Abstract: The origin for the classification of analogy is a comparison procedure we use to make a conclusion about similarity between the source and the target. Whenever the comparison procedure is not clarified, the analogy remains ambiguous. But if this procedure is formalized the analogy may allow to formulate and check conditions of its (still partial, but often very high) confidence. Below I discuss some ideas, which grounded certain algorithms allowed to calculate different kinds of similarity between texts, in particular of natural languages. The literal similarity of two words, as well as the lexical similarity of two given texts, can be estimated using so called “Theory of Finite Sequences Similarity”. The structural similarity can be measured by fixing certain name groups in the source text and check the cohesion (proximity) of names belonging to corresponding groups in the target. Special logical formalism called “The Language of Ternary Description” can provide good templates for source text structuring when comparing texts of natural languages. It was demonstrated statistically that algorithms proposed for texts’ analogy estimation provide “practically trustworthy” conclusions in the knowledge testing area. I argue also that high degree of confidence for that type of analogy is connected with the background of analogy (the notion which was discussed by G. Polya) though that background need not to be evidently formalized.

Keywords: analogy, texts’ similarity, knowledge testing, free answers

ACM Classification Keywords: I.2.6 Artificial Intelligence – Learning – Analogies; K.3.1 Computers and Education - Computer Uses in Education

Link:

ANALOGIES BETWEEN TEXTS: MATHEMATICAL MODELS AND APPLICATIONS IN COMPUTER-ASSISTED KNOWLEDGE TESTING

Leonid Leonenko

http://foibg.com/ibs_isc/ibs-19/ibs-19-p14.pdf

Abstract: A possible approach for more flexible and user-oriented risk assessment methodologies and creating infrastructure for exchanging and processing spatial data in Europe is outlined in the paper. Priority is given to setting up a network of servers in different parts of Europe which work in harmony and constitute parts of a unified system, integrated with a network of regional units for risk and security management. Such approach is considered in many respects to be better, more effective and yielding faster and better quality results than the creation of centralized structures – a super-server where primary data are fed by various municipalities, regions and countries, or international super - agency for risk and security.

Keywords: Infrastructure for spatial data in Europe, user-oriented risk assessment methodologies, network of servers, network of regional units for risk and security.

ACM Classification Keywords: C.2 COMPUTER-COMMUNICATION NETWORKS, C.2.5 Local and Wide-Area? Networks

Link:

A COMPREHENSIVE APPROACH AND USER-ORIENTED POLICY FOR MANAGING RISK AND SAFETY

Kristian Milenov, Krassimir Markov, Venko Bozhilov, Radko Radkov, Pavel Milenov

http://foibg.com/ibs_isc/ibs-19/ibs-19-p13.pdf

Abstract: The increasingly huge volume of financial information found in a number of heterogeneous business sources is characterized by unstructured content, disparate data models and implicit knowledge. As Semantic Web Technologies mature, they provide a consistent and reliable basis to summon financial knowledge properly to the end user. In this paper, we present SEFSS, a semantically enhanced financial search engine empowered by semi-structured crawling, inference-driven and ontology population strategies bypassing the present state-ofthe- art technology caveats and shortcomings.

Keywords: Semantic Web Technologies, financial knowledge, ontology, Web-services, data crawling

ACM Classification Keywords: I.2.4 Knowledge Representation Formalisms and Methods - Semantic networks, H.3.3 Information Search and Retrieval - Retrieval models

Link:

INTEGRATION OF FINANCIAL DOMAIN KNOWLEDGE ON BASE OF SEMANTIC WEB TECHNOLOGIES

Anatoly Gladun, Julia Rogushina, Rodrigo Martínez-Béjar?, Francisco García- Sanchez and Rafael Valencia-García?

http://foibg.com/ibs_isc/ibs-19/ibs-19-p12.pdf

Abstract: The known editors of ontologies are analyzed, and their main characteristics are identified. Three decision-making criterions to choose ontology editor are formulated.

