Methods of Building Intelligent Decision Support Systems Based on Adaptive Ontology

The approach to the development of intelligent decision support systems using ontology knowledge bases consisting of such systems in the article is considered. The classification of such systems in terms of their operation based on ontologies is carried out. The mathematical functioning of intelligent decision support systems and intelligent search system based on ontology is developed. The notion of adaptive ontologies is introduced. An adaptive ontology is proposed to define as an ontology with concepts and relations weighted according to its importance for a given subject domain. This model of ontology defines not only explicit, but also implicit knowledge. The mathematical functioning of intelligent decision support systems using adaptive ontologies formalizes decision making of such a system. Semantic metric based on adaptive ontologies was built, unlike other metrics, takes into account the causal relation between the concepts, not just their taxonomy. For feature problems mathematical software based on automated determination of properties of set concepts was developed, according to the values which the process of decision support was carried out.

[1]  Vasyl Lytvyn,et al.  APPLICATION OF ALGORITHMIC ALGEBRA SYSTEM FOR GRAMMATICAL ANALYSIS OF SYMBOLIC COMPUTATION EXPRESSIONS OF PROPOSITIONAL LOGIC , 2017 .

[2]  Petro Kravets,et al.  The control agent with fuzzy logic , 2010, 2010 Proceedings of VIth International Conference on Perspective Technologies and Methods in MEMS Design.

[3]  John F. Sowa,et al.  Conceptual graphs as a universal knowledge representation , 1992 .

[4]  Olga Lozynska,et al.  Mathematical Method of Translation into Ukrainian Sign Language Based on Ontologies , 2017 .

[5]  O. Nadobko,et al.  The results of software complex OPTAN use for modeling and optimization of standard engineering processes of printed circuit boards manufacturing , 2012, Proceedings of International Conference on Modern Problem of Radio Engineering, Telecommunications and Computer Science.

[6]  Luciano Serafini,et al.  Ontology-centric Decision Support , 2012, SeRSy.

[7]  Jacques Bouaud,et al.  An Ontology-Based Clinical Decision Support System for the Management of Patients with Multiple Chronic Disorders , 2015, MedInfo.

[8]  Olga Lozynska,et al.  Linguistic models of assistive computer technologies for cognition and communication , 2016, 2016 XIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT).

[9]  Oleksiy Lutsyk,et al.  Lossless image compression in the remote sensing applications , 2016, 2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP).

[10]  Vasyl Lytvyn,et al.  Development of a method for the recognition of author’s style in the Ukrainian language texts based on linguometry, stylemetry and glottochronology , 2017 .

[11]  Dmytro Peleshko,et al.  Video-based Flame Detection using LBP-based Descriptor: Influences of Classifiers Variety on Detection Efficiency , 2017 .

[12]  Vasyl Lytvyn,et al.  Development of a method for determining the keywords in the slavic language texts based on the technology of web mining , 2017 .

[13]  Yevhen Burov,et al.  The Contextual Search Method Based on Domain Thesaurus , 2017 .

[14]  P. Kravets,et al.  The Game Method for Orthonormal Systems Construction , 2007, 2007 9th International Conference - The Experience of Designing and Applications of CAD Systems in Microelectronics.

[15]  Vasyl Lytvyn,et al.  Content linguistic analysis methods for textual documents classification , 2016, 2016 XIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT).

[16]  L. Nedostup,et al.  The software complex development for modeling and optimizing of processes of radio-engineering equipment quality providing at the stage of manufacture , 2012, Proceedings of International Conference on Modern Problem of Radio Engineering, Telecommunications and Computer Science.

[17]  Di Cai,et al.  Sentiment Analysis of Polish Texts , 2012 .

[18]  Luciano Serafini,et al.  An Ontological Framework for Decision Support , 2012, JIST.

[19]  Yevhen Burov,et al.  Algebraic Framework for Knowledge Processing in Systems with Situational Awareness , 2017 .

[20]  Taras Basyuk.  The main reasons of attendance falling of internet resource , 2015, 2015 Xth International Scientific and Technical Conference "Computer Sciences and Information Technologies" (CSIT).

[21]  O. Chernukha,et al.  Mathematical modeling of random concentracion field and its second moments in semispace with erlangian distributions of layerd inclusions , 2016 .

[22]  Lyubomyr Chyrun,et al.  The commercial content digest formation and distributional process , 2016, 2016 XIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT).

[23]  Andrea Calì,et al.  Advanced processing for ontological queries , 2010, Proc. VLDB Endow..

