Computer Democracy - Our Next Step in Europe

After about a quarter of a century of enlightened development and ongoing preparatory technological, scientific and political activities we are arrived at the realization period of the idea. The two major technological vehicles of progress are the World Wide Web, the most democratic international forum of information exchange and the advent of public key cryptography as a combined philosophical and practical device of individual integrity and collective responsibility.

Telehealth Approach for Glaucoma Progression Monitoring

This paper presents a Web-Centric [3] extension to a previously developed glaucoma expert system that will provide access for doctors and patients from any part of the world. Once implemented, this telehealth solution will publish the services of the Glaucoma Expert System on the World Wide Web, allowing patients and doctors to interact with it from their own homes. This web-extension will also allow the expert system itself to be proactive and to send diagnosis alerts to the registered user or doctor and the patient, informing each one of any emergencies, therefore allowing them to take immediate actions. The existing Glaucoma Expert System uses fuzzy logic learning algorithms applied on historical patient data to update and improve its diagnosis rules set. This process, collectively called the learning process, would benefit greatly from a web-based framework that could provide services like patient data transfer and web- based distribution of updated rules [1].

A computational approach to measuring the correlation between expertise and social media influence for celebrities on microblogs

Social media influence analysis, sometimes also called authority detection, aims to rank users based on their influence scores in social media. Existing approaches of social influence analysis usually focus on how to develop effective algorithms to quantize users’ influence scores. They rarely consider a person’s expertise levels which are arguably important to influence measures. In this paper, we propose a computational approach to measuring the correlation between expertise and social media influence, and we take a new perspective to understand social media influence by incorporating expertise into influence analysis. We carefully constructed a large dataset of 13,684 Chinese celebrities from Sina Weibo (literally ”Sina microblogging”). We found that there is a strong correlation between expertise levels and social media influence scores. Our analysis gave a good explanation of the phenomenon of “top across-domain influencers”. In addition, different expertise levels showed influence variation patterns: e.g., (1) high-expertise celebrities have stronger influence on the “audience” in their expertise domains; (2) expertise seems to be more important than relevance and participation for social media influence; (3) the audiences of top expertise celebrities are more likely to forward tweets on topics outside the expertise domains from high-expertise celebrities.

Making sense of microposts (#MSM2013) concept extraction challenge

Microposts are small fragments of social media content that have been published using a lightweight paradigm (e.g. Tweets, Facebook likes, foursquare check-ins). Microposts have been used for a variety of applications (e.g., sentiment analysis, opinion mining, trend analysis), by gleaning useful information, often using third-party concept extraction tools. There has been very large uptake of such tools in the last few years, along with the creation and adoption of new methods for concept extraction. However, the evaluation of such efforts has been largely consigned to document corpora (e.g. news articles), questioning the suitability of concept extraction tools and methods for Micropost data. This report describes the Making Sense of Microposts Workshop (#MSM2013) Concept Extraction Challenge, hosted in conjunction with the 2013 World Wide Web conference (WWW'13). The Challenge dataset comprised a manually annotated training corpus of Microposts and an unlabelled test corpus. Participants were set the task of engineering a concept extraction system for a defined set of concepts. Out of a total of 22 complete submissions 13 were accepted for presentation at the workshop; the submissions covered methods ranging from sequence mining algorithms for attribute extraction to part-of-speech tagging for Micropost cleaning and rule-based and discriminative models for token classification. In this report we describe the evaluation process and explain the performance of different approaches in different contexts.

Modelling question selection behaviour in online communities

Value of online Question Answering (QandA) communities is driven by the question-answering behaviour of its members. Finding the questions that members are willing to answer is therefore vital to the effcient operation of such communities. In this paper, we aim to identify the parameters that cor- relate with such behaviours. We train different models and construct effective predictions using various user, question and thread feature sets. We show that answering behaviour can be predicted with a high level of success.