Keywords: ontology, ontology editor

ACM Classification Keywords: I.2.4 Knowledge Representation Formalisms and Methods

Link:

КРИТЕРИИ ПРИНЯТИЯ РЕШЕНИЙ ПРИ ВЫБОРЕ РЕДАКТОРА ОНТОЛОГИЙ

Дмитрий Климань, Вера Любченко

http://foibg.com/ibs_isc/ibs-19/ibs-19-p11.pdf

Аннотация: Рассматриваются методы автоматизации формирования онтологии предметной области (ПрО), интересующей пользователя, путем лингвистической обработки естественно- языковых документов, пертинентных этой ПрО, в частности, словарных статей толковых словарей, доступных через Web энциклопедий и т.д. Предлагается одновременно формировать специализированную лексическую онтологию (СЛО) этой ПрО, имеющую фиксированную структуру и содержащую сведения о лексемах, соответствующих терминам этой ПрО. СЛО затем используется для лингвистического анализа ЕЯ-текстов, позволяя обнаруживать фрагменты ЕЯ-текста, связанные с понятиями ПрО. Результаты такого анализа используются далее как для дополнения онтологии ПрО, так и для решения задач пользователя.

Keywords: Semantic Web Technologies, ontology, natural language processing

ACM Classification Keywords: I.2.4 Knowledge Representation Formalisms and Methods - Semantic networks, H.3.3 Information Search and Retrieval - Retrieval models

Link:

ИСПОЛЬЗОВАНИЕ СПЕЦИАЛИЗИРОВАННОЙ ЛЕКСИЧЕСКОЙ ОНТОЛОГИИ ДЛЯ АВТОМАТИЗАЦИИ ОРМИРОВАНИЯ ОНТОЛОГИИ ПРЕДМЕТНОЙ ОБЛАСТИ ПО ЕСТЕСТВЕННО-ЯЗЫКОВЫМ ТЕКСТАМ

Ольга Лесько, Юлия Рогушина

http://foibg.com/ibs_isc/ibs-19/ibs-19-p10.pdf

Abstract: В работе описана архитектура двух основных компонент онтологической системы с обработкой естественно-языковых объектов – компьютерной онтологии и программно-аппаратных средств с онтолого-управляемой архитектурой.

Keywords: компьютерные онтологии, онтолого-управляемая архитектура.

ACM Classification Keywords: I.2 ARTIFICIAL INTELLIGENCE - I.2.4 Knowledge Representation Formalisms and Methods.

Link:

КОМПЬЮТЕРНЫЕ ОНТОЛОГИИ И ОНТОЛОГО-УПРАВЛЯЕМАЯ АРХИТЕКТУРА ИНФОРМАЦИОННЫХ СИСТЕМ

Николай Петренко

http://foibg.com/ibs_isc/ibs-19/ibs-19-p09.pdf

Аннотация: Рассматривается проблема системной интеграции онтологий предметных областей с точки зрения формирования общего интегрированного пространства трансдисциплинарных знаний. Разработана методика и алгоритм указанной интеграции.

Ключевые слова: онтология предметной области, системная интеграция.

ACM Classification Keywords: I.2 ARTIFICIAL INTELLIGENCE - I.2.4 Knowledge Representation Formalisms and Methods.

Link:

К ИНТЕГРАЦИИ ОНТОЛОГИЙ ПРЕДМЕТНЫХ ОБЛАСТЕЙ

Александр Палагин, Андрей Михайлюк, Виталий Величко, Николай Петренко

http://foibg.com/ibs_isc/ibs-19/ibs-19-p08.pdf

Abstract: В работе анализируется свойство целостности образа. В значительной степени работа базируется на исследованиях психологов. Анализируются различные проявления целостности и характеристики образов, которые обеспечивают синтез целостных структур. Показано, что это свойство характерно не только для первичных (персептивных) образных структур, но для вторичных (образов представления и воображения). Мы полагаем, что без поддержки целостности структур образной информации в вычислительной среде невозможно моделирование процессов образно- понятийного мышления в компьютерных технологиях.

