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25th IEEE International Conference on computer Supported Cooperative Work in Design, CSCWD 2022

作者： Chaves, Ramon Motta, Claudia Correia, Antonio Paredes, Hugo Caetano, Barbara De Souza, Jano Moreira Schneider, Daniel Postgraduate Program in Informatics PPGI/UFRJ Rio de Janeiro Brazil Federal University of Rio de Janeiro Brazil Inesc Tec University of Tr s-os-Montes e Alto Douro Utad Quinta de Prados Apartado 1013 Vila Real Portugal Systems Engineering and Computer Science Program PESC/COPPE/UFRJ Rio de Janeiro Brazil

ISBN: (纸本)9781665405270

In recent years, digital technologies have been used to support discussions about the city and also to involve citizens in participatory public processes. However, despite the widespread use of social media platforms, old issues related to engagement and participation still persist in digital initiatives. The main goal of this study is to carry out an empirical evaluation of a collective intelligence model that combines crowdsourcing and social storytelling to support discussions about the city from a bottom-up perspective. Within a design science research approach we designed a participatory action study that was carried out through a workshop with students and professionals from different areas, such as architecture, urban design and information technology. As a result, we were able to assess whether the collective intelligence model was acceptable to the participants by investigating whether the behavioral assumptions were valid and thus outlining some contributions to the field of urban informatics. © 2022 IEEE.

关键词： Crowdsourcing

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A Roadmap for Cloud SECO: EcoData and the New Actors in IoT Era

A Roadmap for Cloud SECO: EcoData and the New Actors in IoT ...

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International Conference on Distributed Computing in Sensor systems (DCOSS)

作者： Marcelo França Rodrigo Santos Claudia Werner IBM - International Business Machines Brazil COPPE/UFRJ - Federal University of Rio de Janeiro Rio de Janeiro Brazil Computer Science and Systems Engineering Department COPPE/UFRJ - Federal University of Rio de Janeiro Rio de Janeiro Brazil

This paper's main goal is to structure an initial research on the Software Ecosystem (SECO) field, regarding the so called CAMSS (Cloud, Analytics, Mobile, Social and Security) and IoT (Internet of Things) technologies. Our main goal is to share our first ideas and some observations we have been conducting in an empirical way. As such, Cloud SECOs bring the ecosystem environment to another level, with new challenges in all three dimensions: technology, social and business. Besides that, we have been observing a possible shift in the center of some SECOs, i.e., Those "things" connected to the Internet have introduced new players - at least in the sense they interact with the environment by providing data. As new software architectures and technologies emerge to support the new scenario being drawn, our research tries to characterize this new ecosystem and identify challenges, providing a roadmap that could help new entrants.

关键词： Companies Cloud computing Ecosystems Mobile communication Security

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Learning context to adapt business processes

Learning context to adapt business processes

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International Conference on computer Supported Cooperative Work in Design

作者： Juliana do E. Santo Carvalho Flavia Maria Santoro Kate Revoredo Vanessa Tavares Nunes Postgraduate Information Systems Program UNIRIO Rio de Janeiro Brazil COPPE PESC-Systems Engineering and Computer Science Program UFRJ Rio de Janeiro Brazil

ISBN: (纸本)9781467360845

Dynamic adaptation is the customization of a business process to make it applicable to a particular situation at any time of its life cycle. Adapting requires experience, and involves knowledge about various, internal and external, aspects of business. Thus, we argue for the application of adaptation rules, considering the context of a particular process instance. Furthermore, we state that a context-based adaptation environment should go beyond, and learn from decisions, as well as continuously identify new unforeseen situations (context definitions). The aim of this paper is to present a computational engine that infers the need to update situations and adaptation rules, suggesting changes to them. An application scenario is presented to discuss the usage of the proposal.

关键词： Context Itemsets Proposals Adaptation models Aircraft Runtime

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Competence mining for team formation and virtual community recommendation

Competence mining for team formation and virtual community r...

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International Conference on computer Supported Cooperative Work in Design

作者： S. Rodrigues J. Oliveira J.M. de Souza COPPE/UFRJ-Computer Science Department Graduate School of Engineering-Federal University of Rio de Janeiro Brazil DCC-IM/UFRJ-Computer Science Department Mathematics Institute Federal University of Rio de Janeiro Brazil

Currently, one problem faced by the organizations is the inability of the institution to know what it actually knows, in other words, the competences that the organization masters. This problem especially disturbs team formation for a design project, which must be composed of people with specific knowledge to execute different activities. Simple classification or a keyword approach is not sufficient for competence identification. The expertise of an employee or researcher often differs in small but significant details, and an approach is required to allow the accurate description of people's competences and to implement a retrieval strategy that finds a person with a specific competence. We propose a technique to identify competences by mining employee documents, especially publications. We have chose a number of criteria, which is described in this paper, to find people with specific expertise and propose than to projects. Finally, a possible indication for a person's participation in a community is her/his published knowledge and expertise degree.

