H
Hans-Jürgen Profitlich
Researcher at German Research Centre for Artificial Intelligence
Publications - 21
Citations - 945
Hans-Jürgen Profitlich is an academic researcher from German Research Centre for Artificial Intelligence. The author has contributed to research in topics: Information extraction & Decision support system. The author has an hindex of 9, co-authored 19 publications receiving 916 citations.
Papers
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Proceedings ArticleDOI
An empirical analysis of optimization techniques for terminological representation systems : or: 'Making KRIS get a move on'
TL;DR: Different methods of optimizing the classification process of terminological representation systems are considered, and their effect on three different types of test data is evaluated.
Book
Plan-based integration of natural language and graphics generation
TL;DR: The central claim of this paper is that the generation of a multimodal presentation can be considered as an incremental planning process that aims to achieve a given communicative goal.
Journal ArticleDOI
Plan-based integration of natural language and graphics generation
TL;DR: In this article, the authors describe a multimodal presentation system WIP which allows the generation of alternate presentations of the same content taking into account various contextual factors, and discuss how the plan-based approach to presentation design can be exploited so that graphics generation influences the production of text.
Journal ArticleDOI
Am empirical analysis of optimization techniques for terminological representation systems
TL;DR: Different methods of optimizing the classification process of terminological representation systems are considered and their effect on three different types of test data is evaluated.
Journal ArticleDOI
An empirical analysis of terminological representation systems
TL;DR: In this article, the authors present the results of an empirical analysis of six terminological representation systems, including KL-ONE, and the runtime performance of different systems and knowledge bases, and give an idea of what runtime performance to expect from such representation systems.