Ranked search on data graphs

Graph-structured databases are widely prevalent, and the problem of effective search and retrieval from such graphs has been receiving much attention recently. For example, the Web can be naturally viewed as a graph. Likewise, a relational database can be viewed as a graph where tuples are modeled as vertices connected via foreign-key relationships. Keyword search querying has emerged as one of the most effective paradigms for information discovery, especially over HTML documents in the World Wide Web. One of the key advantages of keyword search querying is its simplicity—users do not have to learn a complex query language, and can issue queries without any prior knowledge about the structure of the underlying data. The purpose of this dissertation was to develop techniques for user-friendly, high quality and efficient searching of graph structured databases. Several ranked search methods on data graphs have been studied in the recent years. Given a top-k keyword search query on a graph and some ranking criteria, a keyword proximity search finds the top-k answers where each answer is a substructure of the graph containing all query keywords, which illustrates the relationship between the keyword present in the graph. We applied keyword proximity search on the web and the page graph of web documents to find top-k answers that satisfy user’s information need and increase user satisfaction. Another effective ranking mechanism applied on data graphs is the authority flow based ranking mechanism. Given a top- k keyword search query on a graph, an authority-flow based search finds the top-k answers where each answer is a node in the graph ranked according to its relevance and importance to the query. We developed techniques that improved the authority flow based search on data graphs by creating a framework to explain and reformulate them taking in to consideration user preferences and feedback. We also applied the proposed graph search techniques for Information Discovery over biological databases. Our algorithms were experimentally evaluated for performance and quality. The quality of our method was compared to current approaches by using user surveys.

A Multi-Criteria Decision-Making Approach to Compare and Contrast the Websites of China-based and U.S-based Hotels

The improvement in living standards and the development of telecommunications have led to a large increase in the number of Internet users in China. It has been reported by China National Network Information Center that the number of Internet users in China has reached 33.7 million in 2001, ranting the country third in the world. This figure also shows that more and more Chinese residents have accepted the Internet and use it to obtain information and compete their travel planning. Milne and Ateljevic stated that the integration of computing and telecommunications would create a global information network based mostly on the Internet. The Internet, especially the World Wide Web, has had a great impact on the hospitality and tourism industry in recent years. The WWW plays an important role in mediating between customers and hotel companies as a place to acquire information acquisition and transact business.

A practical system for hands-off computer interaction based on electromyogram (EMG)/eye gaze tracking (EGT)

Effective interaction with personal computers is a basic requirement for many of the functions that are performed in our daily lives. With the rapid emergence of the Internet and the World Wide Web, computers have become one of the premier means of communication in our society. Unfortunately, these advances have not become equally accessible to physically handicapped individuals. In reality, a significant number of individuals with severe motor disabilities, due to a variety of causes such as Spinal Cord Injury (SCI), Amyothrophic Lateral Sclerosis (ALS), etc., may not be able to utilize the computer mouse as a vital input device for computer interaction. The purpose of this research was to further develop and improve an existing alternative input device for computer cursor control to be used by individuals with severe motor disabilities. This thesis describes the development and the underlying principle for a practical hands-off human-computer interface based on Electromyogram (EMG) signals and Eye Gaze Tracking (EGT) technology compatible with the Microsoft Windows operating system (OS). Results of the software developed in this thesis show a significant improvement in the performance and usability of the EMG/EGT cursor control HCI.

Learning Mechanisms for Information Filtering Agents

Postprint

Au-delà de la textualité : l'hyper[texte] comme médium

Mémoire numérisé par la Direction des bibliothèques de l'Université de Montréal.

Au-delà de la textualité : l'hyper[texte] comme médium

Mémoire numérisé par la Direction des bibliothèques de l'Université de Montréal.

La información, un recurso en alza: El futuro de la documentación en los museos

La información es un recurso trascendental en las economías actuales y los museos empiezan a darse cuenta de la importancia de difundir el conocimiento de sus colecciones a través del potente canal de comunicación que es la web. El saber acumulado por años de investigación, trasmitido mediante publicaciones en papel, empieza a fluir a través de la red, acercando al museo a los miles de usuarios que no van a poder visitarlo físicamente. El desprendimiento generoso de esa información tiene su lógica en el modelo del “potlatch digital”, en el que la visibilidad de la información hace aumentar su valor y proporciona prestigio a la institución que la ha puesto en circulación sin restricciones. El futuro de los servicios documentales de los museos, incluidas las bibliotecas y los archivos, está en facilitar esa apertura, pensar y trabajar para la comunidad global, obteniendo así su reconocimiento.