关键词： Knowledge management computer science Collaboration Product development Mathematics Zinc compounds Information management Databases Innovation management Quality management

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Decisio-epistheme: An integrated environment to geographic decision-making

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4th International Conference on Practical Aspects of Knowledge Management, PAKM 2002

作者： de Castro, Manuel Oliveira, Jonice Strauch, Julia Souza, Jano M. COPPE/UFRJ-Computer Science Department Graduate School of Engineering COPPE/UFRJ PO Box 68513 Rio de JaneiroRJ21945-970 Brazil EMBRAPA/Solos Brazilian Agricultural Research Corporation Rua Jardim Botânico 1024 Rio de JaneiroRJ22460-000 Brazil IM/UFRJ Mathematics Institute Federal University of Rio de Janeiro PO Box 68511 Rio de JaneiroRJ21945-970 Brazil

ISBN: (纸本)9783540003144

Collaborative decision-making in geographic-driven management projects often face problems as: difficulties of manage spatial data as a component of the process, lack of coordination of the different areas involved in the process, difficulties of knowledge access, badly defined decision processes, and absence of an appropriate tool that manages spatial data in a collaborative approach. Decisio-Epistheme is an integrated web-based environment that uses workflow, knowledge management and decision support tools to ease collaborative decision processes that deal with spatial data. In our approach, the collaborative decision process is treated as a form of knowledge creation because its definition and related activities are complementary to the process of externalization, internalization, combination and socialization of knowledge. The system is being applied in an agro-meteorological project, with the purpose of improving the results at the Brazilian agro-business. © Springer-Verlag Berlin Heidelberg 2002.

关键词： Geographic information systems

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ARARA — A collaborative tool to requirement change awarenes

ARARA — A collaborative tool to requirement change awarenes

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International Conference on computer Supported Cooperative Work in Design

作者： Ester J. C. de Lima José A. Rodrigues Nt. Geraldo B. Xexéo Jano M. de Souza COPPE/UFRJ Graduate School of Engineering Brazil COPPE/UFRJ Graduate School of Engineering Federal University of Rio de Janeiro Brazil DCC-IM Computer Science Department - Institute of Mathematics Federal University of Rio de Janeiro Brazil

This paper describes a collaborative tool, ARARA (Artifacts and Requirements Awareness Reinforcement Agents), that provides awareness in Software Development Process (SDP). Ontologies support this application for they are used by project team members when preparing the artifacts, propagating the concepts through them, and used by agents as knowledge base to retrieve information, tag the artifacts, detect changes, and search for linked artifacts that may be affected by a change on a previous artifact. This collaborative tool can improve team members awareness automatically no matter where they are geographically working, once agents are responsible for tracking and notifying requirements, or any other changes, to team members, including consequent candidates for modifications.

关键词： Collaborative tools Ontologies Software engineering Collaborative work Application software Design engineering computer science Mathematics Programming Information retrieval

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Improving experiences reuse in environmental decision process

Improving experiences reuse in environmental decision proces...

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International Workshop on Database and Expert systems Applications

作者： E. Bomfim J. Oliveira J.M. de Souza COPPE/UFRJ-Computer Science Department Graduate School of Engineering / Federal University of Rio de Janeiro Brazil DCC-IM/UFRJ-Computer Science Department Mathematics Institute Federal University of Rio de Janeiro Brazil

The activities executed in the environment planning process are extremely dependent on the knowledge of their performers. Thus, knowledge management initiatives are very important in these activities. One of the possibilities for improving knowledge flow is to explore past experiences, resulting from the modeling and execution of previous decisions. This work presents Thoth, a system which aims at knowledge reuse in the environmental decision process, during the planning, design and execution of activities. This approach is integrated with a CBR approach, also described in this paper, with workflow systems and the use of ontologies.

