Anàlisi del cercador múltiple Copernic 2001 Pro

Podeu consultar la versió en castellà a http://hdl.handle.net/2445/8965

Análisis del buscador múltiple Copernic 2001 Pro

Podeu consultar la versió en català a http://hdl.handle.net/2445/8964

FOSS License Selection and Code Management

With nearly 2,000 free and open source software (FLOSS) licenses, software license proliferation¿ can be a major headache for software development organizations trying to speed development through software component reuse, as well as companies redistributing software packages as components of their products. Scope is one problem: from the Free Beer license to the GPL family of licenses to platform-specific licenses such as Apache and Eclipse, the number and variety of licenses make it difficult for companies to ¿do the right thing¿ with respect to the software components in their products and applications. In addition to the sheer number of licenses, each license carries within it the author¿s specific definition of how the software can be used and re-used. Permissive licenses like BSD and MIT make it easy; software can be redistributed and developers can modify code without the requirement of making changes publicly available. Reciprocal licenses, on the other hand, place varying restrictions on re-use and redistribution. Woe to the developer who snags a bit of code after a simple web search without understanding the ramifications of license restrictions.

Un motor de cerca per a l'aualé

L'aualé és possiblement el joc de mancala més conegut. Essent un joc amb adversari i de suma nul·la que s'ha estudiat profusament en el marc de la intel·ligència artificial, fins a arribar a la solució d'una de les seves variants l'any 2002. El projecte plantejat se centra en l'estudi pràctic d'una variant d'aualé de més difícil solució, 'abapa', a través de l'elaboració i optimització d'un motor de cerca.

Improving Information Problem Solving skills in Secondary Education through embedded instruction

This empirical study consists in an investigation of the effects, on the development of Information Problem Solving (IPS) skills, of a long-term embedded, structured and supported instruction in Secondary Education. Forty secondary students of 7th and 8th grades (13–15 years old) participated in the 2-year IPS instruction designed in this study. Twenty of them participated in the IPS instruction, and the remaining twenty were the control group. All the students were pre- and post-tested in their regular classrooms, and their IPS process and performance were logged by means of screen capture software, to warrant their ecological validity. The IPS constituent skills, the web search sub-skills and the answers given by each participant were analyzed. The main findings of our study suggested that experimental students showed a more expert pattern than the control students regarding the constituent skill ‘defining the problem’ and the following two web search sub-skills: ‘search terms’ typed in a search engine, and ‘selected results’ from a SERP. In addition, scores of task performance were statistically better in experimental students than in control group students. The paper contributes to the discussion of how well-designed and well-embedded scaffolds could be designed in instructional programs in order to guarantee the development and efficiency of the students’ IPS skills by using net information better and participating fully in the global knowledge society.

The Achieved Dreams of a Neighborhood

This article explains the social transformation process initiated at the end of the 1970s within the neighborhood of La Verneda-Sant Martı´ in Barcelona. This process started with the foundation of an adult education center that was organized as a Learning Community (the first one in the world). From the beginning, it was administered for and by the community. It became a space of debate where the demands and dreams of the neighbors converged about transforming their neighborhood along with the recommendations of the international scientific community. Twenty years later, the dreams came true: There have been substantial improvements throughout the urban space, infrastructures, housing, urban thoroughfares, and public highways. The INCLUD-ED European project, using the communicative methodology of research, has thoroughly studied the transformation carried out in the La Verneda-Sant Martı´ Adult School and its neighborhood. INCLUD-ED has identified successful practices within diverse social areas that are transferable to other contexts and contribute to overcoming inequalities and improving the most underprivileged neighborhoods.

Àgora. La experiencia de la Escuela de personas adultas. La verneda-Sant Martí: del aprendizaje de las tecnologías al contexto de aprendizaje tecnológico

La Comunidad de Aprendizaje Escuela de personas adultas La Verneda-Sant Martí, lleva más de 10 años trabajando las tecnologías de la información y la comunicación desde una perspectiva transversal y global. A través del trabajo que venimos realizando día a día, hemos visto como las TIC han pasado de ser una necesidad formativa a convertirse en un contexto de aprendizaje cotidiano entre las personas que participan de nuestro proyecto. Desde que en 1999 decidimos transformar nuestras actividades para integrarnos plenamente en la sociedad de la información hemos cambiado metodologías, prioridades y formas de trabajar. Mostrar cuáles han sido esas transformaciones y qué resultados son los que se han alcanzado es el principal reto del artículo.

