this paper uses the multiple regression analysis to develop a forecast model that allows estimating project duration of new builds. The proposed model uses project type, gross floor area (GFA), the cost/GFA relationship and number of floors as predictor variables. The research identified the logarithmic form of construction speed as the most appropriate response variable. GFA has greater influence than cost on project duration but both factors are necessary to achieve a forecast model with the highest accuracy. We developed an analysis to verify the stability of forecasted values and showed how a model with high values of fit and accuracy may display an anomalous behavior in the forecasted values. The sensitivity of the proposed forecast model was also analyzed versus the variability of construction costs.

Applying model-driven engineering to the development of Rich Internet Applications for Business Intelligence

Business Intelligence (BI) applications have been gradually ported to the Web in search of a global platform for the consumption and publication of data and services. On the Internet, apart from techniques for data/knowledge management, BI Web applications need interfaces with a high level of interoperability (similar to the traditional desktop interfaces) for the visualisation of data/knowledge. In some cases, this has been provided by Rich Internet Applications (RIA). The development of these BI RIAs is a process traditionally performed manually and, given the complexity of the final application, it is a process which might be prone to errors. The application of model-driven engineering techniques can reduce the cost of development and maintenance (in terms of time and resources) of these applications, as they demonstrated by other types of Web applications. In the light of these issues, the paper introduces the Sm4RIA-B methodology, i.e., a model-driven methodology for the development of RIA as BI Web applications. In order to overcome the limitations of RIA regarding knowledge management from the Web, this paper also presents a new RIA platform for BI, called RI@BI, which extends the functionalities of traditional RIAs by means of Semantic Web technologies and B2B techniques. Finally, we evaluate the whole approach on a case study—the development of a social network site for an enterprise project manager.