关键词： Decision making Process planning Geographic Information systems computer science Mathematics Knowledge management Data analysis Knowledge engineering Ontologies Protection

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Toward a methodology for the optimal design of mooring systems for floating offshore platforms using evolutionary algorithms

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Marine systems and Ocean Technology 2016年第3-4期11卷 55-67页

作者： Monteiro, Bruno da Fonseca de Pina, Aline Aparecida Baioco, Juliana Souza Albrecht, Carl Horst de Lima, Beatriz Souza Leite Pires Jacob, Breno Pinheiro LAMCSO – Laboratory of Computer Methods and Offshore Systems Civil Engineering Department PEC/COPPE/UFRJ – Post Graduate Institute of the Federal Univ. of Rio de Janeiro Avenida Pedro Calmon S/N Cidade Universitária Ilha do Fundão Rio de Janeiro RJ21941-596 Brazil TEQ/UFF – Petroleum Engineering Department Rua Passo da Pátria no. 156 São Domingos Niterói RJ24210-240 Brazil

This work presents the first steps toward the development of an innovative computational tool, based on evolutionary optimization methods, for the synthesis and optimization of spread-mooring configurations for floating production systems (FPS). The modeling of the optimization problem departs from the classical design approach that has led to symmetrically distributed lines. As the complexity of FPS has been increasing for recent applications, we consider asymmetric configurations where the mooring radii and azimuthal angles of the lines vary along the corners of the platform. This increases the number of design variables, leading to thousands of alternative geometric configurations whose structural behavior should be evaluated during the optimization process. Since each evaluation requires extensively time-consuming nonlinear analyses, this might introduce severe limitations for the optimization tool. In this context, the goal is to assess the performance of two of the most popular evolutionary algorithms—the particle swarm optimization (PSO) and the differential evolution (DE) methods, applied to a case study representative of actual deep-water FPS. The results open many roads for future developments, indicating that evolutionary algorithms (EAs) with fast convergence and ability to explore the search space may be further explored toward the development of an efficient mooring optimization strategy. © 2016, Sociedade Brasileira de Engenharia Naval.

关键词： Floating production systems

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Meaning Negotiation for Consensus Formation in Ontology Integration

Meaning Negotiation for Consensus Formation in Ontology Inte...

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International Conference on computer Supported Cooperative Work in Design

作者： Jonice Oliveira Jairo De Souza Melise Paula Jano Moreira De Souza COPPE/UFRJ-Computer Science Department Graduate School of Engineering Federal University of Rio de Janeiro Brazil Universidade Federal do Rio de Janeiro Rio de Janeiro RJ BR COPPE/UFRJ - Computer Science Department Graduate School of Engineering Federal University of Rio de Janeiro Brazil DCC-IM/UFRJ - Computer Science Department Mathematics Institute Federal University of Rio de Janeiro Brazil. jano@cos.ufrj.br

ISBN: (纸本)142440164X

In project teams, having an unique vocabulary and a common understanding about terms is essential to the success of the project. This issue especially disturbs a design project, which has a multidisciplinary team and must consist of people with specific and different knowledge, from diverse domains, to execute special activities. Negotiation arises from this context as a process for the construction of consensus. The goal of this work is to present a model of negotiation to obtain the consensus of meanings, based on models of business negotiation, and consequently, deal with conflicts and the multiplicity of understandings of a concept, making this negotiation a way for creating value for all agents involved

关键词： Ontologies Collaborative work computer science Vocabulary Environmental economics Mathematics Knowledge management Humans Product design Software prototyping

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Integrating web and mobile knowledge management tools to improve negotiations

Integrating web and mobile knowledge management tools to imp...

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IEEE International Conference on systems, Man and Cybernetics

作者： Sergio Assis Rodrigues Tiago Santos Silva Carlos Pivotto Allan Girao Jano Moreira de Souza Evandro Rocha COPPE/UFRJ-Computer Science Department Graduate School of Engineering Federal University of Rio de Janeiro Rio de Janeiro Brazil

One of the most essential problems during negotiations is to know what people aim to claim. Although it sounds strange, most professionals go into the negotiation table without enough preparation. Regarding preparation it is important to understand that this is the stage when professionals have to anticipate the counterpart's interests, alternatives, concessions and possible changes in strategy. Experienced negotiators usually keep in their mind the whole negotiation and, most of the time, they still have personal notes about the deal. Indeed, people have memory limits and this may disrupt even the cleverest ones. Therefore, Negotiation Support systems can help to store this information and also manipulate it in the future. In this direction, this work presents an environment focused on a negotiation preparation step, mainly considering knowledge management and mobile technologies. The article shows how these concepts may carry out the preparation stage, advantages to use it and available reports. Besides, some experiments and results will be also addressed in this work.

关键词： Mobile communication Knowledge management Risk management Context Knowledge engineering Radar Software

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