Kernel-Based Ranking. Methods for Learning and Performance Estimation

Machine learning provides tools for automated construction of predictive models in data intensive areas of engineering and science. The family of regularized kernel methods have in the recent years become one of the mainstream approaches to machine learning, due to a number of advantages the methods share. The approach provides theoretically well-founded solutions to the problems of under- and overfitting, allows learning from structured data, and has been empirically demonstrated to yield high predictive performance on a wide range of application domains. Historically, the problems of classification and regression have gained the majority of attention in the field. In this thesis we focus on another type of learning problem, that of learning to rank. In learning to rank, the aim is from a set of past observations to learn a ranking function that can order new objects according to how well they match some underlying criterion of goodness. As an important special case of the setting, we can recover the bipartite ranking problem, corresponding to maximizing the area under the ROC curve (AUC) in binary classification. Ranking applications appear in a large variety of settings, examples encountered in this thesis include document retrieval in web search, recommender systems, information extraction and automated parsing of natural language. We consider the pairwise approach to learning to rank, where ranking models are learned by minimizing the expected probability of ranking any two randomly drawn test examples incorrectly. The development of computationally efficient kernel methods, based on this approach, has in the past proven to be challenging. Moreover, it is not clear what techniques for estimating the predictive performance of learned models are the most reliable in the ranking setting, and how the techniques can be implemented efficiently. The contributions of this thesis are as follows. First, we develop RankRLS, a computationally efficient kernel method for learning to rank, that is based on minimizing a regularized pairwise least-squares loss. In addition to training methods, we introduce a variety of algorithms for tasks such as model selection, multi-output learning, and cross-validation, based on computational shortcuts from matrix algebra. Second, we improve the fastest known training method for the linear version of the RankSVM algorithm, which is one of the most well established methods for learning to rank. Third, we study the combination of the empirical kernel map and reduced set approximation, which allows the large-scale training of kernel machines using linear solvers, and propose computationally efficient solutions to cross-validation when using the approach. Next, we explore the problem of reliable cross-validation when using AUC as a performance criterion, through an extensive simulation study. We demonstrate that the proposed leave-pair-out cross-validation approach leads to more reliable performance estimation than commonly used alternative approaches. Finally, we present a case study on applying machine learning to information extraction from biomedical literature, which combines several of the approaches considered in the thesis. The thesis is divided into two parts. Part I provides the background for the research work and summarizes the most central results, Part II consists of the five original research articles that are the main contribution of this thesis.

WikiSAC: sistema col·laboratiu per a l’ atenció ciutadana en administracions municipals

L’objectiu dels Serveis Intel·ligents d’Atenció Ciutadana (SAC) és donar resposta a les necessitats d'informació dels ciutadans sobre els serveis i les actuacions del municipi i, per extensió, del conjunt del serveis d'interès ciutadà. Des que l’ iSAC s’ha posat en funcionament, periòdicament s’analitzen les consultes que es fan en el sistema i el grau de satisfacció que la ciutadania té d’aquest servei. Tot i que en general les valoracions són satisfactòries s’ha observat que actualment aquest sistema té un buit, hi ha un ampli ventall de respostes que, de moment, l’iSAC no és capaç de resoldre, i possiblement el 010, el call center del servei d’atenció ciutadana, tampoc. Algunes de les cerques realitzades marxen molt de l’àmbit municipal i és l’experiència de la mateixa ciutadania la que pot oferir un millor resultat. És per aquest motiu que ha sorgit la necessitat de crear wikiSAC. Eina que te com a principals objectius que: poder crear, modificar i eliminar el contingut d’una pàgina de forma interactiva de manera fàcil i ràpida a través d’un navegador web; controlar els continguts ofensius i malintencionats; conservar un historial de canvis; incentivar la participació ciutadana i aconseguir que aquest sigui un lloc on els ciutadans preguntin, suggereixin i opinin sobre temes relacionats amb el seu municipi i aconseguir que els ciutadans es sentin més integrats amb el funcionament de l’administració, col∙laborant en les tasques d’informació i atenció ciutadana

Common Craft

Common craft make short videos which explain in simple terms some common concepts and technologies used in learning and teaching. These are available through The Common Craft Store, which offers versions of videos that are: Downloadable files Presentation-quality Licensed for workplace use You can find the free, online versions of the videos on The Common Craft Show. Topics include phishing, RSS, wikis, Twitter, social networking, social bookmarking, web search strategies, social media, podcasting, sharing photos online and many more.

Impacto de la apertura en la conectividad e integración de Colombia en la red mundial de comercio

La liberalización colombiana es analizada, con frecuencia, con los coeficientes de apertura, este documento, en cambio, presenta un análisis complementario a través de algoritmos usados en la teoría de redes para caracterizar sistemas complejos. Esta nueva aproximación devela estructuras de la red mundial de comercio antes y después de la apertura, así como cambios en la posición colombiana.

Fraseologismos zoônimos: elaboração de base de dados Português-Francês

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Atividades investigativas em grupos online: possibilidades para a educação matemática a distância

Pós-graduação em Educação Matemática - IGCE

Un approccio per la concettualizzazione di insiemi di documenti

Introduzione a tecniche di web semantico e realizzazione di un approccio in grado di ricreare un ambiente familiare di un qualsiasi motore di ricerca con funzionalità semantico-lessicali e possibilità di estrazione, in base ai risultati di ricerca, dei concetti e termini chiave che costituiranno i relativi gruppi di raccolta per i vari documenti con argomenti in comune.

A day in the life of PubMed: analysis of a typical day's query log.

OBJECTIVE: To characterize PubMed usage over a typical day and compare it to previous studies of user behavior on Web search engines. DESIGN: We performed a lexical and semantic analysis of 2,689,166 queries issued on PubMed over 24 consecutive hours on a typical day. MEASUREMENTS: We measured the number of queries, number of distinct users, queries per user, terms per query, common terms, Boolean operator use, common phrases, result set size, MeSH categories, used semantic measurements to group queries into sessions, and studied the addition and removal of terms from consecutive queries to gauge search strategies. RESULTS: The size of the result sets from a sample of queries showed a bimodal distribution, with peaks at approximately 3 and 100 results, suggesting that a large group of queries was tightly focused and another was broad. Like Web search engine sessions, most PubMed sessions consisted of a single query. However, PubMed queries contained more terms. CONCLUSION: PubMed's usage profile should be considered when educating users, building user interfaces, and developing future biomedical information retrieval systems.