Jonice Oliveira

GCC: a knowledge management environment for research centers and universities

Research centers and universities are knowledge-intensive institutions, where the knowledge creation and distribution are constant – and this knowledge should be managed. In spite of it, scientific work had been known for being solitary work, in which human interaction happened only in small groups within a research domain. Nowadays, due to technology improvements, scientific data from different sources is available, communication between researchers is facilitated and scientific information creation and exchange is faster than in the past. However, the focus on information exchange is too limited to create systems that enable true cooperation and knowledge management in scientific environments. To facilitate a more expressive exchanging, sharing and dissemination of knowledge and its management, we create a scientific knowledge management environment in which researchers may share their data, experiences, ideas, process definition and execution, and obtain all the necessary information to execute their tasks, make decisions, learn and disseminate knowledge.

Using social networks analysis for collaboration and team formation identification

Social networks are sets of links that organize people, groups, and institutions in an equal and democratic way, and around a common purpose [4]. During the formation of such networks, problems can arise, such as elements that concentrate many relationships, very isolated individuals or peripheral members of a network, people who are the only link between two distinct groups, agglomerations of people in isolated points. This can cause a series of communications problems, which ultimately will cause losses to the most important element that flows through social networks: knowledge. Thus it is necessary a series of analysis on social networks so we can monitor possible collaborations and assist in the formation of work teams, this can be done through the concept of balancing social networks developed by us [20], whose main focus is to maintain the social network as cohesive as possible in order to maximize the flow of knowledge. A practical application of these analysis occurred in the project BRINCA (Analysis and Balancing of Scientific Social Networks in Cancer Control). BRINCAs goals are to analyze how members of the Cancer INCT (National Institute of Science and Technology) collaborate and how the scientific knowledge flows amongst the different researchers and institutions. With this project we could perform contextualized analysis (i.e. by relationship type, subject, institution, geographic location, time) and use the metrics of social network analysis to understand and verify how collaboration occurs in a multi-disciplinary, multi-team project. Moreover, we used the criteria of social network analysis to perform the balancing. In addition, some of the analysis made on the scenery of cancer are shown.

Mining and Analyzing Multirelational Social Networks

A Social Network is a social structure consisting of individuals or organizations, usually represented by nodes tied by one or more types of interdependency or relationship. This work focuses on using data mining techniques to identify intra and inter organization groups of people with similar profiles that could have relationships amongst them. For this, we construct a multirelational scientific social network where researchers may have four different types of relations with each other. In this paper, we analyze the scientific scenario in Computing Science in Brazil, assessing how researchers in the best universities and research centres collaborate and relate to each other.

Mining and Analyzing Organizational Social Networks Using Minimum Spanning Tree

This work focuses on using data mining techniques to identify intra and inter organization groups of people with similar profiles and that could have relationships among them. Our clustering method identifies clusters with a link mining-based technique that uses the minimum spanning tree to construct group hierarchies. In this paper we analyze the scientific scenario in Computing Science in Brazil, assessing how researchers in the best universities and research centers collaborate and relate to each other.

Clairvoyance: A framework to integrate shared displays and mobile computing devices

Supporting formal and informal meetings with digital information and ubiquitous software systems every day becomes increasingly mandatory. These meetings require that the integration of devices participating in the meeting and the information flow among them should be done as seamless as possible to avoid jeopardizing the natural interactions among participants. Trying to contribute to address such a challenge, this article presents a framework that allows devices integration and smooth information flow. This framework, named Clairvoyance, particularly integrates mobile computing devices and large-screen TVs through a mobile ad hoc network, and thus it eases the implementation of shared displays intended to be used in formal and informal meetings. Clairvoyance provides a set of services through an API, which can be used to develop ubiquitous applications that support meetings in particular scenarios. The preliminary evaluation of this framework considered its usage to implement a ubiquitous system that supports social meetings among friends or relatives. According to developers, the framework is easy to use and it provided all required services for such an application. The solution obtained was then utilized by end-users in simulated meetings. The evaluation results indicate that the Clairvoyance services were suitable to support the informal meetings, and that the devices integration and information flow were transparent for the end-users.

A business-based negotiation process for reaching consensus of meanings

Since multi-disciplinary teams are common in business, design and manufacturing environments, it is more problematical to find a common vocabulary or an agreement over meaning. This issue especially disturbs a design project, which must be composed by 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 meaning negotiation using ontologies to obtain the consensus of meanings, based on models of business negotiation, and consequently, deal with conflicts and multiplicity of ideas, making this negotiation a way of creating value for all agents involved.

Epistheme: a scientific knowledge management environment in the SpeCS collaborative framework

Scientific work was known for being solitary work, where human interaction happened only in small groups within a research domain. Nowadays, due to technology improvements, scientific data from different sources are available, communication between researchers is facilitated and scientific information creation and exchange is faster than in the past. To facilitate this exchange, sharing and dissemination of knowledge and its management, we propose a scientific knowledge management environment where researchers may share their data, past experiences, ideas and get all the necessary information to execute their tasks, make decisions, collaborate with one another and disseminate knowledge.

Autonomic analysis of social networks

Modern society offers us many ways to socially interact with friends, colleagues, co-workers, etc. In this scenario, our social networks are in constantly changing and interests, objectives, and other things involved in each social interaction can be affected or even remain out of reach. For each change, the social network has to be re-analyzed to show us if the interests and objectives can still be attained. Each analysis carries its own variables, relevant information, contexts and difficulties, and this new analysis can be expensive for a Human entity. We argue that autonomic computing could help with the analysis and in decision-making, transforming the network into an autonomic social network: intelligent networks capable of analyzing themselves and suggesting actions to individuals or computational systems towards attaining one or more set goals.

GCE: knowledge management applied in a design reengineering process

In order to reach competitive advantage, manufacturing firms need not only to coordinate business and cross-border activities, but must also integrate and improve internal processes, coordinate access to internal and external knowledge, exploit and develop their employees’ capabilities. In a manufacturing context, there are several levels (equipments

Conceptual crowdsourcing models for e-learning

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