Brazil

WebMedia 2021

Using word embedding models for semantic search in the online employment marketplace

The AACL, Asia-Pacific Chapter of the Association for Computational Linguistics, and the AFNLP, Asian Federation of Natural Language Processing, invite you to participate in the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL) and the 10th International Joint Conference on Natural Language Processing (IJCNLP).

A registration is required to access this event. Access to the event site will be granted to all registered attendees on **November 16th**. If you have not already done so, please register using the link below:
 
 https://conference.iis.sinica.edu.tw/servlet/Register?ConferenceID=411

Registration Is Required

IJCNLP-AACL 2022

The AACL, Asia-Pacific Chapter of the Association for Computational Linguistics, and the AFNLP, Asian Federation of Natural Language Processing, invite you to participate in the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL) and the 10th International Joint Conference on Natural Language Processing (IJCNLP). 

technical paper

### Welcome to the Brazilian Symposium on Multimedia Systems and Web 
Promoted annually by the Brazilian Computer Society (SBC), the Brazilian Symposium on Multimedia Systems and Web (WebMedia) is the main event on the subject in Brazil and an excellent opportunity for scientific and technical exchanges between students, researchers and professionals in the areas of Multimedia, Hypermedia and Web. This year, we will be celebrating the 27th edition of WebMedia, to be held from **November 5th to 12th, 2021**, organized by the Federal University of Minas Gerais and Federal University of São João Del Rei. For the second time in its history, the event will be held online, with interaction between the participants being done through tools and web platforms.
 <iframe width="560" height="315" src="https://www.youtube.com/embed/2GvWKRUDtAY" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe> 
The Webmedia 2021 schedule will feature:
 
* Technical sessions for the presentation of scientific articles.
* National and international lectures
* Panel with Companies
* Workshops
* Short courses
* Project meetings open to the community
 

The topics of interest for paper submission are:
 
* Web and Social Networks
* Multimedia
* Digital TV, Ubiquitous and Mobile Computing
 

In addition to the main track, WebMedia 2021 will feature the Tools and Applications Workshop, the Scientific Initiation Papers Contest, the Theses and Dissertations Contest, the RNP CT-Video Workshop.
 
The organization of WebMedia 2021 is under the responsibility of the [Department of Computer Science at UFMG (DCC/UFMG)](http://dcc.ufmg.br/) and [Department of Computer Science at UFSJ (DCOMP/UFSJ)](https://dcomp.ufsj.edu.br/)
 
**#PartiuWebMedia2021 #WebMedia2021**

The Brazilian Symposium on Multimedia Systems and Web (WebMedia) is the main event on the subject in Brazil and an excellent opportunity for scientific and technical exchanges between students, researchers and professionals in the areas of Multimedia, Hypermedia and Web.

Tourism is one of the most competitive, lucrative, and socially im-portant economic segments in the world. Therefore, understandingthe behavior of tourists is strategic for improving services andresults. Many studies in the literature explore this issue using tra-ditional data, such as surveys. These approaches provide reliable,precise information, but it is hard to obtain on a large scale, makingstudying worldwide patterns difficult. Location-Based Social Net-works (LBSNs) could minimize these problems due to the ease ofacquiring large amounts of detailed behavioral data. Nevertheless,before using such data, it is imperative to determine whether theinformation reveals behaviors comparable to traditional data - ourground truth. Thus, this work investigates whether the interna-tional flow of tourists measured with LBSN data is similar to thebehavior estimated by the World Tourism Organization with tradi-tional data sources. Our results suggest that LBSNs data representthe studied behavior well, indicating that they could be used inresearch regarding tourism mobility at different levels.

Comparing International Movements of Tourists

Não acredite em tudo que você lê!" — Desinformação na Web: Desafios, Análises e Resultados

Como podemos moldar o futuro do Brasil por meio de design e tecnologia integrados à logística?

The power of graphs in immersive communications

Sistemas de Recomendação na Globo: algorítmos, desafios e tendências

Computação Afetiva na Web

In agribusiness, the treatment and sustainable management of waste in intensive production systems must consider productivity and economic gains in the short term and the sustainability of agricultural production. The acquisition of technical information, and the knowledge about the characteristics of the rural property, are
fundamental for stakeholders, especially considering the adequacy of sustainable environmental practices. It is necessary to provide a web-based system to support stakeholders in discovering and understanding their productive context. This paper proposes a solution to support stakeholders’ decision-making to improve sustainable
practices in agribusiness. The proposed solution is applied in the agricultural domain, focusing on sustainability, by implementing a web system supported by an ontology to organize and provide strategic information through a mobile app. Technical and regulatory environmental practices documents are recommended for a relevant context, considering a feasibility study with experts in the field. As a result, the approach provided decision-making support offering technical information efficiently and agile for stakeholders.

@grogest_Ambiental: A Web-based Decision Support System for agribusiness

Widgets are part of many web applications and implement distinct interaction mechanisms, in reusable user interface components.
However, implementing accessible widgets is a challenge, associated to different factors highlighted in the state-of-the-art, such as: lack of developers knowledge of accessibility guidelines, organization support and tools that support accessible development.
This paper reports an investigation on JavaScript source-code complexity impacts of implementing accessibility requirements in widgets.
We investigated Dialog, Drop-down menu and Tab widgets of 27 open-source JavaScript libraries.
The results showed that widget software artifacts reported an increased average of source-code complexity when implementing accessibility requirements.
Results also showed that using DOM-oriented JavaScript libraries (eg. jQuery) significantly increased source-code complexity of widgets.
Nevertheless, when using Declarative Component-based JavaScript libraries, no significant difference in source-code complexity was observed.
These results suggest that using Declarative Component-based widget libraries might reduce maintainability costs of JavaScript front-end projects.

Code Complexity Impact of Widgets Accessibility Implementation in JavaScript Open-Source Libraries

This work presents a systematic process for computing Bourdieusian Social Capital (BSC) within institutional Twitter profiles. Based
on the observation of sociability practices (social interactions) with
the support of Pierre Bourdieu’s Theory, we capture data related
to these practices, crystallized through performing actions such as
Tweet, Comment, Retweet and Like. Next, social interactions are
extracted from the captured data as sequences of actions and they
are used to compute the effective mobilization capacity of each
profile. Finally, the BSC volume is measured by using the effective
mobilization capacity, the number of social interactions and the
number of followers. The results obtained are aligned with the
Bourdieu theory and the systematic process allows to compute the
continuous sociability effort of each profile to maintain and expand
its BSC. Moreover, the results show that polarities positive and
neutral impacts in the composition of the BSC volume.

Link da apresentação: https://drive.google.com/file/d/1FMr2CgFZDrop4OQIB82qiBTChRpilOjr/view?usp=sharing

A Systematic Process for Computing Bourdieusian Social Capital within Institutional Profiles on Twitter.

This work presents a mobile tool for collecting and labeling data
about Twitter’s sociability practices. Such data are related to the
execution of functionalities such as Tweet, Comment, Retweet and
Like. During the capture, the data are labeled with a sequence of
actions, which is learned via the GSP algorithm, and the polarity of
sentiment contained in the tweet. At the end, the data are processed
to compute the volume of Bourdieusian Social Capital (BSC) of the
profile and are also available for the user of the tool to export
them. In addition, the composition of the BSC from the polarity of
sentiment is computed

Link da apresentação: https://drive.google.com/file/d/1FJGUsCSDlgMaDPOJrLhK1ER2-6Gen73B/view?usp=sharing

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Comparing International Movements of Tourists

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