http://popups.lib.uliege.be/1373-5411/index.php?id=284 Publications of Auteurs Janos J. Sarbo fr 0 http://popups.lib.uliege.be/1373-5411/index.php?id=2364 What we think is part of reality and at least partly determined by reality at the same time. The advent of knowledge engineering asks for a shift from lifeless representational and blind reductionist models towards a relational and teleological interpretation of cognition in order to embed the cognitive events in processes of meaning production or semeiosis. Such embedding is determined by the properties of perception (the senses) and the types of distinctions that can be made by semeiosis. The selection of elements in such processes that are formalizable asks for a model in which the phases that make up the process, the decision moments and their degrees of freedom ale clearly indicated. In this paper we will outline such a model for two levels : the level of sign recognition and the level of response to a sign. The decision moments will only be indicated. The practical importance of this structure lies in its potential to be interpreted as a methodolory for (formal) specification. Thu, 01 Aug 2024 15:34:54 +0200 Tue, 08 Oct 2024 15:04:46 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=2364 http://popups.lib.uliege.be/1373-5411/index.php?id=1702 We are concerned with the problem of summarizing the contents of a coherent text. In this paper we argue that complex units of symbols like sentences, for example, are signs and the meaning of a text arises via their interaction. We introduce a model for the generation of summaries and illustrate its potential by a realistic example. Tue, 16 Jul 2024 11:53:42 +0200 Thu, 10 Oct 2024 16:29:08 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=1702 http://popups.lib.uliege.be/1373-5411/index.php?id=205 Meaning extraction from text documents is a form of information management. The approach suggested in this paper is based on Peirce's semiotic which, by virtue of its deeper foundation, provides us with an adequate modelling of the information content of langage. we exemplify the potential of the Peircean approach by extracting the meaning of a sample English text. Wed, 19 Jun 2024 11:22:31 +0200 Tue, 08 Oct 2024 14:34:03 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=205