Keywords: Образ, мышление, понятие, структура, система, целостность, модель, компьютерная технология, база знаний, вычислительная среда.

ACM Classification Keywords: A.1 Information Technology for Knowledge Management; Е.1 Process-oriented Knowledge Structuring; H.1.1 Systems and Information Theory; I.2.4 Knowledge Representation Formalisms and Methods; J.4 Social and Behavioral Sciences; М.4 Intelligence Metasynthesis and Knowledge Processing in Intelligent Systems

Link:

О ЦЕЛОСТНОСТИ ОБРАЗА: ДОФОРМАЛЬНОЕ ИССЛЕДОВАНИЕ

Юрий Валькман

http://foibg.com/ibs_isc/ibs-19/ibs-19-p07.pdf

Аннотация: В статье рассматривается проблема моделирования сложных искусственных систем. Для моделирования выбрано концепцию «исскуственной жизни» так как больше всего подходит для решения поставленной задачи. Рассмотрены основные модели искусственной жизни: PolyWorld? (ПолиМир), Larry Yaeger; Interaction between learning and Evolution, D. Ackley, M. Littman; «Кузнечик», М. С. Бурцев, Р. В. Гусарев, В. Г. Редько. Обусловив все положительные и отрицательные стороны каждой модели определенно основные характеристики модели функционирования производственных предприятий которая учитывает все аспекты моделирования. Выполнена формализация основных составляющих алгоритма моделирования, предложены элементы функциональной нагрузки объектов моделирования.

Ключевые слова: искусственная жизнь, нейронные сети, моделирования эволюции, искусственная система, нейронная сеть.

ACM Classification Keywords: I.2.0 ARTIFICIAL INTELLIGENCE - General

Link:

МОДЕЛИРОВАНИЕ СЛОЖНЫХ ИСКУСТВЕННЫХ СИСТЕМ С ИСПОЛЬЗОВАНИЕМ КОНЦЕПЦИИ «ИСКУССТВЕННАЯ ЖИЗНЬ»

Богдан Мысник

http://foibg.com/ibs_isc/ibs-19/ibs-19-p06.pdf

Abstract The generalized quantitative evaluation of the organizational system using the DOTMLPF method is considered. The method application allows to estimate, having in mind the system requirements, the invested resources efficiency.

Keywords: организационная система, предприятие,

ACM Classification Keywords: J.1 Administrative Data Processing

Link:

ОБОБЩЕННАЯ ОЦЕНКА ОРГАНИЗАЦИОННЫХ СИСТЕМ

Виталий Вишневский, Владимир Калмыков, Олег Малышев

http://foibg.com/ibs_isc/ibs-19/ibs-19-p05.pdf

Аннотация: Рассмотрена необходимость прогнозирования научно-технического и социального развития стран с помощью форсайтных исследований. Предложена концепция использования Ситуационных центров как средства автоматизации форсайтных исследований, а также организации работы малых экспертных групп. Для этого предлагается создать веб-ориентированное решение для автоматизации различных этапов метода Дельфи - формирование группы экспертов, создание анкет, проведение опроса и генерации результатов опроса.

Ключевые слова: ситуационный центр, экспертные методы, форсайтные исследования, метод Дельфи.

Ключевые слова по классификации ACM: H.4 INFORMATION SYSTEMS APPLICATIONS.

Link:

СИТУАЦИОННЫЙ ЦЕНТР КАК ИНСТРУМЕНТ ДЛЯ ПРОВЕДЕНИЯ ФОРСАЙТНЫХ ИССЛЕДОВАНИЙ

Виталий Вишневский, Сергей Симонов

http://foibg.com/ibs_isc/ibs-19/ibs-19-p04.pdf

Аннотация: Предложена концепция построения, компоненты и структура модели универсума применительно к физической и компьютерной реализациям. Модель отображает категории и природу взаимодействий материальных и информационных объектов.

