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Self-organized reuse of artifacts from software and system development, using the lightweight Wiki-Technology, promises a sustainable preservation and availability of business-critical information. However, due to the organic, sometimes chaotic growth of content inside a Wiki, additional support for structuring the knowledge and finding interrelated useful(More)
Companies order, receive, and pay for goods. Hence they continually receive and process invoices. For the most part these are printed on paper and are dealt with manually, so that each invoice after receipt involves processing costs of about 9 Euro on average. Often, human searching and typing of data into computer forms is required to transfer the(More)
Both disciplines – AI and SE – share the need to answer with structure (either called variables or data structures, or information or knowledge) when confronted with a real world scenario. This article discusses how SE Knowledge may be maintained and constantly cultivated among software engineers, adopting the well known Wiki concept based on approaches(More)
The development of software is often accompanied by poor documentation of experiences, decisions, or architectural information. Reuse of experiences and knowledge, using the lightweight Wiki-Technology, promises a sustainable assurance and availability of business-critical information. In this paper we give an overview of the RISE research project (Reuse In(More)
Although the Internet is increasingly emerging as " the " widespread platform for information interchange , day-today work in companies still necessitates the laborious, manual processing of huge amounts of printed documents. This article presents the system smartFIX, a document analysis and understanding system developed by the DFKI spin-off insiders(More)
Although the internet offers a widespread platform for information interchange, day-today work in large companies still means the processing of tens of thousands of printed documents every day. This paper presents the system smartFIX which is a document analysis and understanding system deve l-oped by the DFKI spin-off INSIDERS. It permits the processing of(More)
Document Analysis and Understanding (DAU) is a complex AI application with high industrial impact. For the increasing demands upon the bandwidth and quality of the analysis it is crucial to enable diierent analysis modules to collaborate. For making collaboration possible, we rst examine the question whether there exists a common ontological basis which can(More)