Informatica

Ontologies are used to semantically enrich different types of information systems (IS), ensure a reasoning on their content and integrate heterogeneous IS at the semantical level. On the other hand, fuzzy theory is employed in IS for handling the uncertainty and fuzziness of their attributes, resulting in a fully fuzzy IS. As such, ontology- and fuzzy-based IS (i.e. ontology and fuzzy IS) are being developed. So, in this paper, we present a bibliometric analysis of the ontology and fuzzy IS concept to grasp its main ideas, and to increase its body of knowledge by providing a concept map for ontology and fuzzy IS. The main results obtained show that by adding ontologies and fuzzy theory to traditional ISs, they evolve into intelligent ISs capable of managing fuzzy and semantically rich (ontological) information and ensuring knowledge recognition in various fields of application. This bibliometric analysis would enable practitioners and researchers gain a comprehensive understanding of the ontology and fuzzy IS concept that they can eventually adopt for development of intelligent IS in their work.

Business rules are relatively new addition in the field of Enterprise Resource Planning (ERP) systems, which are kind of business information systems, development. Recently some relevant enhancements of existing business information systems engineering methods were introduced, although there are still open issues of how business rules may be used and improve qualitative and quantitative attributes of such kind of information systems. The paper discusses existing business information systems engineering issues arising out of using business rules approach. The paper also introduces several ways of business rule involvement aiming at ensuring ERP systems development agility based on running researches in the field also carried out by the authors.

This paper presents the set of verification rules to detect faults in specification of model of computerized information system. Computerized information system model is specified using Enterprise modeling approach, which integrates static and dynamic dependencies. Typical communication action loop is a basic construct of Enterprise modeling approach. Actions, which process data resources of computerized information system, are analyzed.

A new method for a creation of the information system for sequential identification of states of technological processes or other dynamic systems for their supervision and control is considered. The states of dynamic system can be unknown and can change themselves abruptly or slowly. The method is based on a sequential nonlinear mapping of many-dimensional vectors of parameters (collection of which describes the present state of dynamic systems) into two-dimensional vectors in order to reflect the states and their changes on the PC screen and to observe the situation by means of computer. The mapping error function is chosen and expressions for sequential nonlinear mapping are obtained. The mapping preserves the inner structure of distances among the vectors. Examples are given.