Conflictivitat comunicativa en episodis d'emergència: aproximació a la cobertura informativa i la gestió institucional de l'esfondrament d'un túnel del metro al barri del Carmel de Barcelona

En aquesta investigació s’estudien els processos de producció de la informacióper part dels mitjans de comunicació i la gestió comunicativa institucional en episodis d’emergència. En concret, s’analitzen les negociacions entre els actors, les fonts informatives i el respecte deontològic en la divulgacióde les notícies. Per tal de conèixer específicament aquesta conflictivitat,s’ha escollit per a l’estudi de cas l’esfondrament d’un túnel del metro albarri del Carmel de Barcelona el gener de 2005. Per a realitzar aquesta investigació,s’ha utilitzat una perspectiva teòrica multidisciplinària. S’han pres en consideració els postulats teòrics de la sociologia, a partir del diàleg queestableixen diferents autors (Beck, Giddens, Lash i Luhmann) entre el conceptede modernitat i el nou paradigma que Beck (1998) denomina la societat del risc. També s’han tingut en compte els camps de la teoria i la sociologia de la comunicació i, més específicament, el marc teòric del periodisme i de les relacions públiques.

Ontologia de Twitter : El primer pas per inferir informació dels tweets

La web semàntica ens pot facilitar i agilitzar l'aprenentatge o recerca d'informació a través de les relacions de conceptes que ens aporta gràcies a la utilització de les ontologies. Per a la creació de la nostra ontologia hem utilitzat el programa Protégé. Per al disseny de l'ontologia ens hem basat en les funcionalitats bàsiques del Twitter.

Creació d'una aplicació col·laborativa orientada a web semàntica

L'objectiu d'aquest projecte es la creació d'una plataforma que ofereix un nou format per a presentar aquest tipus d'informació, i que a mes permet la integració d'ontologies per a poder classificar les diferents noticies que s'afegeixin al sistema.

XML y web semántica diseño y populación semiautomático de ontologías

El objetivo de este proyecto es familiarizarse con las tecnologías de Semántica, entender que es una ontología y aprender a modelar una en un dominio elegido por nosotros. Realizar un parser que conectándose a la la Wikipedia y/o DBpedia rellene dicha ontología permitiendo al usuario navegar por sus conceptos y estudiar sus relaciones.

Trabajo final de carrera web semántica

Software de lectura y población de ontología con información de DBpedia y Wikipedia.

Lenguajes de modelado de procesos para Servicios Web Semánticos : Caso de estudio BPEL4WS y WSMO

Estudi de les tecnologies Web Service Modeling Ontology (WSMO) i Business Process Execution Language For Web Services (BPEL4WS) i anàlisi de WSMO i de BPEL4WS documentant els punts clau de cada tecnologia, a continuació se'n realitzarà una comparativa entre les esmentades tecnologies, posant una especial atenció a WSMO

Personalized touristic routes implementing semantic web on GIS

Nowadays, when a user is planning a touristic route is very difficult to find out which are the best places to visit. The user has to choose considering his/her preferences due to the great quantity of information it is possible to find in the web and taking into account it is necessary to do a selection, within small time because there is a limited time to do a trip. In Itiner@ project, we aim to implement Semantic Web technology combined with Geographic Information Systems in order to offer personalized touristic routes around a region based on user preferences and time situation. Using ontologies it is possible to link, structure, share data and obtain the result more suitable for user's preferences and actual situation with less time and more precisely than without ontologies. To achieve these objectives we propose a web page combining a GIS server and a touristic ontology. As a step further, we also study how to extend this technology on mobile devices due to the raising interest and technological progress of these devices and location-based services, which allows the user to have all the route information on the hand when he/she does a touristic trip. We design a little application in order to apply the combination of GIS and Semantic Web in a mobile device.

Ontología de ALUS

En este trabajo se describe una base de conocimiento de las ALU humanas. La ontología incorpora términos SO y GO y está orientada a describir el contexto genómico del conjunto de ALU. Para cada elemento ALU se almacenan el gen y transcrito más cercanos, así como su anotación funcional de acuerdo a GO, el estado de la cromatina circundante y los factores de transcripción presentes en la ALU. Se han incorporado reglas semánticas para facilitar el almacenamiento, consulta e integración de la información. La ontología de ALU es plenamente analizable mediante razonadores como Pellet y está parcialmente transferida a una wiki semántica.

Contamination of genomic databases by HIV-1 and its possible consequences. A study in Bioinformatics.

