Loading…

An ontology-based method of conceptual modelling for open innovation diffusion

Existing methods for identifying scientific concepts can give ambiguous results, be used not for all areas of knowledge and applicable for detecting only a limited range of scientific concepts. An integrated approach to ontological modeling of the representation of scientific knowledge is proposed....

Full description

Saved in:
Bibliographic Details
Main Authors: Savelyev, Boris, Pronichkin, Sergey
Format: Conference Proceeding
Language:English
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page
container_issue 1
container_start_page
container_title
container_volume 2467
creator Savelyev, Boris
Pronichkin, Sergey
description Existing methods for identifying scientific concepts can give ambiguous results, be used not for all areas of knowledge and applicable for detecting only a limited range of scientific concepts. An integrated approach to ontological modeling of the representation of scientific knowledge is proposed. The features of the development of conceptual principles for extracting scientific data on the correlation of multi-format elements and the nature of the relationship between the related concepts of open innovation are revealed.
doi_str_mv 10.1063/5.0094097
format conference_proceeding
fullrecord <record><control><sourceid>proquest_scita</sourceid><recordid>TN_cdi_proquest_journals_2679418646</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2679418646</sourcerecordid><originalsourceid>FETCH-LOGICAL-p168t-a800d55f33f0b567211ef079ff960813f1b9697d5c23edae99a81ba85fbd695c3</originalsourceid><addsrcrecordid>eNp9kEtLAzEUhYMoWKsL_0HAnTA1mUxey1J8QdGNgruQmSR1yjR3nGQK_fe2WnDn6h4u37n3cBC6pmRGiWB3fEaIroiWJ2hCOaeFFFScoslhW5QV-zhHFymtCSm1lGqCXuYRQ8zQwWpX1DZ5hzc-f4LDEHADsfF9Hm2HN-B817VxhQMMGHofcRsjbG1uIWLXhjCmvbpEZ8F2yV8d5xS9P9y_LZ6K5evj82K-LHoqVC6sIsRxHhgLpOZClpT6QKQOQQuiKAu01kJLx5uSeWe91lbR2ioeaic0b9gU3fze7Qf4Gn3KZg3jEPcvTSmkrqgSldhTt79Uatr8k9T0Q7uxw85sYTDcHLsyvQv_wZSYQ7l_BvYN28VsBw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype><pqid>2679418646</pqid></control><display><type>conference_proceeding</type><title>An ontology-based method of conceptual modelling for open innovation diffusion</title><source>American Institute of Physics:Jisc Collections:Transitional Journals Agreement 2021-23 (Reading list)</source><creator>Savelyev, Boris ; Pronichkin, Sergey</creator><contributor>Voroshilova, Anna ; Kovalev, Igor ; Stupina, Alena</contributor><creatorcontrib>Savelyev, Boris ; Pronichkin, Sergey ; Voroshilova, Anna ; Kovalev, Igor ; Stupina, Alena</creatorcontrib><description>Existing methods for identifying scientific concepts can give ambiguous results, be used not for all areas of knowledge and applicable for detecting only a limited range of scientific concepts. An integrated approach to ontological modeling of the representation of scientific knowledge is proposed. The features of the development of conceptual principles for extracting scientific data on the correlation of multi-format elements and the nature of the relationship between the related concepts of open innovation are revealed.</description><identifier>ISSN: 0094-243X</identifier><identifier>EISSN: 1551-7616</identifier><identifier>DOI: 10.1063/5.0094097</identifier><identifier>CODEN: APCPCS</identifier><language>eng</language><publisher>Melville: American Institute of Physics</publisher><subject>Feature extraction ; Innovations ; Knowledge representation</subject><ispartof>AIP Conference Proceedings, 2022, Vol.2467 (1)</ispartof><rights>Author(s)</rights><rights>2022 Author(s). Published by AIP Publishing.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>309,310,314,780,784,789,790,23930,23931,25140,27924,27925</link.rule.ids></links><search><contributor>Voroshilova, Anna</contributor><contributor>Kovalev, Igor</contributor><contributor>Stupina, Alena</contributor><creatorcontrib>Savelyev, Boris</creatorcontrib><creatorcontrib>Pronichkin, Sergey</creatorcontrib><title>An ontology-based method of conceptual modelling for open innovation diffusion</title><title>AIP Conference Proceedings</title><description>Existing methods for identifying scientific concepts can give ambiguous results, be used not for all areas of knowledge and applicable for detecting only a limited range of scientific concepts. An integrated approach to ontological modeling of the representation of scientific knowledge is proposed. The features of the development of conceptual principles for extracting scientific data on the correlation of multi-format elements and the nature of the relationship between the related concepts of open innovation are revealed.