Cesar Augusto Tacla

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This paper is concerned with organizing knowledge management in complex R&D projects where time is the prime factor. We argue that speci®c portals developed using groupware technology and products should be augmented by agents in order to increase the overall system reactivity and achieve the global objective, namely to save time. We describe a portal we(More)
This paper presents a multi-agent system for knowledge management (KM) in research and development (R&D) projects. R&D teams have no time to organize project information, nor to articulate the rationale behind the actions that generated the information. Our aim is to provide a system for helping team members to explicit knowledge, and to allow them to share(More)
Most CSCW and groupware systems focus the activities of distributed teams involved in large projects by means of tools for communication and awareness. The activities of small collocated teams are often neglected. Analyzing preliminary requirements of small teams, it is possible to observe the need of tools to help the elaboration of project documentation.(More)
In supply chains of the petroleum industry, maintaining a balance between production and consumption of petroleum derivatives is a crucial issue. Basically, this kind of chain has several elements like producer bases, consumer bases, intermediary terminals that are linked by a transport network. These elements should cooperate to reach the global balance of(More)
This paper concerns a multi-agent system architecture for knowledge management (KM) systems in research and development (R&D) projects. R&D teams have no time to organize project information and to articulate the rationale behind the actions that generate the information. Our aim is to provide an architecture, which supports collaborative work and helps to(More)
In this paper, we present an approach for integrating Social Web with Semantic Web by combining the easiness of annotation of resources in the Social Web and the expressiveness of ontologies to describe the resources in the Semantic Web. Our approach combines ontology learning and ontology evolution techniques to provide an integrated Web. Besides, we show(More)