Ontology population as algebraic information system processing based on multi-agent natural language text analysis algorithms

Abstract The paper presents an approach to ontology population as operations with Scott information system. The deducibility relation in the ontology population information system corresponds to rules of input data processing and ontology population. To implement an ontology population process, we s...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Garanina, N. O. [verfasserIn] Sidorova, E. A. [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2015

Schlagwörter:	Multi Agent System Instance Agent Formal Concept Analysis Relation Agent Multi Agent

Übergeordnetes Werk:	Enthalten in: Programming and computer software - Moscow [u.a.] : MAIK Nauka/Interperiodica Publ. [u.a.], 2000, 41(2015), 3 vom: Mai, Seite 140-148
Übergeordnetes Werk:	volume:41 ; year:2015 ; number:3 ; month:05 ; pages:140-148

Links:	Volltext

DOI / URN:	10.1134/S0361768815030044

Katalog-ID:	SPR016739779

Internformat


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allfields	10.1134/S0361768815030044 doi (DE-627)SPR016739779 (SPR)S0361768815030044-e DE-627 ger DE-627 rakwb eng 004 ASE 54.50 bkl Garanina, N. O. verfasserin aut Ontology population as algebraic information system processing based on multi-agent natural language text analysis algorithms 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The paper presents an approach to ontology population as operations with Scott information system. The deducibility relation in the ontology population information system corresponds to rules of input data processing and ontology population. To implement an ontology population process, we suggest a multi-agent approach based on natural language semantic analysis. In the proposed multi-agent model, agents of the following two types interact: information agents corresponding to meaningful units of the information being retrieved and rule agents implementing population rules of the given ontology based on the semantic-syntactic model of the language. Multi Agent System (dpeaa)DE-He213 Instance Agent (dpeaa)DE-He213 Formal Concept Analysis (dpeaa)DE-He213 Relation Agent (dpeaa)DE-He213 Multi Agent (dpeaa)DE-He213 Sidorova, E. A. verfasserin aut Enthalten in Programming and computer software Moscow [u.a.] : MAIK Nauka/Interperiodica Publ. [u.a.], 2000 41(2015), 3 vom: Mai, Seite 140-148 (DE-627)332250474 (DE-600)2054216-1 1608-3261 nnns volume:41 year:2015 number:3 month:05 pages:140-148 https://dx.doi.org/10.1134/S0361768815030044 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.50 ASE AR 41 2015 3 05 140-148
spelling	10.1134/S0361768815030044 doi (DE-627)SPR016739779 (SPR)S0361768815030044-e DE-627 ger DE-627 rakwb eng 004 ASE 54.50 bkl Garanina, N. O. verfasserin aut Ontology population as algebraic information system processing based on multi-agent natural language text analysis algorithms 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The paper presents an approach to ontology population as operations with Scott information system. The deducibility relation in the ontology population information system corresponds to rules of input data processing and ontology population. To implement an ontology population process, we suggest a multi-agent approach based on natural language semantic analysis. In the proposed multi-agent model, agents of the following two types interact: information agents corresponding to meaningful units of the information being retrieved and rule agents implementing population rules of the given ontology based on the semantic-syntactic model of the language. Multi Agent System (dpeaa)DE-He213 Instance Agent (dpeaa)DE-He213 Formal Concept Analysis (dpeaa)DE-He213 Relation Agent (dpeaa)DE-He213 Multi Agent (dpeaa)DE-He213 Sidorova, E. A. verfasserin aut Enthalten in Programming and computer software Moscow [u.a.] : MAIK Nauka/Interperiodica Publ. [u.a.], 2000 41(2015), 3 vom: Mai, Seite 140-148 (DE-627)332250474 (DE-600)2054216-1 1608-3261 nnns volume:41 year:2015 number:3 month:05 pages:140-148 https://dx.doi.org/10.1134/S0361768815030044 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.50 ASE AR 41 2015 3 05 140-148
allfields_unstemmed	10.1134/S0361768815030044 doi (DE-627)SPR016739779 (SPR)S0361768815030044-e DE-627 ger DE-627 rakwb eng 004 ASE 54.50 bkl Garanina, N. O. verfasserin aut Ontology population as algebraic information system processing based on multi-agent natural language text analysis algorithms 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The paper presents an approach to ontology population as operations with Scott information system. The deducibility relation in the ontology population information system corresponds to rules of input data processing and ontology population. To implement an ontology population process, we suggest a multi-agent approach based on natural language semantic analysis. In the proposed multi-agent model, agents of the following two types interact: information agents corresponding to meaningful units of the information being retrieved and rule agents implementing population rules of the given ontology based on the semantic-syntactic model of the language. Multi Agent System (dpeaa)DE-He213 Instance Agent (dpeaa)DE-He213 Formal Concept Analysis (dpeaa)DE-He213 Relation Agent (dpeaa)DE-He213 Multi Agent (dpeaa)DE-He213 Sidorova, E. A. verfasserin aut Enthalten in Programming and computer software Moscow [u.a.] : MAIK Nauka/Interperiodica Publ. [u.a.], 2000 41(2015), 3 vom: Mai, Seite 140-148 (DE-627)332250474 (DE-600)2054216-1 1608-3261 nnns volume:41 year:2015 number:3 month:05 pages:140-148 https://dx.doi.org/10.1134/S0361768815030044 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.50 ASE AR 41 2015 3 05 140-148
