Semi-Automated Formalization and Representation of the Engineering Knowledge Extracted From Spreadsheet Data

Development of new methods and tools for formalization and representation of complex knowledge in the context of the creation of intelligent systems remains in the scope of scientific research. Modern trends aim to automate the knowledge formalization and representation by using various sources of i...

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Autores principales:	Aleksandr Yu. Yurin, Nikita O. Dorodnykh, Alexey O. Shigarov
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Spreadsheet conceptual model data transformation domain model generation knowledge base engineering industrial safety inspection Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/e886d4d1ce56412886aca8dc904d4297
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spelling	oai:doaj.org-article:e886d4d1ce56412886aca8dc904d42972021-12-03T00:00:52ZSemi-Automated Formalization and Representation of the Engineering Knowledge Extracted From Spreadsheet Data2169-353610.1109/ACCESS.2021.3130172https://doaj.org/article/e886d4d1ce56412886aca8dc904d42972021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9624965/https://doaj.org/toc/2169-3536Development of new methods and tools for formalization and representation of complex knowledge in the context of the creation of intelligent systems remains in the scope of scientific research. Modern trends aim to automate the knowledge formalization and representation by using various sources of information, in particular, spreadsheets. This paper proposes a novel approach to the semi-automatic formalization and representation of the engineering knowledge in the form of conceptual models and knowledge base codes from spreadsheet data. Our approach comprises three phases: (I) rule-driven data transformation source spreadsheet tables to a specific canonical form (data preprocessing), (II) domain knowledge formalization and representation via the extraction and aggregation of conceptual model fragments from canonicalized tables, (III) model-driven synthesizing knowledge base and source codes from a domain model. The approach is implemented by our tools: TABBYXL provides the development of a software application for the spreadsheet data canonicalization; Personal Knowledge Base Designer is used to build and aggregate conceptual models fragments, as well as to construct a target knowledge base and to generate source codes. Our case study on the industrial safety inspection (ISI) demonstrates that the approach is fully suitable for prototyping knowledge bases containing decision-making rules.Aleksandr Yu. YurinNikita O. DorodnykhAlexey O. ShigarovIEEEarticleSpreadsheetconceptual modeldata transformationdomain model generationknowledge base engineeringindustrial safety inspectionElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 157468-157481 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Spreadsheet conceptual model data transformation domain model generation knowledge base engineering industrial safety inspection Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Spreadsheet conceptual model data transformation domain model generation knowledge base engineering industrial safety inspection Electrical engineering. Electronics. Nuclear engineering TK1-9971 Aleksandr Yu. Yurin Nikita O. Dorodnykh Alexey O. Shigarov Semi-Automated Formalization and Representation of the Engineering Knowledge Extracted From Spreadsheet Data
description	Development of new methods and tools for formalization and representation of complex knowledge in the context of the creation of intelligent systems remains in the scope of scientific research. Modern trends aim to automate the knowledge formalization and representation by using various sources of information, in particular, spreadsheets. This paper proposes a novel approach to the semi-automatic formalization and representation of the engineering knowledge in the form of conceptual models and knowledge base codes from spreadsheet data. Our approach comprises three phases: (I) rule-driven data transformation source spreadsheet tables to a specific canonical form (data preprocessing), (II) domain knowledge formalization and representation via the extraction and aggregation of conceptual model fragments from canonicalized tables, (III) model-driven synthesizing knowledge base and source codes from a domain model. The approach is implemented by our tools: TABBYXL provides the development of a software application for the spreadsheet data canonicalization; Personal Knowledge Base Designer is used to build and aggregate conceptual models fragments, as well as to construct a target knowledge base and to generate source codes. Our case study on the industrial safety inspection (ISI) demonstrates that the approach is fully suitable for prototyping knowledge bases containing decision-making rules.
format	article
author	Aleksandr Yu. Yurin Nikita O. Dorodnykh Alexey O. Shigarov
author_facet	Aleksandr Yu. Yurin Nikita O. Dorodnykh Alexey O. Shigarov
author_sort	Aleksandr Yu. Yurin
title	Semi-Automated Formalization and Representation of the Engineering Knowledge Extracted From Spreadsheet Data
title_short	Semi-Automated Formalization and Representation of the Engineering Knowledge Extracted From Spreadsheet Data
title_full	Semi-Automated Formalization and Representation of the Engineering Knowledge Extracted From Spreadsheet Data
title_fullStr	Semi-Automated Formalization and Representation of the Engineering Knowledge Extracted From Spreadsheet Data
title_full_unstemmed	Semi-Automated Formalization and Representation of the Engineering Knowledge Extracted From Spreadsheet Data
title_sort	semi-automated formalization and representation of the engineering knowledge extracted from spreadsheet data
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/e886d4d1ce56412886aca8dc904d4297
work_keys_str_mv	AT aleksandryuyurin semiautomatedformalizationandrepresentationoftheengineeringknowledgeextractedfromspreadsheetdata AT nikitaodorodnykh semiautomatedformalizationandrepresentationoftheengineeringknowledgeextractedfromspreadsheetdata AT alexeyoshigarov semiautomatedformalizationandrepresentationoftheengineeringknowledgeextractedfromspreadsheetdata
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Semi-Automated Formalization and Representation of the Engineering Knowledge Extracted From Spreadsheet Data

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