</description><subject>Feature extraction</subject><subject>Innovations</subject><subject>Knowledge representation</subject><issn>0094-243X</issn><issn>1551-7616</issn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2022</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNp9kEtLAzEUhYMoWKsL_0HAnTA1mUxey1J8QdGNgruQmSR1yjR3nGQK_fe2WnDn6h4u37n3cBC6pmRGiWB3fEaIroiWJ2hCOaeFFFScoslhW5QV-zhHFymtCSm1lGqCXuYRQ8zQwWpX1DZ5hzc-f4LDEHADsfF9Hm2HN-B817VxhQMMGHofcRsjbG1uIWLXhjCmvbpEZ8F2yV8d5xS9P9y_LZ6K5evj82K-LHoqVC6sIsRxHhgLpOZClpT6QKQOQQuiKAu01kJLx5uSeWe91lbR2ioeaic0b9gU3fze7Qf4Gn3KZg3jEPcvTSmkrqgSldhTt79Uatr8k9T0Q7uxw85sYTDcHLsyvQv_wZSYQ7l_BvYN28VsBw</recordid><startdate>20220622</startdate><enddate>20220622</enddate><creator>Savelyev, Boris</creator><creator>Pronichkin, Sergey</creator><general>American Institute of Physics</general><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20220622</creationdate><title>An ontology-based method of conceptual modelling for open innovation diffusion</title><author>Savelyev, Boris ; Pronichkin, Sergey</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p168t-a800d55f33f0b567211ef079ff960813f1b9697d5c23edae99a81ba85fbd695c3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Feature extraction</topic><topic>Innovations</topic><topic>Knowledge representation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Savelyev, Boris</creatorcontrib><creatorcontrib>Pronichkin, Sergey</creatorcontrib><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Savelyev, Boris</au><au>Pronichkin, Sergey</au><au>Voroshilova, Anna</au><au>Kovalev, Igor</au><au>Stupina, Alena</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>An ontology-based method of conceptual modelling for open innovation diffusion</atitle><btitle>AIP Conference Proceedings</btitle><date>2022-06-22</date><risdate>2022</risdate><volume>2467</volume><issue>1</issue><issn>0094-243X</issn><eissn>1551-7616</eissn><coden>APCPCS</coden><abstract>Existing methods for identifying scientific concepts can give ambiguous results, be used not for all areas of knowledge and applicable for detecting only a limited range of scientific concepts. An integrated approach to ontological modeling of the representation of scientific knowledge is proposed. The features of the development of conceptual principles for extracting scientific data on the correlation of multi-format elements and the nature of the relationship between the related concepts of open innovation are revealed.</abstract><cop>Melville</cop><pub>American Institute of Physics</pub><doi>10.1063/5.0094097</doi><tpages>5</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0094-243X
ispartof AIP Conference Proceedings, 2022, Vol.2467 (1)
issn 0094-243X
1551-7616
language eng
recordid cdi_proquest_journals_2679418646
source American Institute of Physics:Jisc Collections:Transitional Journals Agreement 2021-23 (Reading list)
subjects Feature extraction
Innovations
Knowledge representation
title An ontology-based method of conceptual modelling for open innovation diffusion
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T04%3A55%3A47IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_scita&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=An%20ontology-based%20method%20of%20conceptual%20modelling%20for%20open%20innovation%20diffusion&rft.btitle=AIP%20Conference%20Proceedings&rft.au=Savelyev,%20Boris&rft.date=2022-06-22&rft.volume=2467&rft.issue=1&rft.issn=0094-243X&rft.eissn=1551-7616&rft.coden=APCPCS&rft_id=info:doi/10.1063/5.0094097&rft_dat=%3Cproquest_scita%3E2679418646%3C/proquest_scita%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-p168t-a800d55f33f0b567211ef079ff960813f1b9697d5c23edae99a81ba85fbd695c3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2679418646&rft_id=info:pmid/&rfr_iscdi=true