Ключевые слова: УНИВЕРСУМ, ОБЪЕКТ, ВЗАИМОДЕЙСТВИЯ, ОБРАЗ, КОММУНИКАНТ

ACM Classification Keywords: Philosophy and Methodology of Informatics

Link:

МОДЕЛЬ УНИВЕРСУМА

Мержвинский Анатолий

http://foibg.com/ibs_isc/ibs-19/ibs-19-p03.pdf

Аннотация: Рассмотрены методологические вопросы и последовательность построения процедур синтеза, роль самоопределения и системных дескрипторов. Описаны разновидности синтеза: реистический, атрибутивный, реляционный, а также некоторые цели и задачи синтеза. Ключевые слова: системный анализ и синтез, самоопределение, системные дескрипторы, виды синтеза: реистический, атрибутивный, реляционный; задачи синтеза. Summary: The work is devoted to the system study of the complicated and weak-formalised objects, to its synthesis especially. The methodological approach to describing of system descriptors, of synthesis’ steps and such kinds of synthesis as reistic, attributive and relation ones is used. A good deal of attention is paid to the synthesis’ goals and tasks.

Keywords: system analysis and synthesis, system descriptors, kinds of synthesis: reistic, attributive and relation ones.

ACM Classification Keywords: H.1.1 – Systems and Information Theory – General Systems Theory.

Link:

О ШАГАХ СИСТЕМНОГО СИНТЕЗА (ПРОДОЛЖЕНИЕ «МЕТОДОЛОГИЧЕСКОГО МЕМОРАНДУМА» – ЧАСТЬ II)

Анатолий Крисилов, Авенир Уемов

http://foibg.com/ibs_isc/ibs-19/ibs-19-p02.pdf

Аннотация: Сформулирована проблема эффективности междисциплинарных научных исследований; выявлены наиболее существенные признаки научного знания, ограничивающие область оптимума производительности труда ученых; выявлена иерархия проблемных ситуаций на пути роста производительности труда ученых; обоснован путь разрешения этих проблемных ситуаций.

Ключевые слова: междисциплинарные научные исследования; ставшее научное знание; производительность труда ученых; оптимизация производительности труда ученых.

ACM Classification Keywords: A.0 General Literature; J.4 Social and Behavioral Sciences; М.4 Intelligence Metasynthesis and Knowledge Processing in Intelligent Systems

Link:

ПРОБЛЕМА ЭФФЕКТИВНОСТИ МЕЖДИСЦИПЛИНАРНЫХ ИССЛЕДОВАНИЙ

Александр Кургаев, Александр Палагин

http://foibg.com/ibs_isc/ibs-19/ibs-19-p01.pdf

Abstract: This paper presents the results of application of numerical methods for surface topography analysis. Surface profiles after one and two-processes were computer generated. The effect of various tip radii on distortion of surface topography measurement results was analysed.

Keywords: surface topography; roughness; stylus measurement; tip radius

ACM Classification Keywords: J.2 Physical Sciences And Engineering; G.1.2 Approximation; G.1.3 Numerical Linear Algebra;

Link:

SIMULATION OF THE EFFECT OF STYLUS TIP RADIUS ON THE RESULTS OF SURFACE TOPOGRAPHY MEASUREMENT

Sławomir Górka, Paweł Pawlus

http://foibg.com/ibs_isc/ibs-20/ibs-20-p26.pdf

Abstract: Methods and standards to determine Ppq parameter for profiles with periodical-random character, which are of functional importance, have not been developed yet. This article proposes a method to solve this problem. Furthermore, an equation describing this kind of profiles, and method of constructing software which uses this equation for calculating roughness parameter were described.

Keywords: algorithms, multi-process surfaces, roughness parameters.

ACM Classification Keywords: Algorithms, Measurement.

Link:

THE AUTOMATION OF PARAMETER PPQ IDENTIFICATION PROCESS FOR PROFILES WITH FUNCTIONAL PROPERTIES

Wiesław Graboń

http://foibg.com/ibs_isc/ibs-20/ibs-20-p25.pdf

Abstract: Failure prediction has its origins at the turn of the 15th and 16th centuries. Trade companies tried to calculate what was the risk with shipping goods over the sea. Modern failure predictions start in 70’s of 20th century. Naturally software prediction has its origins in failure prediction of electronic equipments. Nomenclature and definitions are very often similar to those used in electronics. Since 70’s scientists have been trying to find perfect model to simulate failures in software.