[24]  Patrick Garda,et al.  Decision System Integrating Preferences to Support Sleep Staging , 2016, MIE.

[25]  Thomas R. Gruber,et al.  A Translation Approach to Portable Ontologies , 1993 .

[26]  Христина Ігорівна Микіч,et al.  Research of uncertainties in situational awareness systems and methods of their processing , 2016 .

[27]  Vasyl Lytvyn,et al.  The risk management modelling in multi project environment , 2017, 2017 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT).

[28]  Iryna Khomytska,et al.  Modelling of phonostatistical structures of English backlingual phoneme group in style system , 2017, 2017 14th International Conference The Experience of Designing and Application of CAD Systems in Microelectronics (CADSM).

[29]  Vasyl Lytvyn,et al.  Time Dependence of the Output Signal Morphology for Nonlinear Oscillator Neuron Based on Van der Pol Model , 2018 .

[30]  Lyubomyr Chyrun,et al.  Peculiarities of content forming and analysis in internet newspaper covering music news , 2017, 2017 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT).

[31]  Olga Lozynska,et al.  Information system for translation into ukrainian sign language on mobile devices , 2017, 2017 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT).

[32]  Dumitru Ciobanu,et al.  Web Content Mining , 2012 .

[33]  Erin Smith Crabb,et al.  Using Structural Topic Modeling to Detect Events and Cluster Twitter Users in the Ukrainian Crisis , 2015, HCI.

[34]  Vasyl Lytvyn,et al.  Method of functioning of intelligent agents, designed to solve action planning problems based on ontological approach , 2017 .

[35]  Bamshad Mobasher,et al.  Data Mining for Web Personalization , 2007, The Adaptive Web.

[36]  Vasyl Lytvyn,et al.  ANALYSIS OF STATISTICAL METHODS FOR STABLE COMBINATIONS DETERMINATION OF KEYWORDS IDENTIFICATION , 2018 .

[37]  Lytvyn Vasyl,et al.  Application of sentence parsing for determining keywords in Ukrainian texts , 2017, 2017 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT).

[38]  Nicola Guarino,et al.  Formal ontology, conceptual analysis and knowledge representation , 1995, Int. J. Hum. Comput. Stud..

[39]  Anjali Ganesh Jivani,et al.  A Comparative Study of Stemming Algorithms , 2011 .

[40]  Tetiana Shestakevych,et al.  The Model of Data Analysis of the Psychophysiological Survey Results , 2017 .

[41]  Lyubomyr Chyrun,et al.  Method of Integration and Content Management of the Information Resources Network , 2017 .

[42]  Lyubomyr Chyrun,et al.  Intellectual system design for content formation , 2017, 2017 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT).

[43]  Iryna Khomytska,et al.  Modelling of phonostatistical structures of the colloquial and newspaper styles in english sonorant phoneme group , 2017, 2017 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT).

[44]  Yevhen Burov,et al.  Uncertainty in situational awareness systems , 2016, 2016 13th International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET).

[45]  Yevhen Burov,et al.  Information resources processing using linguistic analysis of textual content , 2017, 2017 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS).

[46]  Victoria Vysotska,et al.  Linguistic analysis of textual commercial content for information resources processing , 2016, 2016 13th International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET).

[47]  Yevhen Burov,et al.  Algebraic model for knowledge representation in situational awareness systems , 2016, 2016 XIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT).

[48]  Ivan Izonin,et al.  Learning-Based Image Scaling Using Neural-Like Structure of Geometric Transformation Paradigm , 2018 .

[49]  Lyubomyr Chyrun,et al.  Distance learning method for modern youth promotion and involvement in independent scientific researches , 2016, 2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP).

[50]  Ivan Izonin,et al.  Image Superresolution via Divergence Matrix and Automatic Detection of Crossover , 2016 .

[51]  Vasyl Teslyuk,et al.  Development and Implementation of the Technical Accident Prevention Subsystem for the Smart Home System , 2018 .

[52]  Oksana Markiv,et al.  Linguistic Comparison Quality Evaluation of Web-Site Content with Tourism Documentation Objects , 2017 .

[53]  Natalia Lotoshynska,et al.  Single-frame image super-resolution based on singular square matrix operator , 2017, 2017 IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON).

[54]  T. Zhao,et al.  An ontology-based decision support system for interventions based on monitoring medical conditions on patients in hospital wards , 2014 .

[55]  L. Chyrun,et al.  Information technology of processing information resources in electronic content commerce systems , 2016, 2016 XIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT).