Linguagem Lua participa da Summer School on Innovative Languages for Software Engineering
domingo, 2 de setembro de 2012 às 07:00

Linguagem Lua participa da Summer School on Innovative Languages for Software Engineering, juntamente com outras linguagens de importância mundial.

“LASER 2012 is devoted to programming and modeling languages. The summer school will feature prominent languages from various paradigms and areas of software engineering, presented by some of the world’s most respected language designers:

  • Andrei Alexandrescu (Facebook): C++ and D
  • Roberto Ierusalimschy (PUC Rio): Lua
  • Ivar Jacobson (Ivar Jacobson International): UML
  • Erik Meijer (Microsoft Research): C# and LINQ
  • Bertrand Meyer (ETH Zurich and Eiffel Software, organizer): Eiffel
  • Martin Odersky (EPF Lausanne): Scala
  • Simon Peyton-Jones (Microsoft Research): Haskell
  • Guido van Rossum (Google): Python”

Veja mais em: http://laser.inf.ethz.ch/2012/

Defesa de Mestrado: Projeto de Jogos Educativos 2D de Aventura usando Lua
quarta-feira, 29 de agosto de 2012 às 16:24

Orientador: Bruno Feijó
Data e Hora: 04/09 às 10:00
Local: RDC511

Defesa de Mestrado: Uso da MoLIC WOz como ferramenta de apoio a avaliação formativa baseada em diagrama de interação MoLIC
quarta-feira, 29 de agosto de 2012 às 16:19

Orientador: Simone Diniz Junqueira Barbosa
Data e Hora: 04/09 às 14:00h
Local: RDC510

Defesa de Mestrado: Um Framework para Integração entre Aplicações Móveis e Redes Sociais
terça-feira, 21 de agosto de 2012 às 10:21

Data e Hora: 29/08/2012 às 16:00
Local RDC510

Dissertação de Mestrado: Animação de Fratura de Objetos baseada em Agrupamentos de Vértices
terça-feira, 21 de agosto de 2012 às 10:16

Data e Hora: 28/08/2012 às 11:00

Defesa de Tese: Exact Algorithms for Arc and Node Routing Problems
terça-feira, 21 de agosto de 2012 às 10:11

Orientador: Marcus Poggi de Aragão
Data e Hora: 28/08/2012 às 16:00
Local: RDC511

Seminário A Structural Approach to Indexing Triples
sexta-feira, 17 de agosto de 2012 às 14:38

Abstract. As an essential part of the W3C’s semantic web stack and linked data initiative, RDF data management systems (also known as triplestores) have drawn a lot of research attention. The majority of these systems use value-based indexes (e.g., B+-trees) for physical storage, and ignore many of the structural aspects present in RDF graphs. Structural indexes, on the other hand, have been successfully applied in XML and semi-structured data management to exploit structural graph information in query processing. In those settings, a structural index groups nodes in a graph based on some equivalence criterion, for example, indistinguishability with respect to some query workload (usually XPath). Motivated by this body of work, we have started the SAINT-DB project to study and develop a native RDF management system based on structural indexes. In this talk we present a principled framework for designing and using RDF structural indexes for practical fragments of SPARQL, based on recent formal structural characterizations of these fragments. We then explain how structural indexes can be incorporated in a typical query processing workow; and discuss the design, implementation, and initial empirical evaluation of our approach.

Prof. Jan Hidders, TU Delft
Data e horário: 22/08 das 13 às 15
Local: RDC510

Laboratório Telemídia lança Ginga4Windows, que permite atualiação do middleware nesse ambiente
quinta-feira, 16 de agosto de 2012 às 07:52

“Padrão do Sistema Brasileiro de Televisão Digital Aberta (SBTVD-T), que garante a interatividade em TVs digitais com o selo DTVi, o middleware Ginga acaba de receber uma versão para Windows, Ginga4Windows, ampliando seu uso em ambientes de desenvolvimento e testes de aplicações NCL (Nested Context Language). Usuários podem realizar downloads de aplicações NCL (http://www.gingancl.org.br/pt-br/ferramentas) e interagir com essas aplicações de forma similar ao ambiente de TV. (…)”

Veja a notícia completa no site da PUC.

Seminário User Modelling on the Social Web: Twitter-based analysis for adaptation and personalisation
sexta-feira, 10 de agosto de 2012 às 15:22

Prof. Geert-Jan Houben,TU Delft, The Netherlands
In this talk, we discuss how micro-blogging activities on Twitter can be leveraged for user modeling and personalisation. We investigate this challenge and introduce a framework for user modeling on Twitter which enriches the semantics of Twitter messages (tweets) and identi es topics and entities (e.g. persons, events, products) mentioned in tweets. We analyse how strategies for constructing hashtag-based, entity-based or topic-based user profiles benefit from semantic enrichment and explore the temporal dynamics of those profiles. We further measure and compare the performance of the user modeling strategies in context of a personalised news recommendation system. Our results reveal how the different user modeling strategies impact personalization and discover that the consideration of temporal
profile patterns can improve recommendation quality. We also take a look at some applications that follow from this work, e.g. in the areas of crises management and culture-based adaptation. In the area of cultural differences we report on a study in which we analyse and compare user behaviour on two different microblogging platforms: (1) Sina Weibo which is the most popular microblogging service in China and (2) Twitter. We analyse more than 40 million microblogging activities and investigate microblogging behaviour from different angles. Our results reveal significant differences in the microblogging behaviour on Sina Weibo and Twitter and deliver valuable insights for multilingual and culture-aware user modelling based on microblogging data.

Local: Sala RDC511,
Data: 16/08 das 14 às 16horas

Seminário Towards Summarizing and Making Sense of the Blogosphere
sexta-feira, 10 de agosto de 2012 às 13:39

The extraction of structured information from text is a fast improving subfield of Natural Language Processing and Information Retrieval which has been re-invigorated with the ever-increasing availability of user-generated textual content on the Web. One environment which stands out as a source of invaluable information is the blogosphere–-the network of social media sites, in which individuals express and discuss opinions, facts, events, and ideas pertaining to their lives, their community, profession, or society at large. Indeed, the automatic extraction of reliable information from the blogosphere promises a viable approach for discovering very rich social data. Considerable attention has been given to studying the social dynamics among the participants (i.e., authors) in shared environments like the blogosphere. In that line of work, the goal is to understand how the network of humans communicating in the blogosphere forms and evolves over time, and how it influences participants in the process. Our goal, on the other hand, is to extract the network of entities, facts, ideas and opinions expressed in social media sites, as well as the relationships among them. Such structured data can be organized as one or more information networks, which in turn are powerful metaphors for the study and visualization of the conversations in the blogosphere. In this talk, I will cover the work on extracting and linking entities and relations among entities in the context of our ongoing SONEX project, which is an open relation extraction system based on a combination of text clustering and other unsupervised methods. I will also cover a large-scale experimental evaluation of open relation extraction which reveals a lot of room for improvement in the area.

Denilson Barbosa, U. of Alberta, Canada
Local: RDC511
Data : 15/8, 4ª feira das 16-18hs