Publications

Distributional semantic modeling: a revised technique to train term/word vector space models applying the ontology-related approach

Published in Preprint prepared for the International Conference of Programming UkrPROG 2020 and scientific journal "Problemy programmirovaniâ", 2020

We design a new technique for the distributional semantic modeling with a neural network-based approach to learn distributed term representations (or term embeddings) – term vector space models as a result, inspired by the recent ontology-related approach (using different types of contextual knowledge such as syntactic knowledge, terminological knowledge, semantic knowledge, etc.) to the identification of terms (term extraction) and relations between them (relation extraction) called semantic pre-processing technology – SPT. Our method relies on automatic term extraction from the natural language texts and subsequent formation of the problem-oriented or application-oriented (also deeply annotated) text corpora where the fundamental entity is the term (includes non-compositional and compositional terms). This gives us an opportunity to changeover from distributed word representations (or word embeddings) to distributed term representations (or term embeddings). This transition will allow to generate more accurate semantic maps of different subject domains (also, of relations between input terms – it is useful to explore clusters and oppositions, or to test your hypotheses about them). The semantic map can be represented as a graph using Vec2graph – a Python library for visualizing word embeddings (term embeddings in our case) as dynamic and interactive graphs. The Vec2graph library coupled with term embeddings will not only improve accuracy in solving standard NLP tasks, but also update the conventional concept of automated ontology development. The main practical result of our work is the development kit (set of toolkits represented as web service APIs and web application), which provides all necessary routines for the basic linguistic pre-processing and the semantic pre-processing of the natural language texts in Ukrainian for future training of term vector space models.

Recommended citation: Palagin, O., Velychko, V., Malakhov, K., Shchurov, O. (2020). Distributional semantic modeling: a revised technique to train term/word vector space models applying the ontology-related approach. Retrieved from https://arxiv.org/abs/2003.03350 https://arxiv.org/abs/2003.03350

Modern RESTful API DLs and frameworks for RESTful web services API schema modeling, documenting, visualizing

Published in Problemy programmirovaniâ, 2018

The given paper presents an overview of modern RESTful API description languages (belongs to interface description languages set) - OpenAPI, RAML, WADL, Slate - designed to provide a structured description of a RESTful web APIs (that is useful both to a human and for automated machine processing), with related RESTful web API modeling frameworks. We propose an example of the schema model of web API of the service for pre-trained distributional semantic models (word embeddings) processing. This service is a part of the Personal Research Information System services ecosystem - the Research and Development Workstation Environment class system for supporting research in the field of ontology engineering: the automated building of applied ontology in an arbitrary domain area as a main feature; scientific and technical creativity: the automated preparation of application documents for patenting inventions in Ukraine. It also presents a quick look at the relationship of Service-Oriented Architecture and Web services as well as REST fundamentals and RESTful web services; RESTful API creation process.

Recommended citation: Malakhov, K., Kurgaev, O., Velychko, V. (2018). Modern RESTful API DLs and frameworks for RESTful web services API schema modeling, documenting, visualizing. Problemy programmirovaniâ, 4, 59–68. DOI: 10.15407/pp2018.04.059 http://dspace.nbuv.gov.ua/handle/123456789/150908

Research and Development Workstation Environment: the new class of Current Research Information Systems

Published in International Conference of Programming UkrPROG 2018, volume 2139 of CEUR Workshop Proceedings. Also published in scientific journal "Problemy programmirovaniâ", 2018

Against the backdrop of the development of modern technologies in the field of scientific research, the new class of Current Research Information Systems (CRIS) and related intelligent information technologies have arisen. It was called – Research and Development Workstation Environment (RDWE) – the comprehensive problem-oriented information systems for scientific research and development lifecycle support. The given paper describes design and development fundamentals of the RDWE class systems. The general information model of the RDWE class systems is developed. Also the paper represents the information model of the RDWE class system for supporting research in the field of ontology engineering – the automated building of applied ontology in an arbitrary domain area, scientific and technical creativity – the automated preparation of application documents for patenting inventions in Ukraine. It was called – Personal Research Information System. The main results of our work are focused on enhancing the effectiveness of the scientist’s research and development lifecycle in the arbitrary domain area.

Recommended citation: O.V. Palagin, V.Yu. Velychko, K.S. Malakhov, and O.S. Shchurov. Research and development workstation environment: the new class of current research information systems. In Ivan Sergienko and Philip Andon, editors, International Conference of Programming UkrPROG 2018, volume 2139 of CEUR Workshop Proceedings, pages 255-269. CEUR- WS.org, 2018 http://ceur-ws.org/Vol-2139/255-269.pdf

Information technology and integrated tools for support of smart systems research design

Published in Upravlâûŝie sistemy i mašiny, 2018

The article describes the methodological foundations of the development of scientific research design systems, which include: models, technology and tools for processing large volumes of text information/data; the formation of conceptual structures (ontologies) of different branches of knowledge, their system integration based on transdisciplinary and ontology concepts.

Recommended citation: Palagin, O., Petrenko, M., Malakhov, K. (2018). Information Technology and Integrated Tools for Support of the Smart Systems Research Design. Upravlâûŝie sistemy i mašiny, 2(274), 19-30. DOI: 10.15407/usim.2018.02.019 http://usim.org.ua/?page_id=3311&lang=en

Personal research information system. About developing the methods for searching patent analogs of invention

Published in Komp'ûternì zasobi, merežì ta sistemi, 2017

The article describes information model and the method for searching patent analogs for Personal Research Information System.

