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Auflistung nach Schlagwort "knowledge representation"

1 - 2 von 2
  • Konferenzbeitrag
    Agile Sentiment Analysis for more Responsive Public Relations
    (Electronic Government and Electronic Participation - Joint Proceedings of Ongoing Research of IFIP EGOV and IFIP ePart 2030, 2013) Cestnik, Bojan; Kern, Alenka
    The constituting e-government organizations like ministries, agencies, funds and councils often have to deal with severe media attention and sometimes more or less justified criticism. In this paper we present an approach that supports the task of managing public relations (PR) between organizations and the news media. The proposed approach is based on agile sentiment analysis of the questions that organizations receive from the journalists and media. Such analysis is relevant for reviewing past events as well as predicting the future happenings. We demonstrate the utility of the proposed approach by analyzing a set of 298 questions received by a public organization from various media in the period from 2007 till 2012. The results confirm that that by incorporating agile sentiment analysis into regular PR workflow organizations can improve their understanding and control of communication with the media and public.
  • Konferenzbeitrag
    Evaluation of a decision support system for the recommendation of pasture harvest date and form
    (43. GIL-Jahrestagung, Resiliente Agri-Food-Systeme, 2023) Reuter, Tobias; Saborío Morales, Juan Carlos; Tieben, Christoph; Nahrstedt, Konstantin; Kraatz, Franz; Meemken, Hendrik; Hünker, Gerrit; Lingemann, Kai; Broll, Gabriele; Jarmer, Thomas; Hertzberg, Joachim; Trautz, Dieter
    The task of generating automatic recommendations of pasture harvest date and form was previously addressed through a knowledge-based decision support system (DSS). The system follows expert rules and exploits data such as the weather history and forecast, the growth stage of grass and legumes, plant height and crude fibre content. In this paper, we present the results of our evaluation of this DSS on 26 fields in West and Northwest Germany. We compared the suggestions made by the DSS with the decisions of expert farmers and obtained an accuracy of R²=0.746 and RMSE=7.83 days. The best results occurred for intensively managed fields for dairy cows, with an R² of 0.891 and RMSE of 3.20 days. We conclude our DSS and its underlying methodology have the potential to support farmers and secure high-quality fodder.