LEGOLANG: técnicas de deconstrucción aplicadas a las tecnologías del lenguaje humano

El objetivo de este proyecto se basa en la necesidad de replantearse la filosofía clásica del TLH para adecuarse tanto a las fuentes disponibles actualmente (datos no estructurados con multi-modalidad, multi-lingualidad y diferentes grados de formalidad) como a las necesidades reales de los usuarios finales. Para conseguir este objetivo es necesario integrar tanto la comprensión como la generación del lenguaje humano en un modelo único (modelo LEGOLANG) basado en técnicas de deconstrucción de la lengua, independiente de su aplicación final y de la variante de lenguaje humano elegida para expresar el conocimiento.

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.

Distribución de la gineta (Geneta geneta Linnaeus, 1758) en el Parque Natural de la Sierra de Mariola (C. Valenciana)

Este trabajo de investigación es pionero y original ya que nunca antes se ha realizado un estudio de la gineta (Genetta genetta) dentro del ámbito valenciano y más concretamente sobre la relación de su distribución con los factores geográficos que la condicionan en el PN Sierra de Mariola. Un mejor conocimiento de su ocupación en el espacio será de interés para la definición de medidas de gestión de fauna del Parque. Utilizando técnicas de fototrampeo se han recopilado 95.372 imágenes con algún contacto animal. De estas imágenes, el 0,10% de las fotografías registradas son de gineta y se ha detectado su presencia en 8 de las 63 cuadrículas (4 Km2) del PN Sierra de Mariola (12,70%). Este estudio ha permitido integrar la información recopilada en campo con las bases de datos existentes para concluir que la situación de la gineta en Sierra de Mariola no es preocupante.

An authoring tool for decision support systems in context questions of ecological knowledge

Decision support systems (DSS) support business or organizational decision-making activities, which require the access to information that is internally stored in databases or data warehouses, and externally in the Web accessed by Information Retrieval (IR) or Question Answering (QA) systems. Graphical interfaces to query these sources of information ease to constrain dynamically query formulation based on user selections, but they present a lack of flexibility in query formulation, since the expressivity power is reduced to the user interface design. Natural language interfaces (NLI) are expected as the optimal solution. However, especially for non-expert users, a real natural communication is the most difficult to realize effectively. In this paper, we propose an NLI that improves the interaction between the user and the DSS by means of referencing previous questions or their answers (i.e. anaphora such as the pronoun reference in “What traits are affected by them?”), or by eliding parts of the question (i.e. ellipsis such as “And to glume colour?” after the question “Tell me the QTLs related to awn colour in wheat”). Moreover, in order to overcome one of the main problems of NLIs about the difficulty to adapt an NLI to a new domain, our proposal is based on ontologies that are obtained semi-automatically from a framework that allows the integration of internal and external, structured and unstructured information. Therefore, our proposal can interface with databases, data warehouses, QA and IR systems. Because of the high NL ambiguity of the resolution process, our proposal is presented as an authoring tool that helps the user to query efficiently in natural language. Finally, our proposal is tested on a DSS case scenario about Biotechnology and Agriculture, whose knowledge base is the CEREALAB database as internal structured data, and the Web (e.g. PubMed) as external unstructured information.

Situación del arruí — Ammotragus lervia (Pallas, 1777)— en la sierra de Mariola (SE español): Distribución y aspectos ecológicos

El principal objetivo de esta investigación es conocer aspectos ecológicos y distribución del arruí — Ammotragus lervia (Pallas, 1777)— dentro de la sierra de Mariola. El área de estudio es un parque natural de 17.500 hectáreas situado en el sur de la Comunidad Valenciana. Un mejor conocimiento de su distribución será de interés para la definición de medidas de gestión de fauna del parque. En 2009, utilizando técnicas de fototrampeo, se recopilaron 29.941 imágenes con algún contacto animal. De estas imágenes, el 0,09% de las fotografías registradas son de arruí y se ha detectado su presencia en 7 de las 63 cuadrículas (2 × 2 km) del Parque Natural de la Sierra de Mariola (el 11,11%). El periodo de muestreo se prolongó desde agosto de 2008 hasta mayo de 2010. Este estudio ha permitido integrar la información recopilada en campo con las bases de datos existentes para confirmar la colonización y la expansión del arruí en la sierra de Mariola.

Distribución del tejón – Meles Meles (Linneo, 1758) en el Parque Natural de la Sierra de Mariola (Comunidad Valenciana)

Este trabajo de investigación es pionero y original ya que nunca antes se ha realizado un estudio del tejón (Melesmeles) dentro del ámbito valenciano y más concretamente sobre la relación de su distribución con los factores geográficos que la condicionan en el Parque Natural Sierra de Mariola. Un mejor conocimiento de su ocupación en el espacio será de interés para la definición de medidas de gestión de fauna del Parque. En 2009, utilizando técnicas de fototrampeo se recopilaron 29.941 imágenes con algún contacto animal. De estas imágenes, el 0,16% de las fotografías registradas son de tejón y se ha detectado su presencia en 6 de las 63 cuadrículas (4 Km2) del Parque Natural Sierra de Mariola (9,38%). Este estudio ha permitido integrar la información recopilada en campo con las bases de datos existentes para concluir que la situación del tejón en Sierra de Mariola no es preocupante.

Implementation Feasibility of a Digital Nervous System for the Construction Industry: For Efficient and Effective Information Management across the Project Lifecycle

The construction industry has long been considered as highly fragmented and non-collaborative industry. This fragmentation sprouted from complex and unstructured traditional coordination processes and information exchanges amongst all parties involved in a construction project. This nature coupled with risk and uncertainty has pushed clients and their supply chain to search for new ways of improving their business process to deliver better quality and high performing product. This research will closely investigate the need to implement a Digital Nervous System (DNS), analogous to a biological nervous system, on the flow and management of digital information across the project lifecycle. This will be through direct examination of the key processes and information produced in a construction project and how a DNS can provide a well-integrated flow of digital information throughout the project lifecycle. This research will also investigate how a DNS can create a tight digital feedback loop that enables the organisation to sense, react and adapt to changing project conditions. A Digital Nervous System is a digital infrastructure that provides a well-integrated flow of digital information to the right part of the organisation at the right time. It provides the organisation with the relevant and up-to-date information it needs, for critical project issues, to aid in near real-time decision-making. Previous literature review and survey questionnaires were used in this research to collect and analyse data about information management problems of the industry – e.g. disruption and discontinuity of digital information flow due to interoperability issues, disintegration/fragmentation of the adopted digital solutions and paper-based transactions. Results analysis revealed efficient and effective information management requires the creation and implementation of a DNS.