Recommended citation: Palagin, O., Velychko, V., Malakhov, K., Shchurov, O. (2017). Personal research information system. About developing the methods for searching patent analogs of invention. Komp'ûternì zasobi, merežì ta sistemi, 16, 5-13. Retrieved from http://dspace.nbuv.gov.ua/handle/123456789/131504

Designing and program implementation of the subsystem for creation and use of the ontological knowledge base of the scientific employee publications

Published in Problemy programmirovaniâ, 2017

Creation of supporting complex applications for scientific research has always been the one of the key areas of computer science. The main features of the modern development of scientific research are the transdisciplinary research approach and deep of all stages of the life cycle of the statement and solution of scientific problems. The given paper considers theoretical and practical aspects of developing advanced integrated knowledge-oriented information systems and their components. Analysis of the existing scientific information systems and the synthesis of the general principles for developing “The instrumental complex for scientific research workplace” and its components are presented. The functional components of knowledge-oriented information system “The instrumental complex for scientific research workplace” are designed. The functional models and software implementation of the software subsystem for creation and use of ontological knowledge base for research fellow’s publications, as a part of personalized knowledge base of scientific researcher are discussed. Research in modern conditions of e-Science paradigm requires pooling scientific community and intensive exchange of research results that may be achieved through the use of scientific information systems. “The instrumental complex for scientific research workplace” allows solving problems of contructivization and formalization of knowledge representation, obtained during the research process and collective accomplices interaction.

Recommended citation: Palagin, O., Malakhov, K., Velychko, V., Shchurov, O. (2017). Designing and program implementation of the subsystem for creation and use of the ontological knowledge base of the scientific employee publications. Problemy programmirovaniâ, 2, 72–81. Retrieved from http://pp.isofts.kiev.ua/ojs1/article/view/323/318

Integrated Tools for Engineering Ontologies

Published in International Journal Information Models & Analyses, 2014

The article presents an overview of current specialized ontology engineering tools, as well as texts’ annotation tools based on ontologies. The main functions and features of these tools, their advantages and disadvantages are discussed. A systematic comparative analysis of means for engineering ontologies is presented.

Recommended citation: Velychko, V., Malakhov, K., Semenkov, V., Strizhak, A. (2014). Integrated Tools for Engineering Ontologies. International Journal Information Models & Analyses, 3(4), 336–361. Retrieved from http://www.foibg.com/ijima/vol03/ijima03-04-p03.pdf

Analysis of the complex software systems for ontological engineering purpose

Published in Vìsnik Shìdnoukraïnsʹkogo nacìonalʹnogo unìversitetu ìmenì Volodimira Dalâ, 2014

The article presents an overview of current specialized ontology engineering tools (Tool Complex Ontological Destination, LоТА, SIMER+MIR, ICIDА-Т, Protégé, Ontolingua, InTez, OntoSTUDIO, OntoEdit) for the construction and integration of ontologies and annotation tools based on ontologies. The main features and capabilities of these tools, their advantages and disadvantages, as well as a comparative analysis of the data system.

Recommended citation: Malakhov, K.S., Semenkov, V.V. (2014). Analysis of the complex software systems for ontological engineering purpose. Vìsnik Shìdnoukraïnsʹkogo nacìonalʹnogo unìversitetu ìmenì Volodimira Dalâ, 5(212), 63–76. Retrieved from http://nbuv.gov.ua/UJRN/VSUNU_2014_5_13

Development of formal models, algorithms, procedures, engineering and functioning of the software system “Instrumental complex for ontological engineering purpose”

Published in International Conference of Programming UkrPROG 2014, volume 1843 of CEUR Workshop Proceedings. Also published in scientific journal "Problemy programmirovaniâ", 2014

The given paper considered a generalized model representation of the software system “Instrumental complex for ontological engineering purpose”. Represented complete software system development process. Developed relevant formal models of the software system “Instrumental complex for ontological engineering purpose”, represented as mathematical expressions, UML diagrams, and also described the three-tier architecture of the software system “Instrumental complex for ontological engineering purpose” in a client-server environment.

Recommended citation: A.V. Palagin, N.G. Petrenko, V.Yu. Velychko, and K.S. Malakhov. Development of formal models, algorithms, procedures, engineering and functioning of the software system "Instrumental complex for ontological engineering purpose". In Ivan Sergienko and Philip Andon, editors, International Conference of Programming UkrPROG 2014, volume 1843 of CEUR Workshop Proceedings, pages 221-232. CEUR-WS.org, 2014 http://ceur-ws.org/Vol-1843/221-232.pdf

About development of an ontological toolkit / To the problem of “The Instrumental complex for ontological engineering purpose” software system design

Published in Problemy programmirovaniâ, 2012

The given work describes methodological principles of design instrumental complex of ontological purpose. Instrumental complex intends for the implementation of the integrated information technologies automated build of domain ontologies. Results focus on enhancing the effectiveness of the automatic analysis and understanding of natural-language texts, building of knowledge description of subject areas (primarily in the area of science and technology) and for interdisciplinary research in conjunction with the solution of complex problems.

Recommended citation: Palagin, A.V., Petrenko, N.G., Velychko, V.Yu., Malakhov, K.S., Tikhonov, Yu.L. (2012). About development of an ontological toolkit. Problemy programmirovaniâ, 2-3, 289–298. Retrieved from http://pp.isofts.kiev.ua/ojs1/article/view/82/82