allfieldsGer	10.1134/S0361768815030044 doi (DE-627)SPR016739779 (SPR)S0361768815030044-e DE-627 ger DE-627 rakwb eng 004 ASE 54.50 bkl Garanina, N. O. verfasserin aut Ontology population as algebraic information system processing based on multi-agent natural language text analysis algorithms 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The paper presents an approach to ontology population as operations with Scott information system. The deducibility relation in the ontology population information system corresponds to rules of input data processing and ontology population. To implement an ontology population process, we suggest a multi-agent approach based on natural language semantic analysis. In the proposed multi-agent model, agents of the following two types interact: information agents corresponding to meaningful units of the information being retrieved and rule agents implementing population rules of the given ontology based on the semantic-syntactic model of the language. Multi Agent System (dpeaa)DE-He213 Instance Agent (dpeaa)DE-He213 Formal Concept Analysis (dpeaa)DE-He213 Relation Agent (dpeaa)DE-He213 Multi Agent (dpeaa)DE-He213 Sidorova, E. A. verfasserin aut Enthalten in Programming and computer software Moscow [u.a.] : MAIK Nauka/Interperiodica Publ. [u.a.], 2000 41(2015), 3 vom: Mai, Seite 140-148 (DE-627)332250474 (DE-600)2054216-1 1608-3261 nnns volume:41 year:2015 number:3 month:05 pages:140-148 https://dx.doi.org/10.1134/S0361768815030044 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.50 ASE AR 41 2015 3 05 140-148
allfieldsSound	10.1134/S0361768815030044 doi (DE-627)SPR016739779 (SPR)S0361768815030044-e DE-627 ger DE-627 rakwb eng 004 ASE 54.50 bkl Garanina, N. O. verfasserin aut Ontology population as algebraic information system processing based on multi-agent natural language text analysis algorithms 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The paper presents an approach to ontology population as operations with Scott information system. The deducibility relation in the ontology population information system corresponds to rules of input data processing and ontology population. To implement an ontology population process, we suggest a multi-agent approach based on natural language semantic analysis. In the proposed multi-agent model, agents of the following two types interact: information agents corresponding to meaningful units of the information being retrieved and rule agents implementing population rules of the given ontology based on the semantic-syntactic model of the language. Multi Agent System (dpeaa)DE-He213 Instance Agent (dpeaa)DE-He213 Formal Concept Analysis (dpeaa)DE-He213 Relation Agent (dpeaa)DE-He213 Multi Agent (dpeaa)DE-He213 Sidorova, E. A. verfasserin aut Enthalten in Programming and computer software Moscow [u.a.] : MAIK Nauka/Interperiodica Publ. [u.a.], 2000 41(2015), 3 vom: Mai, Seite 140-148 (DE-627)332250474 (DE-600)2054216-1 1608-3261 nnns volume:41 year:2015 number:3 month:05 pages:140-148 https://dx.doi.org/10.1134/S0361768815030044 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.50 ASE AR 41 2015 3 05 140-148
language	English
source	Enthalten in Programming and computer software 41(2015), 3 vom: Mai, Seite 140-148 volume:41 year:2015 number:3 month:05 pages:140-148
sourceStr	Enthalten in Programming and computer software 41(2015), 3 vom: Mai, Seite 140-148 volume:41 year:2015 number:3 month:05 pages:140-148
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Multi Agent System Instance Agent Formal Concept Analysis Relation Agent Multi Agent
dewey-raw	004
isfreeaccess_bool	false
container_title	Programming and computer software
authorswithroles_txt_mv	Garanina, N. O. @@aut@@ Sidorova, E. A. @@aut@@
publishDateDaySort_date	2015-05-01T00:00:00Z
hierarchy_top_id	332250474
dewey-sort	14
id	SPR016739779
language_de	englisch
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author	Garanina, N. O.
spellingShingle	Garanina, N. O. ddc 004 bkl 54.50 misc Multi Agent System misc Instance Agent misc Formal Concept Analysis misc Relation Agent misc Multi Agent Ontology population as algebraic information system processing based on multi-agent natural language text analysis algorithms
