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Semantic Wikis have demonstrated the power of combining Wikis with Semantic Web technology. The KiWi system goes beyond Semantic Wikis by providing a flexible and adaptable platform for building different kinds of Social Semantic Software, powered by Semantic Web technology. This article describes the main functionalities and components of the KiWi system(More)
This paper describes state of the art in reason maintenance with a focus on its future usage in the KiWi project. To give a bigger picture of the field, it also mentions closely related issues such as non-monotonic logic and paraconsistency. The paper is organized as follows: first, two motivating scenarios referring to semantic wikis are presented which(More)
Semantic Wikis have demonstrated the power of combining Wikis with Semantic Web technology. The KiWi system goes beyond Semantic Wikis by providing a flexible and adaptable platform for building different kinds of Social Semantic Software, powered by Semantic Web technology. While the KiWi project itself is primarily focussed on the knowledge management(More)
The growing impact of Semantic Wikis deduces the importance of finding a strategy to store textual articles, semantic metadata and management data. Due to their different characteristics, each data type requires a specialized storing system, as inappropriate storing reduces performance, robustness, flexibility and scalability. Hence, it is important to(More)
”The most difficult thing with ideas is not to have them. It’s to find out if they’re good [1].” This position paper demonstrates the requirements for an idea management application and presents the idea management tool Ideator. The Ideator is a software tool which is currently under development and which offers innovative and flexible solutions to idea(More)
Due to the ever growing amount of content in the Web of Data, the retrieval of relevant information is challenging. Currently, efficient resource recommendation methods are lacking, that could ease the exploration of data in the Web of Data. To alleviate this situation, this paper proposes the R3 resource recommendation framework for retrieval of data in(More)
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