Journal:Informatica
Volume 18, Issue 2 (2007), pp. 203–216
Abstract
In this paper, the information theory interpreted as the neural network systems of the brain is considered for information conveying and storing. Using the probability theory and specific properties of the neural systems, some foundations are presented. The neural network model proposed and computational experiments allow us to draw a conclusion that such an approach can be applied in storing, coding, and transmission of information.
Journal:Informatica
Volume 11, Issue 1 (2000), pp. 41–48
Abstract
The survey of the current status in ontological engineering is presented: notion, peculiarities, applications, design and evaluation of ontologies. The possibilities of using The Brain™, a personal desktop productivity tool, for visualisation of ontologies are outlined and compared with that of Hyperbolic ontology viewer of Ontobroker.
Journal:Informatica
Volume 8, Issue 1 (1997), pp. 139–152
Abstract
ProObj is a Prolog based system for knowledge representation which was strongly influenced by object-oriented and frame-based systems. The paper shortly describes ProObj and then presents a classification mechanism which is based on the ideas of classifiers in KL-ONE like systems.
As a new and very flexible feature we present a user-directed control of classification process. The ProObj classifier gives the user the possibility to guide the classification process by excluding attributes and facets – elements of our representation formalism – from being considered in the classification. By this mechanism we gain a substantial improvement of the efficiency of the classification process. Furthermore, it allows a more flexible and adequate modelling of a knowledge domain. It is possible to build a knowledge base under a particular view where only those attributes of concepts are considered for classification which seem to be relevant for the structure of the domain hierarchy.
Journal:Informatica
Volume 6, Issue 2 (1995), pp. 181–192
Abstract
Rule-based systems are usually interpreted as a shallow expert systems realization tool. The paper analyses how the applicability of production rules can be extended using the proposed rule base structuring discipline. Its main constructions are rule grouping according to elementary aspects of investigation, and decomposition of actions. In addition, the rule cycle construction is used for discrete time simulation tasks. The proposed method is illustrated by 2 applications: the expert subsystem for a database, and the simulator of a water heater.