Helen Kaikova

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As ubiquitous systems become increasingly complex, traditional solutions to manage and control them reach their limits and pose a need for self-manageability. Also, heterogeneity of the ubiquitous components, standards, data formats, etc, creates significant obstacles for interoperability in such complex systems. The promising technologies to tackle these(More)
Development of computer communications has catalyzed integration processes in world communities. Initial efforts concerning integration have showed great heterogeneity between data formats being exchanged between applications. One of the aspirations of Semantic Web Activity lead by W3C is provision of interoperability on concept level between software(More)
This paper deals with an interface between expert knowledge and group of experts from whom this knowledge has been acquired and who are going to be users of it. Method is based on deriving the most supported opinion of the group of experts acting as knowledge sources with further applying of it as an interface to each of experts acting as user. Knowledge is(More)
The on-line algorithms in machine learning are intended to discover unknown function of the domain based on incremental observing of it instance by instance. These algorithms have a great ability for adaptation to each new situation they appear in time, or to a new context. In this paper we propose an algorithm for identifying the moments when the context(More)