Keywords: system availability , failure, prediction, reliability, risk management

ACM Classification Keywords: G. Mathematics of Computing, G.3 PROBABILITY AND STATISTICS, G.3 PROBABILITY AND STATISTICS, Reliability and life testing

Link:

FAILURE PREDICTION IN COMPLEX COMPUTER SYSTEMS

Paweł Janczarek

http://foibg.com/ibs_isc/ibs-20/ibs-20-p24.pdf

Abstract: The article presents a method of identification and separation of visual objects that partially overlay each other. We also had investigated this method for example cell conglomerates division.

Keywords: decision support systems, pattern recognition.

ACM Classification Keywords: I.2.1 ARTIFICIAL INTELLIGENCE-Applications and Expert Systems

Link:

METHOD OF CONGLOMERATES RECOGNITION AND THEIR SEPARATION INTO THE PARTS

Volodymyr Hrytsyk, Viktor Vlakh

http://foibg.com/ibs_isc/ibs-20/ibs-20-p23.pdf

Abstract: In the article it has been presented the Robust Gaussian regression filtering techniques. Several typical robust weight functions have been adopted and compared with each other. Next the surface profile analysis software was shown which enables for the analysis of actual and simulated surface roughness profile. The application enables to choose the filter parameters that will be determined and gives the result of filtering in the form of a graph, and values of parameters.

Keywords: surface profile analysis, filtering techniques, Visual C++

ACM Classification Keywords: J. Computer Applications, J.2 Physical Sciences And Engineering, G. Mathematics Of Computing, G.4 Mathematical Software

Link:

SURFACE PROFILE ANALYSIS PACKAGE

Paweł Dobrzański, Magdalena Dobrzańska, Wiesław Żelasko

http://foibg.com/ibs_isc/ibs-20/ibs-20-p22.pdf

Abstract: The paper presents an approach to designing an intelligent system to be used in diabetes diagnostics as well as to creating a problem knowledge base for the system. The work also gives a description of constructing a decision tree for diabetes diagnostics and shows how to use it as a basis for generating knowledge base rules. Finally, the article also outlines how an intelligent diagnostic system works.

Keywords: neural networks, artificial intelligence, expert systems, hybrid systems, decision tree diabetes diagnostics.

Link:

A CONCEPT OF DESIGN PROCESS OF INTELLIGENT SYSTEM SUPPORTING DIABETES DIAGNOSTICS

Wioletta Szajnar, Galina Setlak

http://foibg.com/ibs_isc/ibs-20/ibs-20-p21.pdf

Abstract: A part of collection of new algorithms for synthesis of melanocytic skin lesion images is briefly described. Presented approach in the developed algorithms based on a semantic conversion of textual description of melanocytic skin lesions into hybrid (vector-raster type) digital respective images of such lesions. It is assumed, that the developed methodology could be successfully used in education of dermatology students.

Keywords: TDS, melanocytic skin lesion, image synthesis.

ACM Classification Keywords: I.3.3 Computing Methodologies – Computer Graphics – Picture/Image Generation

Link:

SYNTHESIS OF STATIC MEDICAL IMAGES WITH USING MACHINE LEARNING METHODS

Łukasz Piątek, Grzegorz Owsiany

http://foibg.com/ibs_isc/ibs-20/ibs-20-p20.pdf

Abstract: A problem of incompatible and contradictory of results of making decisions in industrial organizationand- technical complexes (OTC) is outlined. A system-and-goal approach and a semiotic approach to make system of decisions satisfying requirements of logical correctness and completeness are concretized. A concept model of knowledge-based dialog system of analysis and synthesis of goals (DS ASG) to make system of goals is considered. Using the DS ASG decision-makers work out not only the system of goals but corresponding plan of goal-achieving satisfying requirements of logical correctness and completeness and in this way solve the problem of incompatible and contradictory of results of making decisions in OTC.

