There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality.

Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …

I and i

An Introduction to MultiAgent Systems.

Model-Data Fusion

Mechanical fault diagnosis and prediction in IoT based on multi-source sensing data fusion

The paper describes the integrated processing method of heterogeneous information resources of web systems, which allows for further integration and management. Our method involves the decomposition of the overall process on subprocesses of value integration, data syntax, semantics, and structure. The advantage of this approach to integration processes is the ability to execute them at the metadata level. It allows reducing the number of hits to the data of web systems, the volumes of which can be significant. The paper presents a model of the content life cycle in web systems. The model describes the processes of processing information resources in web systems and simplifies the technology of integrated automation and content management. In this work, the main problems of functional services of integration and content management were analyzed. The proposed method gives the opportunity to create tools for working out of information resources in web systems and implement the subsystem of integration and content management.

Method of Integration and Content Management of the Information Resources Network

The tremendous growth rates of Internet and volume of content stored on its servers requires the creation of tools for automatic content analysis and processing. Intelligent systems for content processing aim to simplify and automate such tasks as content analysis and classification, finding keywords and building digests, distributing content according to specified criteria. This paper presents the results of a study of patterns, characteristics and dependencies in automatic text processing of commercial content. Data and information flows in processes of commercial content transformation are elucidated and formalized. The methods of linguistic analysis are proposed for automation of all operations of content processing. A content management system built using developed methods is constantly monitoring content from various sources, gathers and integrates content and distributes it to customers. The implementation of proposed methods and procedures allows effectively create and distribute content for targeted social audience and individual customers.

Information resources processing using linguistic analysis of textual content

The main objective of this work was the development of the information system for support of pharmacy customers. This system provides information about required medicines and their analogues, medicine availability and prices. The main functions of the system and detailed workflow diagrams are described. The developed consolidated information resource allows to find the right medicine, sort pharmacies according to medicine location and price, give the necessary information about pharmacies and medicines, search for alternative medicines with the same chemical agent, view usage instructions for selected medications without internet connection.

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The Consolidated Information Web-Resource about Pharmacy Networks in City.

The growth of volume of text resources on Internet and natural limitations of human cognition justifies the development of search enhancement systems. This paper proposes a contextual search method based on domain thesaurus. The method uses semantic metrics defined on thesaurus and weighted conceptual graph model for search enhancement. As an example a task of searching for partners working in similar research area is analyzed. The effectiveness of proposed method when evaluated using precision metric was better compared to Jaccard’s and WUP methods.

The Contextual Search Method Based on Domain Thesaurus

The complex dynamic structure of the ontology and its content requires implementing of optimization procedures to better ontology processing performance and resolve conflicts between data. This paper addresses the issues of ontology optimization with the purpose of adapting its content to the needs of users by excluding those items that are rarely used or not used at all, or which do not belong or not related to a particular subject area. The approach is based on automated weighting of concepts and relations during ontology learning. The ontology expanded in this way, is sequentially optimized according to criteria of integrity, absence of ambiguity, volume, response time, completeness and thematic balance. The optimization method of minimal spanning tree search was applied. This optimization task can be further reduced to the backpack problem for which the effective solving algorithms are known. The use of developed optimization techniques provides controlled automated ontology learning

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Method for Ontology Content and Structure Optimization, Provided by a Weighted Conceptual Graph

The paper addresses the problem of structural plot aspects analysis for both fiction and non-fiction works. For this, an approach based on ontological modeling is proposed. The requirements and the ontology for plot analysis and construction is developed. The structure of plot is represented by contextual graphs, containing scenes and action nodes. The meta-information, describing the specific scene is formalized using contextual ontology being a subset of common ontology of discourse. The proposed approach can be used for creation of new tools facilitating the detailed and multi-faceted analysis of literary works.

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Yevhen Burov

Papers

Information resources processing using linguistic analysis of textual content

The Consolidated Information Web-Resource about Pharmacy Networks in City.

The Contextual Search Method Based on Domain Thesaurus

Method for Ontology Content and Structure Optimization, Provided by a Weighted Conceptual Graph

Ontological Approach to Plot Analysis and Modeling.