Peer-reviewed

PhylomeDB v4: zooming into the plurality of evolutionary histories of a genome

Phylogenetic trees representing the evolutionary relationships of homologous genes are the entry point for many evolutionary analyses. For instance, the use of a phylogenetic tree can aid in the inference of orthology and paralogy relationships, and in the detection of relevant evolutionary events such as gene family expansions and contractions, horizontal gene transfer, recombination or incomplete lineage sorting. Similarly, given the plurality of evolutionary histories among genes encoded in a given genome, there is a need for the combined analysis of genome-wide collections of phylogenetic trees (phylomes). Here, we introduce a new release of PhylomeDB (http://phylomedb.org), a public repository of phylomes. Currently, PhylomeDB hosts 120 public phylomes, comprising >1.5 million maximum likelihood trees and multiple sequence alignments. In the current release, phylogenetic trees are annotated with taxonomic, protein-domain arrangement, functional and evolutionary information. PhylomeDB is also a major source for phylogeny-based predictions of orthology and paralogy, covering >10 million proteins across 1059 sequenced species. Here we describe newly implemented PhylomeDB features, and discuss a benchmark of the orthology predictions provided by the database, the impact of proteome updates and the use of the phylome approach in the analysis of newly sequenced genomes and transcriptomes.

eggNOG v4.0: nested orthology inference across 3686 organisms

With the increasing availability of various 'omics data, high-quality orthology assignment is crucial for evolutionary and functional genomics studies. We here present the fourth version of the eggNOG database (available at http://eggnog.embl.de) that derives nonsupervised orthologous groups (NOGs) from complete genomes, and then applies a comprehensive characterization and analysis pipeline to the resulting gene families. Compared with the previous version, we have more than tripled the underlying species set to cover 3686 organisms, keeping track with genome project completions while prioritizing the inclusion of high-quality genomes to minimize error propagation from incomplete proteome sets. Major technological advances include (i) a robust and scalable procedure for the identification and inclusion of high-quality genomes, (ii) provision of orthologous groups for 107 different taxonomic levels compared with 41 in eggNOGv3, (iii) identification and annotation of particularly closely related orthologous groups, facilitating analysis of related gene families, (iv) improvements of the clustering and functional annotation approach, (v) adoption of a revised tree building procedure based on the multiple alignments generated during the process and (vi) implementation of quality control procedures throughout the entire pipeline. As in previous versions, eggNOGv4 provides multiple sequence alignments and maximum-likelihood trees, as well as broad functional annotation. Users can access the complete database of orthologous groups via a web interface, as well as through bulk download.

Ontología de Twitter

TFC sobre la creación de una ontología para Twitter y el desarrollo de un plugin para la aplicación Protégé que permite cargar datos desde Twitter.

Semantic data integration in a newspaper content management system

A newspaper content management system has to deal with a very heterogeneous information space as the experience in the Diari Segre newspaper has shown us. The greatest problem is to harmonise the different ways the involved users (journalist, archivists...) structure the newspaper information space, i.e. news, topics, headlines, etc. Our approach is based on ontology and differentiated universes of discourse (UoD). Users interact with the system and, from this interaction, integration rules are derived. These rules are based on Description Logic ontological relations for subsumption and equivalence. They relate the different UoD and produce a shared conceptualisation of the newspaper information domain.

A Semantic wiki for quality management in software development projects

Quality management has become a strategic issue for organisations and is very valuable to produce quality software. However, quality management systems (QMS) are not easy to implement and maintain. The authors' experience shows the benefits of developing a QMS by first formalising it using semantic web ontologies and then putting them into practice through a semantic wiki. The QMS ontology that has been developed captures the core concepts of a traditional QMS and combines them with concepts coming from the MPIu'a development process model, which is geared towards obtaining usable and accessible software products. Then, the ontology semantics is directly put into play by a semantics-aware tool, the Semantic MediaWiki. The developed QMS tool is being used for 2 years by the GRIHO research group, where it has manages almost 50 software development projects taking into account the quality management issues. It has also been externally audited by a quality certification organisation. Its users are very satisfied with their daily work with the tool, which manages all the documents created during project development and also allows them to collaborate, thanks to the wiki features.

Interoperability of learning objects copyright in the LUISA semantic learning management system

Semantic Web technology is able to provide the required computational semantics for interoperability of learning resources across different Learning Management Systems (LMS) and Learning Object Repositories (LOR). The EU research project LUISA (Learning Content Management System Using Innovative Semantic Web Services Architecture) addresses the development of a reference semantic architecture for the major challenges in the search, interchange and delivery of learning objects in a service-oriented context. One of the key issues, highlighted in this paper, is Digital Rights Management (DRM) interoperability. A Semantic Web approach to copyright management has been followed, which places a Copyright Ontology as the key component for interoperability among existing DRM systems and other licensing schemes like Creative Commons. Moreover, Semantic Web tools like reasoners, rule engines and semantic queries facilitate the implementation of an interoperable copyright management component in the LUISA architecture.