Programas de tertulia política en Twitter: un modelo neurocomunicativo de análisis del discurso

En este trabajo aplicamos a la red social Twitter un modelo de análisis del discurso político y mediático desarrollado en publicaciones previas, que permite hacer compatible el estudio de los datos discursivos con propuestas explicativas surgidas a propósito de la comunicación política (neurocomunicación) y de la comunicación digital (la red como quinto estado, convergencia, inteligencia colectiva). Asumimos que hay categorías del encuadre discursivo (frame) que pueden ser tratadas como indicadores de habilidades cognitivas y comunicativas. Analizamos estas categorías agrupándolas en tres dimensiones fundamentales: la intencional (ilocutividad del tuit, encuadre interpretativo de las etiquetas), referencial (temas, protagonistas), e interactiva (alineamiento estructural, predictibilidad; marcas de intertextualidad y dialogismo; afiliación partidista). El corpus consta de 4116 tuits: 3000 tuits pertenecientes a los programas Al Rojo Vivo (La Sexta: A3 Media), Las Mañanas Cuatro (Cuatro: Mediaset) y Los Desayunos de TVE (RTVE), 1116 tuits de seguidores de los programas, que corresponden a 45 tuits de cada programa. Los resultados confirman que el modelo permite establecer diferentes perfiles de subjetividad política en las cuentas de Twitter.

CultuRAM: agenda cultural da Região Autónoma da Madeira

A Região Autónoma da Madeira é uma região turística com uma oferta cultural intensa e diversificada, que é dinamizada por um considerável número de entidades. A necessidade de gerir toda essa oferta torna-se cada vez mais premente. Com esta necessidade surge o conceito de agenda cultural única, um mecanismo que congregue toda a atividade cultural desenvolvida na região. O projeto Agenda Cultural da Região Autónoma da Madeira, designado por CultuRAM, consiste numa aplicação web direcionada às entidades regionais que desenvolvam atividades no domínio da cultura. Essas entidades podem ser públicas ou privadas que estejam ligadas à promoção e divulgação de eventos culturais. Esta plataforma de gestão e divulgação de conteúdos tem por principal objetivo a centralização da gestão e divulgação da atividade cultural desenvolvida na região, posicionando-se como uma agenda cultural única. Com esta ferramenta pretende-se criar as condições necessárias aos diversos intervenientes, de modo a assegurar uma melhor oferta cultural, tanto aos residentes, como aos turistas que nos visitam. Este relatório descreve e documenta os métodos de investigação e fases de desenvolvimento do projeto, com enfase na referência e fundamentação dos modelos e tecnologias utilizadas.

Wi-share: partilha de configurações wi-fi

A popularidade dos dispositivos móveis tem vindo a aumentar significativamente nos últimos anos e, com isso, surge a necessidade de aceder à Internet nos smartphones e tablets, quer para fins laborais quer para lazer. Devido às limitações de tráfego nas redes móveis, como 3G ou 4G, as pessoas procuram conectar-se aos pontos de acesso nas suas proximidades para poupar tráfego móvel. Os pontos de acesso também são uma outra forma de se conseguir conectar à Internet no estrangeiro, mesmo quando não se tem disponível um plano de dados móveis. As soluções existentes, que visam conectar os seus utilizadores à Internet através de pontos de acesso, requerem o pagamento de uma taxa elevada ou violam a privacidade das redes Wi-Fi ao permitir que todos os utilizadores se consigam conectar sem a devida autorização dos proprietários e que consumam tráfego e largura de banda sem quaisquer restrições. Com este trabalho pretende-se permitir que os proprietários das redes possam limitar os recursos de quem acede às suas redes (tráfego, largura de banda e/ou número de utilizadores conectados) usando apenas uma aplicação Android para fazer todo o controlo de acesso e limitação de recursos. Além de limitar os recursos pretende-se possibilitar a interoperabilidade entre pontos de acesso de diferentes plataformas para permitir que utilizadores de diferentes operadores de telecomunicações possam partilhar as suas redes mutuamente. Para se atingir estes objetivos foi desenvolvido um sistema composto por uma aplicação Android e um servidor web. O teste da solução foi feito através de testes com utilizadores, identificando-se que os participantes partilharam maioritariamente as suas próprias redes. A maioria dos utilizadores optou por partilhar as suas redes de forma pública (com todos os utilizadores) e limitar o número de utilizadores conectados para salvaguardar o desempenho da sua ligação. Com este trabalho, consegue-se concluir que é possível incentivar os utilizadores a partilhar as suas redes caso estejam presentes mecanismos que consigam manter a privacidade da rede e que lhes consigam dar controlo sobre a partilha.