Computer science and information technologies = Комп'ютерні науки та інформаційні технології (CSIT’2006) – 2006 р.

Permanent URI for this collectionhttps://ena.lpnu.ua/handle/ntb/22502

First International Conference on Computer Scince and Information Technologies (CSIT'2006) for scientists, experts, graduates and undergraduates.

Computer science and information technologies : proceedings of the international conference (September 28th-30th, Lviv, Ukraine) / Ministry of Education and Science of Ukraine, Lviv Polytechnic National University, Institute of Computer Science and Information Technologies. – Lviv, 2006. – 202 p.

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Start date: 2006Subject: search.filters.subject.ontology

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    Distributed ontologies structural-time analysis system
    (Lviv Polytechnic National University, 2006) Pavlov, D.
    There is emphasized actuality of developing ontological structures research. A complex distributed developed ontologies structural-time analysis system is suggested. The system greatly increases facilities of an expert, who supports ontological structure’s functioning, and allows evaluating importance of changes inside the structure more effective and accurate. There is described a general functional scheme of the system.
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    New knowledge evaluation using message model of NLT document
    (Українські технології, 2006) Dosyn, D.; Darevych, R.; Lytvyn, V.; Dalyk, U.
    The algorithm of evaluation of a new knowledge of natural language text represented by its message model is developed. This method is based on estimation of a difference between known and new algorithms utility functions.
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    A natural classification as a systemological method for knowledge modelling
    (Українські технології, 2006) Bondarenko, M.; Solovyova, K.; Matorin, S.; Elchaninov, D.
    The main purpose of the given work is the application of systemological classification analysis method and natural classification criteria for conceptual knowledge acquisition, ontologies and knowledge bases creation. Method based on natural classification helps to investigate deep semantic regularities of subject domain and to take proper account of system-classes essential properties the most objectively. It allows receiving the forecasting parametrical classifications and effective ontologies in different ill-structured problem domains, knowledge management, organizational modelling for companies’ sustainable development and competitive advantages providing.