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topic_title	004 ASE 54.50 bkl Ontology population as algebraic information system processing based on multi-agent natural language text analysis algorithms Multi Agent System (dpeaa)DE-He213 Instance Agent (dpeaa)DE-He213 Formal Concept Analysis (dpeaa)DE-He213 Relation Agent (dpeaa)DE-He213 Multi Agent (dpeaa)DE-He213
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title	Ontology population as algebraic information system processing based on multi-agent natural language text analysis algorithms
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title_full	Ontology population as algebraic information system processing based on multi-agent natural language text analysis algorithms
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author_browse	Garanina, N. O. Sidorova, E. A.
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title_sort	ontology population as algebraic information system processing based on multi-agent natural language text analysis algorithms
title_auth	Ontology population as algebraic information system processing based on multi-agent natural language text analysis algorithms
abstract	Abstract The paper presents an approach to ontology population as operations with Scott information system. The deducibility relation in the ontology population information system corresponds to rules of input data processing and ontology population. To implement an ontology population process, we suggest a multi-agent approach based on natural language semantic analysis. In the proposed multi-agent model, agents of the following two types interact: information agents corresponding to meaningful units of the information being retrieved and rule agents implementing population rules of the given ontology based on the semantic-syntactic model of the language.
abstractGer	Abstract The paper presents an approach to ontology population as operations with Scott information system. The deducibility relation in the ontology population information system corresponds to rules of input data processing and ontology population. To implement an ontology population process, we suggest a multi-agent approach based on natural language semantic analysis. In the proposed multi-agent model, agents of the following two types interact: information agents corresponding to meaningful units of the information being retrieved and rule agents implementing population rules of the given ontology based on the semantic-syntactic model of the language.
abstract_unstemmed	Abstract The paper presents an approach to ontology population as operations with Scott information system. The deducibility relation in the ontology population information system corresponds to rules of input data processing and ontology population. To implement an ontology population process, we suggest a multi-agent approach based on natural language semantic analysis. In the proposed multi-agent model, agents of the following two types interact: information agents corresponding to meaningful units of the information being retrieved and rule agents implementing population rules of the given ontology based on the semantic-syntactic model of the language.
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title_short	Ontology population as algebraic information system processing based on multi-agent natural language text analysis algorithms
url	https://dx.doi.org/10.1134/S0361768815030044
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author2	Sidorova, E. A.
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doi_str	10.1134/S0361768815030044
up_date	2024-07-04T00:39:21.305Z
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O.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Ontology population as algebraic information system processing based on multi-agent natural language text analysis algorithms</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2015</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract The paper presents an approach to ontology population as operations with Scott information system. The deducibility relation in the ontology population information system corresponds to rules of input data processing and ontology population. To implement an ontology population process, we suggest a multi-agent approach based on natural language semantic analysis. In the proposed multi-agent model, agents of the following two types interact: information agents corresponding to meaningful units of the information being retrieved and rule agents implementing population rules of the given ontology based on the semantic-syntactic model of the language.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Multi Agent System</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Instance Agent</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Formal Concept Analysis</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Relation Agent</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Multi Agent</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sidorova, E. 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Ontology population as algebraic information system processing based on multi-agent natural language text analysis algorithms

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