Keywords: organization system, goal setting and achieving, goal analysis and synthesis,

ACM Classification Keywords: Management, Systems analysis

Link:

ANALYSIS AND SYNTHESIS OF GOALS OF COMPLEX INDUSTRIAL SYSTEMS

Lyudmila Lukyanova

http://foibg.com/ibs_isc/ibs-20/ibs-20-p19.pdf

Abstract: Usage of modeling for construction of laser installations today is actual in connection with automation of manufacture. The automated designing is used at forecasting behavior of modeled objects That is why at the certain stage of development CAD there was a necessity of creation of standardized language of the description of the equipment, one of which is VHDL. It allows to describe the behavior of digital circuits, as well as to perform and also to spend the hierarchical functional-structural description of the big integrated systems and at the same time has all signs of the programming language of high level – allows to create the types of the data, has a wide set of arithmetic and logic operations. The paper suggests synthesis of a VHDL – model of a gas laser gasdischarge circuit efficiently distributing RTL- circuits to create a new list of connections with a minimum number of components. Models of GDC lasers consist of three subtasks: a logic conclusion, optimization received RTL structures and its distribution on structural elements technology mapping

Keywords: model of a gas laser, gas-discharge circuit, VHDL – model, gas discharge circuit

ACM Classification Keywords: C.4 Performance of systems - Modeling techniques

Link:

VHDL-MODELING OF A GAS LASER’S GAS DISCHARGE CIRCUIT

Nataliya Golian, Vera Golian, Olga Kalynychenko

http://foibg.com/ibs_isc/ibs-20/ibs-20-p16.pdf

Abstract: Improving management systems is getting more and more important and topical, as the organizational structure of modern society consists of many features, peculiarities, relations, and is continuously getting more intricate. Although the society has been complex for a long time, it is only now that we are starting to comprehend its real complexity. It has become obvious that changing a characteristic can easily cause or require change to other parts of the system. Attempting to achieve an enterprise’s highest efficiency, each modern executive should use computer modeling from time to time, as it is an efficient tool for management system research that weighs qualitatively and quantitatively characteristics of system functioning. A prerequisite of modern management is to know the principles and capabilities of modeling, be able to create research and use such models. This report considers the role of business modeling for modern management tasks. Generalizing theory development in the area along with international practices and domestic experience, the author chooses the main directions of modeling for modern management and those fields of management where applying computer modeling is more efficient.. This paper weighs perspectives of modeling used to solve business problems; considers modern modeling approaches used to describe architecture, develop operational models and carry out reengineering; briefs on existing techniques and instrumental tools used in modern business modeling.

Keywords: business process, business modeling, business process modeling techniques, simulation modeling, structure-function approach, discontinuous event-driven approach, agent modeling, modeling tools.

ACM Classification Keywords: I.6.5 Model development – Modeling methodology

Link:

COMPUTER MODELING FOR MODERN BUSINESS

Elena Serova

http://foibg.com/ibs_isc/ibs-20/ibs-20-p18.pdf

Abstract. Nowadays, we are bombarded with information which has an immense influence on our decisions. It is more and more difficult to use it effectively. BI systems are very helpful. They support enterprises while carrying analyses and conducting researches. They make it possible to reach unambiguous decisions in the right time, they minimize the costs and they also provide the opportunity to verify and correlate the decisions with the entire enterprise’s strategy. BI Systems help to integrate and analyze the data coming from different sources and as a result they render it easier to reach decisions. This article presenting above issues aims at showing engines which have a positive influence on the management of information in different organizations.

Keywords: information, Business Intelligence, Management Information Systems, decision support

ACM Classification Keywords: K.6 MANAGEMENT OF COMPUTING AND INFORMATION SYSTEMS - K.6.0 General Economics

Link:

BUSINESS INTELLIGENCE AS A DECISION SUPPORT SYSTEM

Justyna Stasieńko

http://foibg.com/ibs_isc/ibs-20/ibs-20-p17.pdf